@Preamble{"\input bibnames.sty" #
"\ifx \undefined \booktitle \def \booktitle #1{{{\em #1}}} \fi" #
"\ifx \undefined \TM \def \TM {${}^{\sc TM}$} \fi"
}
@String{ack-nhfb = "Nelson H. F. Beebe,
University of Utah,
Department of Mathematics, 110 LCB,
155 S 1400 E RM 233,
Salt Lake City, UT 84112-0090, USA,
Tel: +1 801 581 5254,
FAX: +1 801 581 4148,
e-mail: \path|beebe@math.utah.edu|,
\path|beebe@acm.org|,
\path|beebe@computer.org| (Internet),
URL: \path|https://www.math.utah.edu/~beebe/|"}
@String{j-TSC = "ACM Transactions on Social Computing (TSC)"}
@Article{Crowston:2018:IAT,
author = "Kevin Crowston",
title = "Introduction to {{\booktitle{ACM Transactions on
Social Computing}}}",
journal = j-TSC,
volume = "1",
number = "1",
pages = "1:1--1:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3181713",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:50 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3181713",
acknowledgement = ack-nhfb,
articleno = "1e",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Schmitz:2018:OSN,
author = "Heinz Schmitz and Ioanna Lykourentzou",
title = "Online Sequencing of Non-Decomposable Macrotasks in
Expert Crowdsourcing",
journal = j-TSC,
volume = "1",
number = "1",
pages = "1:1--1:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3140459",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:50 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3140459",
abstract = "We introduce the problem of Task Assignment and
Sequencing, which models online optimization in expert
crowdsourcing settings that involve non-decomposable
macrotasks. Non-decomposition is a property of certain
types of complex problems, like the formulation of an
R\\&D approach or the definition of a research
methodology, which cannot be handled through the
``divide-and-conquer'' approach typically used in
microtask crowdsourcing. In contrast to splitting the
macrotask to multiple microtasks and allocating them to
several workers in parallel, our model supports the
sequential improvement of the macrotask one worker at a
time, across distinct time slots of a given timeline,
until a sufficient quality level is achieved. Our model
assumes an online environment where expert workers are
available only at specific time slots and worker/task
arrivals are not known a priori. With respect to this
setting, we propose TAS-ONLINE, an online algorithm
that aims to complete as many tasks as possible within
budget, required quality, and a given timeline, without
any future input information regarding job release
dates or worker availabilities. Experimental results
comparing TAS-ONLINE to five benchmarks show that it
achieves more completed jobs, lower flow times, and
higher job quality. This work bears practical
implications for providing performance and quality
guarantees to expert crowdsourcing platforms that wish
to integrate non-decomposable macrotasks into their
offered services.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Tolmie:2018:MAP,
author = "Peter Tolmie and Rob Procter and Mark Rouncefield and
Maria Liakata and Arkaitz Zubiaga",
title = "Microblog Analysis as a Program of Work",
journal = j-TSC,
volume = "1",
number = "1",
pages = "2:1--2:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3162956",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:50 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3162956",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Garimella:2018:QCS,
author = "Kiran Garimella and Gianmarco {De Francisci Morales}
and Aristides Gionis and Michael Mathioudakis",
title = "Quantifying Controversy on Social Media",
journal = j-TSC,
volume = "1",
number = "1",
pages = "3:1--3:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3140565",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:50 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3140565",
abstract = "Which topics spark the most heated debates on social
media? Identifying those topics is not only interesting
from a societal point of view but also allows the
filtering and aggregation of social media content for
disseminating news stories. In this article, we perform
a systematic methodological study of controversy
detection by using the content and the network
structure of social media. Unlike previous work, rather
than studying controversy in a single hand-picked topic
and using domain-specific knowledge, we take a general
approach to study topics in any domain. Our approach to
quantifying controversy is based on a graph-based
three-stage pipeline, which involves (i) building a
conversation graph about a topic, (ii) partitioning the
conversation graph to identify potential sides of the
controversy, and (iii) measuring the amount of
controversy from characteristics of the graph. We
perform an extensive comparison of controversy
measures, different graph-building approaches, and data
sources. We use both controversial and
non-controversial topics on Twitter, as well as other
external datasets. We find that our new
random-walk-based measure outperforms existing ones in
capturing the intuitive notion of controversy and show
that content features are vastly less helpful in this
task.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Liu:2018:CSM,
author = "Weichen Liu and Sijia Xiao and Jacob T. Browne and
Ming Yang and Steven P. Dow",
title = "{ConsensUs}: Supporting Multi-Criteria Group Decisions
by Visualizing Points of Disagreement",
journal = j-TSC,
volume = "1",
number = "1",
pages = "4:1--4:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3159649",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:50 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3159649",
abstract = "Groups often face difficulty reaching consensus. For
complex decisions with multiple criteria, verbal and
written discourse alone may impede groups from
pinpointing and moving past fundamental disagreements.
To help support consensus building, we introduce
ConsensUs, a novel visualization tool that highlights
disagreement by asking group members to quantify their
subjective opinions across multiple criteria. To
evaluate this approach, we conducted a between-subjects
experiment with 87 participants on a comparative hiring
task. The study compared three modes of sensemaking on
a group decision: written discourse only, visualization
only, and written discourse plus visualization. We
confirmed that the visualization helped participants
identify disagreements within the group and then
measured subsequent changes to their individual
opinions. The results show that disagreement
highlighting led participants to align their ratings
more with the opinions of other group members. While
disagreement highlighting led to better score
alignment, participants reported a number of reasons
for shifting their score, from genuine consensus to
appeasement. We discuss further research angles to
understand how disagreement highlighting affects social
processes and whether it produces objectively better
decisions.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Morstatter:2018:IFB,
author = "Fred Morstatter and Liang Wu and Uraz Yavanoglu and
Stephen R. Corman and Huan Liu",
title = "Identifying Framing Bias in Online News",
journal = j-TSC,
volume = "1",
number = "2",
pages = "5:1--5:??",
month = jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3204948",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3204948",
abstract = "It has been observed that different media outlets
exert bias in the way they report the news, which
seamlessly influences the way that readers' knowledge
is built through filtering what we read. Therefore,
understanding bias in news media is fundamental for
obtaining a holistic view of a news story. Traditional
work has focused on biases in terms of ``agenda
setting,'' where more attention is allocated to stories
that fit their biased narrative. The corresponding
method is straightforward, since the bias can be
detected through counting the occurrences of different
stories/themes within the documents. However, these
methods are not applicable to biases which are implicit
in wording, namely, ``framing'' bias. According to
framing theory, biased communicators will select and
emphasize certain facts and interpretations over others
when telling their story. By focusing on facts and
interpretations that conform to their bias, they can
tell the story in a way that suits their narrative.
Automatic detection of framing bias is challenging
since nuances in the wording can change the
interpretation of the story. In this work, we aim to
investigate how the subtle pattern hidden in language
use of a news agency can be discovered and further
leveraged to detect frames. In particular, we aim to
identify the type and polarity of frame in a sentence.
Extensive experiments are conducted on real-world data
from different countries. A case study is further
provided to reveal possible applications of the
proposed method.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Simperl:2018:VCS,
author = "Elena Simperl and Neal Reeves and Chris Phethean and
Todd Lynes and Ramine Tinati",
title = "Is Virtual Citizen Science A Game?",
journal = j-TSC,
volume = "1",
number = "2",
pages = "6:1--6:??",
month = jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3209960",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3209960",
abstract = "The use of game elements within virtual citizen
science is increasingly common, promising to bring
increased user activity, motivation, and engagement to
large-scale scientific projects. However, there is an
ongoing debate about whether or not gamifying systems
such as these is actually an effective means by which
to increase motivation and engagement in the long term.
While gamification itself is receiving a large amount
of attention, there has been little beyond individual
studies to assess its suitability or success for
citizen science; similarly, while frameworks exist for
assessing citizen science performance, they tend to
lack any appreciation of the effects that game elements
might have had. We therefore review the literature to
determine what the trends are regarding the performance
of particular game elements or characteristics in
citizen science, and survey existing projects to assess
how popular different game features are. Investigating
this phenomenon further, we then present the results of
a series of interviews carried out with the EyeWire
citizen science project team to understand more about
how gamification elements are introduced, monitored,
and assessed in a live project. Our findings suggest
that projects use a range of game elements with points
and leaderboards the most popular, particularly in
projects that describe themselves as ``games.''
Currently, gamification appears to be effective in
citizen science for maintaining engagement with
existing communities, but shows limited impact for
attracting new players.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Shi:2018:MPR,
author = "Chuan Shi and Jian Liu and Yiding Zhang and Binbin Hu
and Shenghua Liu and Philip S. Yu",
title = "{MFPR}: A Personalized Ranking Recommendation with
Multiple Feedback",
journal = j-TSC,
volume = "1",
number = "2",
pages = "7:1--7:??",
month = jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3216368",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3216368",
abstract = "Recently, recommender systems have played an important
role in improving web user experiences and increasing
profits. Recommender systems exploit users' behavioral
history (i.e., feedback on items) to build models. The
feedback usually includes explicit feedback (e.g.,
ratings) and implicit feedback (e.g., browsing history,
click logs), which are both useful for improving
recommendations. However, as far as we are concerned,
no existing works have integrated both explicit and
multiple implicit feedback simultaneously. Therefore,
we propose a unified and flexible model, named Multiple
Feedback-based Personalized Ranking (MFPR), to make
full use of multiple feedback, which uses a
personalized ranking framework. To train model MFPR, we
design an algorithm to generate ordered item pairs as
labeled data, with consideration of both rating scores
and multiple implicit feedback. Extensive experiments
on two real-world datasets validate the effectiveness
of the MFPR model. With the integration of multiple
feedback, MFPR significantly improves recommendation
performance.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Tausczik:2018:ECS,
author = "Yla Tausczik and Rosta Farzan and John Levine and
Robert Kraut",
title = "Effects of Collective Socialization on Newcomers'
Response to Feedback in Online Communities",
journal = j-TSC,
volume = "1",
number = "2",
pages = "8:1--8:??",
month = jun,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3191834",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3191834",
abstract = "Collective socialization involves introducing new
members to an organization as a group or cohort. In
traditional offline organizations, collective
socialization is a standard and effective socialization
strategy. This article investigates the impact of
collective socialization on newcomers' motivation and
learning in an online community and the effect it has
on newcomers' reaction to feedback from the community.
One observational field study and two random-assignment
experiments involving editing Wikipedia articles show
that collective socialization altered the way newcomers
responded to feedback from the community. The
observational study of students editing Wikipedia
articles as part of a classroom assignment found that
those who worked relatively independently without peer
support made more edits in response to critical,
negative feedback, presumably to fix errors, whereas
students who had peer support did not. Two experiments
in which Mechanical Turk workers edited Wikipedia
articles independently or in a group found that working
in a group diffused the impact of both positive and
negative feedback. We discuss these findings, which
highlight the importance of considering the negative
consequences of introducing a new socialization
practice to an online community.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Robert:2018:GSI,
author = "Lionel P. {Robert, Jr.} and Andrea Forte and Claudia
M{\"u}ller and Michael Prilla and Adriana S. Vivacqua",
title = "{GROUP 2018} Special Issue Guest Editorial: Another 25
Years of {GROUP}",
journal = j-TSC,
volume = "1",
number = "3",
pages = "9:1--9:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3290870",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3290870",
abstract = "For over 25 years, the ACM International Conference on
Supporting Group Work (GROUP) has been and will
continue to be the premier venue for research on
Computer-Supported Cooperative Work, Human--Computer
Interaction, Computer-Supported Collaborative Learning,
and Socio-Technical Studies. The three papers in this
special issue demonstrate GROUP's continued commitment
to diverse research approaches, emerging technologies,
and collaborative work. We hope you enjoy these papers
and, like us, look forward to another 25 years of
GROUP.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Jabbar:2018:PIV,
author = "Karim Jabbar and Pernille Bj{\o}rn",
title = "Permeability, Interoperability, and Velocity:
Entangled Dimensions of Infrastructural Grind at the
Intersection of Blockchain and Shipping",
journal = j-TSC,
volume = "1",
number = "3",
pages = "10:1--10:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3288800",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib;
https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3288800",
abstract = "Blockchain can potentially be appropriated as a social
computing technology, which enables transactions across
people and artefacts via a large socio-technical
information infrastructure constituted by the actions
of multiple people and computers. However, Blockchain
is not a social computing technology a priori; instead
to emerge as one, much effort and work is required to
radically transform existing domains, including
wrestling with traditions, standards, and legacy. In
this article, we expand on previous work on Blockchain
as an information infrastructure, and on the notion of
infrastructural grind. Infrastructural grind allows us
to analytically explore how the emerging Blockchain
technology is appropriated into established business
domains, in our case the shipping industry. We present
ethnographic data unpacking three different accounts of
infrastructural grind taking place at the intersection
of the shipping and the Blockchain information
infrastructures. The results demonstrate that
infrastructural grind occurs as a result of various
infrastructuring activities taking place at different
intersections between the two infrastructures and is
constituted of the sum of these activities. We propose
a framework in which infrastructural grind is
constituted of three entangled dimensions:
permeability, interoperability, and velocity. These
socio-technical dimensions relate to infrastructural
properties such as legacy, embeddedness, and standards,
as well as to technical properties of specific
solutions deployed at specific points of
infrastructural grind. Our analysis shows that these
dimensions are enacted differently along the shipping
supply chain, and depending on the dynamic interplay
between them at various points of infrastructural
grind. At different points in time, the infrastructural
grind between Blockchain and the shipping domain will
thus manifest itself differently and at differential
velocity.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Yu:2018:MUI,
author = "Xianqi Yu and Yuqing Sun and Elisa Bertino and Xin
Li",
title = "Modeling User Intrinsic Characteristic on Social Media
for Identity Linkage",
journal = j-TSC,
volume = "1",
number = "3",
pages = "11:1--11:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3267442",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3267442",
abstract = "Most users on social media have intrinsic
characteristics, such as interests and political views,
that can be exploited to identify and track them, thus
raising privacy and identity concerns in online
communities. In this article, we investigate the
problem of user identity linkage on two behavior
datasets collected from different experiments.
Specifically, we focus on user linkage based on users'
interaction behaviors with respect to content topics.
We propose an embedding method to model a topic as a
vector in a latent space to interpret its deep
semantics. Then a user is modeled as a vector based on
his or her interactions with topics. The embedding
representations of topics are learned by optimizing the
joint-objective: the compatibility between topics with
similar semantics, the discriminative abilities of
topics to distinguish identities, and the consistency
of the same user's characteristics from two datasets.
The effectiveness of our method is verified on
real-life datasets and the results show that it
outperforms related methods. We also analyze failure
cases in the application of our identity linkage
method. Our analysis shows that factors such as the
visibility and variance of user behaviors and users'
group psychology can result in mis-linkages. We also
analyze the details of the behaviors of some
representative users to understand the essential
reasons for their identity being mis-linked. We find
that these users have high variance level in their
behaviors. According to the above experimental results,
we introduce a confidence score into identity linkage
to provide information about the accuracy of the method
results.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Jan:2018:APD,
author = "Steve T. K. Jan and Chun Wang and Qing Zhang and Gang
Wang",
title = "Analyzing Payment-Driven Targeted {Q\&A} Systems",
journal = j-TSC,
volume = "1",
number = "3",
pages = "12:1--12:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3281449",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3281449",
abstract = "Today's online question and answer (Q\&A) services are
receiving a large volume of questions. It becomes
increasingly challenging to motivate domain experts to
provide quick and high-quality answers. Recent systems
seek to engage real-world experts by allowing them to
set a price on their answers. This leads to a
``targeted'' Q\&A model where users ask questions to a
target expert by paying the corresponding price. In
this article, we perform a case study on two emerging
targeted Q\&A systems, Fenda (China) and Whale (U.S.),
to understand how monetary incentives affect user
behavior. By analyzing a large dataset of 220K
questions (worth 1 million USD), we find that payments
indeed enable quick answers from experts, but also
drive certain users to game the system for profits. In
addition, this model requires users (experts) to
proactively adjust their price to make profits. People
who are unwilling to lower their prices are likely to
hurt their income and engagement over time.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Santani:2018:LSL,
author = "Darshan Santani and Salvador Ruiz-Correa and Daniel
Gatica-Perez",
title = "Looking South: Learning Urban Perception in Developing
Cities",
journal = j-TSC,
volume = "1",
number = "3",
pages = "13:1--13:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3224182",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:51 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3224182",
abstract = "Mobile and social technologies are providing new
opportunities to document, characterize, and gather
impressions of urban environments. In this article, we
present a study that examines urban perceptions of
three cities in central Mexico; the study integrates a
mobile crowdsourcing framework to collect geo-localized
images of urban environments by a local youth
community, an online crowdsourcing platform to gather
impressions of urban environments along 12 physical and
psychological dimensions, and a deep learning framework
to automatically infer human impressions of outdoor
urban scenes. Our study resulted in a collection of
7,000 geo-localized images containing outdoor scenes
and views of each city's built environment, including
touristic, historical, and residential neighborhoods,
and 144,000 individual judgments from Amazon Mechanical
Turk. Statistical analyses show that outdoor
environments can be assessed in terms of interrater
agreement for most of the urban dimensions by the
observers of crowdsourced images. Furthermore, we
proposed a methodology to automatically infer human
perceptions of outdoor scenes using a variety of
low-level image features and generic deep learning
(CNN) features. We found that CNN features consistently
outperformed all the individual low-level image
features for all the studied urban dimensions. We
obtained a maximum R 2 of 0.49 using CNN features; for
9 out of 12 labels, the obtained R 2 values exceeded
0.44.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Crowston:2018:LPU,
author = "Kevin Crowston and Xuefei (Nancy) Deng and Yoram M.
Kalman",
title = "A Librarian, a Politician, a {UX} Expert, and a
Cyberbully Walk into a Special Issue",
journal = j-TSC,
volume = "1",
number = "4",
pages = "14:1--14:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3293613",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3293613",
acknowledgement = ack-nhfb,
articleno = "14e",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Gasson:2018:PAS,
author = "Susan Gasson and Michelle Purcelle",
title = "A Participation Architecture to Support User
Peripheral Participation in a Hybrid {FOSS} Community",
journal = j-TSC,
volume = "1",
number = "4",
pages = "14:1--14:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3290837",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3290837",
abstract = "Participation by product users is critical to success
in free, open-source software (FOSS) software
communities as they originate and develop valuable
ideas for product innovation that are unlikely to
originate from the core software development community.
Users tend to be involved at the periphery of FOSS
communities, suggesting new product ideas, highlighting
problems with user documentation, or explaining when
the product design fails to fit with the needs of their
local user application domain. As an increasing number
of FOSS projects employ a hybrid participation model
that combines volunteer effort with paid software
development effort or product support, it can be
difficult for non-developer users to participate in
product innovation. In colocated organizations, it is
theorized that peripheral participants learn how to
engage with the practices and cultural identity of a
community through a sociocultural apprenticeship known
as legitimate peripheral participation. But we have
little literature that explores how legitimate
peripheral participation is enabled in online
communities. The research study presented in this
article explores how participation by peripheral users
in a hybrid FOSS project is afforded by participation
architecture channels and community mechanisms that
mediate two forms of engagement: a ``cognitive
apprenticeship'' that introduces participants to
situated domain activity, such as the community
processes involved in product innovation, and a
``social apprenticeship'' by which participants become
enculturated in the system of meanings, values, norms,
and behaviors that govern community/participant
identity. We identified five stages of community
innovation, analyzing sociotechnical affordances of the
online participation architecture that enable
peripheral participants to internalize the meanings of
community practice and to develop a social identity
within the FOSS community. Our contribution to theory
is provided by the substantive explanation of the
cognitive and social translations that enable
legitimate peripheral participation in online
communities, mediated by sociotechnical access channels
and mechanisms that afford two contrasting forms of
opportunities for action: those resulting from
interactions between a goal-oriented actor and the
technology platform features or channels of
participation, and those associated with the social
structures, roles, and relationships underpinning
community interactions. Neither of these is sufficient
without the other. Our contribution to practice is
provided by an explanation of how four distinct
categories of affordance provide these cognitive and
social apprenticeship benefits, allowing participation
architecture designers to cater to all forms of
peripheral user participation. We conclude that the
technical affordances of a typical FOSS community
participation architecture are insufficient to mediate
peripheral participation by nontechnical users.
Meaningful participation is mediated by interactions
between boundary spanners who play knowledge-brokering
and organizational bridging roles. The combination of
technical and social affordances enables peripheral
participants to acquire an interior view of community
practices and social culture and in turn to introduce
new ideas, new values, and new rationales to produce a
generative dance of innovation that percolates through
the community.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Tahmasbi:2018:SCA,
author = "Nargess Tahmasbi and Elham Rastegari",
title = "A Socio-Contextual Approach in Automated Detection of
Public Cyberbullying on {Twitter}",
journal = j-TSC,
volume = "1",
number = "4",
pages = "15:1--15:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3290838",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3290838",
abstract = "Cyberbullying is a major cyber issue that is common
among adolescents. Recent reports show that more than
one out of five students in the United States is a
victim of cyberbullying. Majority of cyberbullying
incidents occur on public social media platforms such
as Twitter. Automated cyberbullying detection methods
can help prevent cyberbullying before the harm is done
on the victim. In this study, we analyze two corpora of
cyberbullying tweets from similar incidents to
construct and validate an automated detection model.
Our method emphasizes the two claims that are supported
by our results. First, despite other approaches that
assume that cyberbullying instances use vulgar or
profane words, we show that they do not necessarily
contain negative words. Second, we highlight the
importance of context and the characteristics of actors
involved and their position in the network structure in
detecting cyberbullying rather than only considering
the textual content in our analysis.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Bay:2018:SME,
author = "Morten Bay",
title = "Social Media Ethics: a {Rawlsian} Approach to
Hypertargeting and Psychometrics in Political and
Commercial Campaigns",
journal = j-TSC,
volume = "1",
number = "4",
pages = "16:1--16:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3281450",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3281450",
abstract = "Targeted social media advertising based on
psychometric user profiling has emerged as an effective
way of reaching individuals who are predisposed to
accept and be persuaded by the advertising message.
This article argues that in the case of political
advertising, this may present a democratic and ethical
challenge. Hypertargeting methods such as psychometrics
can ``crowd out'' political communication with opposing
views due to individual attention and time limitations,
creating inequities in the access to information
essential for voting decisions. The use of
psychometrics also appears to have been used to spread
both information and misinformation through social
media in recent elections in the U.S. and Europe. This
article is an applied ethics study of these methods in
the context of democratic processes and compared to
purely commercial situations. The ethical approach is
based on the theoretical, contractarian work of John
Rawls, which serves as a lens through which the author
examines whether the rights of individuals, as Rawls
attributes them, are violated by this practice. The
article concludes that within a Rawlsian framework, use
of psychometrics in commercial advertising on social
media platforms, though not immune to criticism, is not
necessarily unethical. In a democracy, however, the
individual cannot abandon the consumption of political
information, and since using psychometrics in political
campaigning makes access to such information unequal,
it violates Rawlsian ethics and should be regulated.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Kou:2018:USR,
author = "Yubo Kou and Colin M. Gray and Austin L. Toombs and
Robin S. Adams",
title = "Understanding Social Roles in an Online Community of
Volatile Practice: A Study of User Experience
Practitioners on {Reddit}",
journal = j-TSC,
volume = "1",
number = "4",
pages = "17:1--17:??",
month = dec,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3283827",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3283827",
abstract = "Community of practice (CoP) is a primary framework in
social computing research that addresses learning and
organizing specific practices in online communities.
However, the classic CoP theory does not provide a
detailed account for how practices change or evolve.
Against the backdrop of a rapidly changing occupational
landscape, it is crucial to understand how people
participate in online communities focused on practices
that have a volatile nature, as well as how social
computing tools can best support them. In this article,
we examine user experience (UX) design as a volatile
practice that has no coherent body of knowledge and
lacks a concrete path for newcomers to become a UX
professional. Our study site is the
``/r/userexperience'' subreddit, an online UX community
where practitioners socialize and learn. Using a
mixed-methods approach, we identified five distinct
social roles in relation to knowledge production and
dissemination in the online community of volatile
practice. We demonstrate that knowledge production is
highly distributed, involving the participation and
sensemaking of community members of varied levels of
experience. We discuss how online platforms support
online community of volatile practice and how our
findings contribute to the CoP literature.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Saldivar:2019:OIM,
author = "Jorge Saldivar and Florian Daniel and Luca Cernuzzi
and Fabio Casati",
title = "Online Idea Management for Civic Engagement: A Study
on the Benefits of Integration with Social Networking",
journal = j-TSC,
volume = "2",
number = "1",
pages = "1:1--1:??",
month = feb,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3284982",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3284982",
abstract = "Idea Management (IM) has increasingly been adopted in
the civic domain as a tool to engage the citizenry in
processes oriented toward innovating plans, policies,
and services. While Idea Management Systems (IMSs), the
software systems that instrument IM, definitely help
manage this practice, they require citizens to be
committed to a separate virtual space for which they
need to register, they must learn how to operate it,
and they must return to it frequently. This article
presents an approach that integrates IMS with today's
most popular digital spaces of participation, the
social networking sites, thus enabling citizens to
engage in IM processes using ordinary tools and without
having to step outside their daily habits. Our goal is
to reach out and pull into IM those large and
demographically diverse sectors of the society that are
already present and participating in social networking
sites. Through a real case study of IM in the public
sector that mixed both qualitative and quantitative
data collection methods, our proposal demonstrates a
promising approach to reduce the barriers of
participation. We conclude with an analysis of the
strengths and limitations of our proposal.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Ruiz-Correa:2019:MCC,
author = "Salvador Ruiz-Correa and Itzia Ruiz-Correa and Carlo
Olmos-Carrillo and Fatima Alba Rend{\'o}n-Huerta and
Beatriz Ramirez-Salazar and Laurent Son Nguyen and
Daniel Gatica-Perez",
title = "Mi Casa es su Casa? {Examining} {Airbnb} Hospitality
Exchange Practices in a Developing Economy",
journal = j-TSC,
volume = "2",
number = "1",
pages = "2:1--2:??",
month = feb,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3299817",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3299817",
abstract = "We present a study involving twenty in-depth,
semi-structured interviews, a street survey, and online
data to understand Airbnb hospitality exchange
practices in the context of a developing country. As
case studies, we investigate Airbnb practices of both
hosts and guests in two tourist venues in Mexico ---
the eighth most visited country worldwide. The analysis
of the data revealed that Airbnb practices in Mexico
have some similarities but also important differences
with those previously reported in the literature. We
found (1) that money is the main motivation for hosts
to participate in Airbnb and that the earned money
contributes significantly to the overall income of
hosts; (2) that traditions that permeate the Mexican
culture motivate hosts to engage in more personal
hospitality experiences; (3) that Airbnb host practices
lead to the creation of informal jobs that support the
local community; and (4) that Airbnb local guests
suggest that the lack of contextual information (i.e.,
the characteristics of the neighborhood where the
accommodation is located) is a problem when renting in
Mexico owing to safety issues.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Difallah:2019:DAF,
author = "Djellel Difallah and Alessandro Checco and Gianluca
Demartini and Philippe Cudr{\'e}-Mauroux",
title = "Deadline-Aware Fair Scheduling for Multi-Tenant
Crowd-Powered Systems",
journal = j-TSC,
volume = "2",
number = "1",
pages = "3:1--3:??",
month = feb,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3301003",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3301003",
abstract = "Crowdsourcing has become an integral part of many
systems and services that deliver high-quality results
for complex tasks such as data linkage, schema
matching, and content annotation. A standard function
of such crowd-powered systems is to publish a batch of
tasks on a crowdsourcing platform automatically and to
collect the results once the workers complete them.
Currently, these systems provide limited guarantees
over the execution time, which is problematic for many
applications. Timely completion may even be impossible
to guarantee due to factors specific to the
crowdsourcing platform, such as the availability of
workers and concurrent tasks. In our previous work, we
presented the architecture of a crowd-powered system
that reshapes the interaction mechanism with the crowd.
Specifically, we studied a push-crowdsourcing model
whereby the workers receive tasks instead of selecting
them from a portal. Based on this interaction model, we
employed scheduling techniques similar to those found
in distributed computing infrastructures to automate
the task assignment process. In this work, we first
devise a generic scheduling strategy that supports both
fairness and deadline-awareness. Second, to complement
the proof-of-concept experiments previously performed
with the crowd, we present an extensive set of
simulations meant to analyze the properties of the
proposed scheduling algorithms in an environment with
thousands of workers and tasks. Our experimental
results show that, by accounting for human factors,
micro-task scheduling can achieve fairness for
best-effort batches and boosts production batches.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Santos:2019:AAQ,
author = "Tiago Santos and Simon Walk and Roman Kern and Markus
Strohmaier and Denis Helic",
title = "Activity Archetypes in Question-and-Answer ({Q\&A})
{Websites} --- A Study of 50 {Stack Exchange}
Instances",
journal = j-TSC,
volume = "2",
number = "1",
pages = "4:1--4:??",
month = feb,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3301612",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3301612",
abstract = "Millions of users on the Internet discuss a variety of
topics on Question-and-Answer (Q\&A) instances.
However, not all instances and topics receive the same
amount of attention, as some thrive and achieve
self-sustaining levels of activity, while others fail
to attract users and either never grow beyond being a
small niche community or become inactive. Hence, it is
imperative to not only better understand but also to
distill deciding factors and rules that define and
govern sustainable Q\&A instances. We aim to empower
community managers with quantitative methods for them
to better understand, control, and foster their
communities, and thus contribute to making the Web a
more efficient place to exchange information. To that
end, we extract, model, and cluster a user
activity-based time series from 50 randomly selected
Q\&A instances from the Stack Exchange network to
characterize user behavior. We find four distinct types
of user activity temporal patterns, which vary
primarily according to the users' activity frequency.
Finally, by breaking down total activity in our 50 Q\&A
instances by the previously identified user activity
profiles, we classify those 50 Q\&A instances into
three different activity profiles. Our parsimonious
categorization of Q\&A instances aligns with the stage
of development and maturity of the underlying
communities, and can potentially help operators of such
instances: We not only quantitatively assess progress
of Q\&A instances, but we also derive practical
implications for optimizing Q\&A community building
efforts, as we, e.g., recommend which user types to
focus on at different developmental stages of a Q\&A
community.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Cho:2019:UBF,
author = "Jin-Hee Cho and Scott Rager and John O'Donovan and
Sibel Adali and Benjamin D. Horne",
title = "Uncertainty-based False Information Propagation in
Social Networks",
journal = j-TSC,
volume = "2",
number = "2",
pages = "5:1--5:??",
month = oct,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3311091",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3311091",
abstract = "Many network scientists have investigated the problem
of mitigating or removing false information propagated
in social networks. False information falls into two
broad categories: disinformation and misinformation.
Disinformation represents false information that is
knowingly shared and distributed with malicious intent.
Misinformation in contrast is false information shared
unwittingly, without any malicious intent. Many
existing methods to mitigate or remove false
information in networks concentrate on methods to find
a set of seeding nodes (or agents) based on their
network characteristics (e.g., centrality features) to
treat. The aim of these methods is to disseminate
correct information in the most efficient way. However,
little work has focused on the role of uncertainty as a
factor in the formulation of agents' opinions.
Uncertainty-aware agents can form different opinions
and eventual beliefs about true or false information
resulting in different patterns of information
diffusion in networks. In this work, we leverage an
opinion model, called Subjective Logic (SL), which
explicitly deals with a level of uncertainty in an
opinion where the opinion is defined as a combination
of belief, disbelief, and uncertainty, and the level of
uncertainty is easily interpreted as a person's
confidence in the given belief or disbelief. However,
SL considers the dimension of uncertainty only derived
from a lack of information (i.e., ignorance), not from
other causes, such as conflicting evidence. In the era
of Big Data, where we are flooded with information,
conflicting information can increase uncertainty (or
ambiguity) and have a greater effect on opinions than a
lack of information (or ignorance). To enhance the
capability of SL to deal with ambiguity as well as
ignorance, we propose an SL-based opinion model that
includes a level of uncertainty derived from both
causes. By developing a variant of the
Susceptible-Infected-Recovered epidemic model that can
change an agent's status based on the state of their
opinions, we capture the evolution of agents' opinions
over time. We present an analysis and discussion of
critical changes in network outcomes under varying
values of key design parameters, including the
frequency ratio of true or false information
propagation, centrality metrics used for selecting
seeding false informers and true informers, an opinion
decay factor, the degree of agents' prior belief, and
the percentage of true informers. We validated our
proposed opinion model using both the synthetic network
environments and realistic network environments
considering a real network topology, user behaviors,
and the quality of news articles. The proposed agent's
opinion model and corresponding strategies to deal with
false information can be applicable to combat the
spread of fake news in various social media platforms
(e.g., Facebook).",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Feyisetan:2019:BMI,
author = "Oluwaseyi Feyisetan and Elena Simperl",
title = "Beyond Monetary Incentives: Experiments in Paid
Microtask Contests",
journal = j-TSC,
volume = "2",
number = "2",
pages = "6:1--6:??",
month = oct,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3321700",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3321700",
abstract = "In this article, we aim to gain a better understanding
into how paid microtask crowdsourcing could leverage
its appeal and scaling power by using contests to boost
crowd performance and engagement. We introduce our
microtask-based annotation platform Wordsmith, which
features incentives such as points, leaderboards, and
badges on top of financial remuneration. Our analysis
focuses on a particular type of incentive, contests, as
a means to apply crowdsourcing in near-real-time
scenarios, in which requesters need labels quickly. We
model crowdsourcing contests as a continuous-time
Markov chain with the objective to maximise the output
of the crowd workers, while varying a parameter that
determines whether a worker is eligible for a reward
based on their present rank on the leaderboard. We
conduct empirical experiments in which crowd workers
recruited from CrowdFlower carry out annotation
microtasks on Wordsmith-in our case, to identify named
entities in a stream of Twitter posts. In the
experimental conditions, we test different reward
spreads and record the total number of annotations
received. We compare the results against a control
condition in which the same annotation task was
completed on CrowdFlower without a time or contest
constraint. The experiments show that rewarding only
the best contributors in a live contest could be a
viable model to deliver results faster, though quality
might suffer for particular types of annotation tasks.
Increasing the reward spread leads to more work being
completed, especially by the top contestants. Overall,
the experiments shed light on possible design
improvements of paid microtasks platforms to boost task
performance and speed and make the overall experience
more fair and interesting for crowd workers.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Wu:2019:DNP,
author = "Qunfang Wu and Yisi Sang and Yun Huang",
title = "Danmaku: A New Paradigm of Social Interaction via
Online Videos",
journal = j-TSC,
volume = "2",
number = "2",
pages = "7:1--7:??",
month = oct,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3329485",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3329485",
abstract = "Danmaku is a new commentary design for online videos.
Unlike traditional forums where comments are displayed
asynchronously below a video screen in order of when
the comments are posted, danmaku comments are overlaid
on the screen and displayed along with the video. This
new design creates a pseudo-synchronous effect by
displaying asynchronous comments with certain video
segments in a synchronous fashion, and the links
between danmaku comments and the video segments are
defined by users. Danmaku is gaining popularity;
however, little is known, compared to the traditional
forum design, regarding how effective the new danmaku
design is in promoting social interactions among online
users. In this work, we collected 38,399 danmaku
comments and 16,414 forum comments posted in 2017 on 30
popular videos on Bilibili.com. We compared user
participation from different perspectives, e.g., number
of comments, sentiment of the comments, language
patterns, and ways of knowledge sharing. Our results
showed that compared to the traditional linear design,
the danmaku design significantly promoted user
participation, i.e., there were more users and more
comments in danmaku. Additionally, active users posted
more positive comments, though they were anonymous;
more linguistic memes were used in danmaku, suggesting
that it was used to facilitate community-building. In
addition to its effectiveness in promoting social
interactions, our results also show that danmaku and
forum designs play complementary roles in knowledge
sharing, where danmaku comments involved more explicit
(know-what) knowledge sharing, and forum comments
exhibited more tacit (know-how) knowledge sharing. Our
findings contribute to the development of social
presence theory and have design implications for better
social interaction via online videos.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Posch:2019:MMC,
author = "Lisa Posch and Arnim Bleier and Clemens M. Lechner and
Daniel Danner and Fabian Fl{\"o}ck and Markus
Strohmaier",
title = "Measuring Motivations of Crowdworkers: The
Multidimensional Crowdworker Motivation Scale",
journal = j-TSC,
volume = "2",
number = "2",
pages = "8:1--8:??",
month = oct,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3335081",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:52 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3335081",
abstract = "Crowd employment is a new form of short-term and
flexible employment that has emerged during the past
decade. To understand this new form of employment, it
is crucial to illuminate the underlying motivations of
the workforce involved in it. This article introduces
the Multidimensional Crowdworker Motivation Scale
(MCMS), a scale for measuring the motivation of
crowdworkers on microtask platforms. The MCMS is
theoretically grounded in self-determination theory and
tailored specifically to the context of paid
crowdsourced microlabor. The scale measures the
motivation of crowdworkers along six motivational
dimensions, ranging from amotivation to intrinsic
motivation. We validated the MCMS on data collected in
ten countries and three income groups. Factor analyses
demonstrated that the MCMS's six dimensions showed good
model fit, validity, and reliability. Furthermore, our
measurement invariance tests showed that motivations
measured with the MCMS are comparable across countries
and income groups, and we present a first cross-country
comparison of crowdworker motivations. This work
constitutes an important first step toward
understanding the motivations of the international
crowd workforce.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Mourad:2019:PGE,
author = "Ahmed Mourad and Falk Scholer and Walid Magdy and Mark
Sanderson",
title = "A Practical Guide for the Effective Evaluation of
{Twitter} User Geolocation",
journal = j-TSC,
volume = "2",
number = "3",
pages = "9:1--9:23",
month = dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3352572",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3352572",
abstract = "Geolocating Twitter users-the task of identifying
their home locations-serves a wide range of community
and business applications such as managing natural
crises, journalism, and public health. Many approaches
have been proposed for automatically \ldots{}",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Tausczik:2019:IGS,
author = "Yla Tausczik and Xiaoyun Huang",
title = "The Impact of Group Size on the Discovery of Hidden
Profiles in Online Discussion Groups",
journal = j-TSC,
volume = "2",
number = "3",
pages = "10:1--10:??",
month = nov,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3359758",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:53 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3359758",
abstract = "Online discussions help individuals to gather
knowledge and make important decisions in diverse areas
from health and finance to computing and data science.
Online discussion groups exhibit unique group dynamics
not found in traditional small groups, such as
staggered participation and asynchronous communication,
and the effects of these features on knowledge sharing
is not well understood. In this article, we focus on
one such aspect: wide variation in group size. Using a
controlled experiment with a hidden profile task, we
evaluate online discussion groups' capacity to share
distributed knowledge when group size ranges from 4 to
32 participants. We found that individuals in
medium-sized discussions performed the best, and we
suggest that this represents a tradeoff in which larger
groups tend to share more facts, but have more
difficulty than smaller groups at resolving
misunderstandings.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Wright:2019:HMH,
author = "Darryl E. Wright and Lucy Fortson and Chris Lintott
and Michael Laraia and Mike Walmsley",
title = "Help Me to Help You: Machine Augmented Citizen
Science",
journal = j-TSC,
volume = "2",
number = "3",
pages = "11:1--11:??",
month = nov,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3362741",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
bibdate = "Fri Dec 6 16:55:53 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/citation.cfm?id=3362741",
abstract = "The increasing size of datasets with which researchers
in a variety of domains are confronted has led to a
range of creative responses, including the deployment
of modern machine learning techniques and the advent of
large scale ``citizen science projects.'' However, the
ability of the latter to provide suitably large
training sets for the former is stretched as the size
of the problem (and competition for attention amongst
projects) grows. We explore the application of
unsupervised learning to leverage structure that exists
in an initially unlabelled dataset. We simulate
grouping similar points before presenting those groups
to volunteers to label. Citizen science labelling of
grouped data is more efficient, and the gathered labels
can be used to improve efficiency further for labelling
future data. To demonstrate these ideas, we perform
experiments using data from the Pan-STARRS Survey for
Transients (PSST) with volunteer labels gathered by the
Zooniverse project, Supernova Hunters and a simulated
project using the MNIST handwritten digit dataset. Our
results show that, in the best case, we might expect to
reduce the required volunteer effort by 87.0\% and
92.8\% for the two datasets, respectively. These
results illustrate a symbiotic relationship between
machine learning and citizen scientists where each
empowers the other with important implications for the
design of citizen science projects in the future.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "http://dl.acm.org/pub.cfm?id=J1546",
}
@Article{Kotsios:2019:ACG,
author = "Andreas Kotsios and Matteo Magnani and Davide Vega and
Luca Rossi and Irina Shklovski",
title = "An Analysis of the Consequences of the {General Data
Protection Regulation} on Social Network Research",
journal = j-TSC,
volume = "2",
number = "3",
pages = "12:1--12:22",
month = dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3365524",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3365524",
abstract = "This article examines the principles outlined in the
General Data Protection Regulation in the context of
social network data. We provide both a practical guide
to General Data Protection Regulation--compliant social
network data processing, covering \ldots{}",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Deng:2020:ISI,
author = "Xuefei (Nancy) Deng and Yoram M. Kalman",
title = "Introduction to the Special Issue on {HICSS 2019}",
journal = j-TSC,
volume = "2",
number = "4",
pages = "13:1--13:2",
month = jan,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3370666",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3370666",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Forkan:2020:ITS,
author = "Abdur Rahim Mohammad Forkan and Philip Branch and Prem
Prakash Jayaraman and Andre Ferretto",
title = "An {Internet-of-Things} Solution to Assist Independent
Living and Social Connectedness in Elderly",
journal = j-TSC,
volume = "2",
number = "4",
pages = "14:1--14:24",
month = jan,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3363563",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3363563",
abstract = "Social isolation has been identified as a major risk
in elderly people living alone because of their
association with cognitive decline, depression, and
other mental health-related issues. Ambient Assisted
Living (AAL) is identified as a key technology
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Cifor:2020:GDD,
author = "Marika Cifor and Patricia Garcia",
title = "Gendered by Design: a Duoethnographic Study of
Personal Fitness Tracking Systems",
journal = j-TSC,
volume = "2",
number = "4",
pages = "15:1--15:22",
month = jan,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3364685",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3364685",
abstract = "Using fitness trackers to generate and collect
quantifiable data is a widespread practice aimed at
better understanding one's health and body. The
intentional design of fitness trackers as genderless or
universal is predicated on masculinist design
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Baucum:2020:TGG,
author = "Matthew Baucum and Jinshu Cui and Richard S. John",
title = "Temporal and Geospatial Gradients of Fear and Anger in
Social Media Responses to Terrorism",
journal = j-TSC,
volume = "2",
number = "4",
pages = "16:1--16:16",
month = jan,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3363565",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3363565",
abstract = "Research suggests that public fear and anger in wake
of a terror attack can each uniquely contribute to
policy attitudes and risk-avoidance behaviors. Given
the importance of these negative-valanced emotions,
there is value in studying how terror events \ldots{}",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Fleischmann:2020:LPM,
author = "A. Carolin Fleischmann and Jolanta Aritz and Peter
Cardon",
title = "Language Proficiency and Media Richness in Global
Virtual Teams: Impacts on Satisfaction, Inclusion, and
Task Accomplishment",
journal = j-TSC,
volume = "2",
number = "4",
pages = "17:1--17:18",
month = jan,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3363564",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:51 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3363564",
abstract = "Virtual teams that use integrated communication
platforms are ubiquitous in cross-border collaboration.
This study explores the use of communication media and
team outcomes-both social outcomes and task
accomplishment-in multilingual virtual teams.
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Luther:2020:ISI,
author = "Kurt Luther and Andrea Kavanaugh and Jacob
Thebault-Spieker and Judd Antin",
title = "Introduction to the Special Issue on Negotiating Truth
and Trust in Socio-Technical Systems",
journal = j-TSC,
volume = "3",
number = "1",
pages = "1:1--1:1",
month = feb,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3378677",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:52 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3378677",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Gach:2020:ETP,
author = "Katie Z. Gach and Jed R. Brubaker",
title = "Experiences of Trust in Postmortem Profile
Management",
journal = j-TSC,
volume = "3",
number = "1",
pages = "2:1--2:26",
month = feb,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3365525",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:52 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3365525",
abstract = "In the landscape of online social networking sites,
many platforms are reaching a scale and longevity that
require designers to address the postmortem data
interactions that follow people's deaths. To evaluate
the experiences and challenges people face \ldots{}",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Jones:2020:MMA,
author = "Helen S. Jones and Wendy Moncur",
title = "A Mixed-Methods Approach to Understanding Funder Trust
and Due Diligence Processes in Online Crowdfunding
Investment",
journal = j-TSC,
volume = "3",
number = "1",
pages = "3:1--3:29",
month = feb,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3373148",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:52 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3373148",
abstract = "We report on two studies undertaken to establish the
factors that affect funders' trust and likelihood to
invest in crowdfunding campaigns online. Findings from
an initial small-scale qualitative study are reported
and subsequently triangulated in a \ldots{}",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Porter:2020:VNC,
author = "Emily Porter and P. M. Krafft and Brian Keegan",
title = "Visual Narratives and Collective Memory across
Peer-Produced Accounts of Contested Sociopolitical
Events",
journal = j-TSC,
volume = "3",
number = "1",
pages = "4:1--4:20",
month = feb,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3373147",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:52 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3373147",
abstract = "Studying cultural variation in recollections of
sociopolitical events is crucial for achieving diverse
understandings of such events. To date, most studies in
this area have focused on analyzing variation in texts
describing events. Here, we analyze \ldots{}",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Arazy:2020:ERP,
author = "Ofer Arazy and Aron Lindberg and Shakked Lev and
Kexian Wu and Alex Yarovoy",
title = "Emergent Routines in Peer-Production: Examining the
Temporal Evolution of {Wikipedia}'s Work Sequences",
journal = j-TSC,
volume = "3",
number = "1",
pages = "5:1--5:24",
month = feb,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3366711",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Tue Apr 7 07:39:52 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3366711",
abstract = "Current theories struggle to explain how participants
in peer-production self-organize to produce
high-quality knowledge in the absence of formal
coordination mechanisms. The literature traditionally
holds that norms, policies, and roles make \ldots{}",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Kobs:2020:ECO,
author = "Konstantin Kobs and Albin Zehe and Armin Bernstetter
and Julian Chibane and Jan Pfister and Julian Tritscher
and Andreas Hotho",
title = "Emote-Controlled: Obtaining Implicit Viewer Feedback
Through Emote-Based Sentiment Analysis on Comments of
Popular {Twitch.tv} Channels",
journal = j-TSC,
volume = "3",
number = "2",
pages = "7:1--7:34",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3365523",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Mon Apr 20 09:08:34 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3365523",
abstract = "In recent years, streaming platforms for video games
have seen increasingly large interest, as so-called
esports have developed into a lucrative branch of
business. Like for other sports, watching esports has
become a new kind of entertainment medium, \ldots{}",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Feng:2020:NER,
author = "Yunhe Feng and Zheng Lu and Wenjun Zhou and Zhibo Wang
and Qing Cao",
title = "New Emoji Requests from {Twitter} Users: When, Where,
Why, and What We Can Do About Them",
journal = j-TSC,
volume = "3",
number = "2",
pages = "8:1--8:25",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3370750",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Mon Apr 20 09:08:34 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3370750",
abstract = "As emojis become prevalent in personal communications,
people are always looking for new, interesting emojis
to express emotions, show attitudes, or simply
visualize texts. In this study, we collected more than
30 million tweets mentioning the word \ldots{}",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Kim:2020:NMO,
author = "Joongyum Kim and Taesik Gong and Bogoan Kim and
Jaeyeon Park and Woojeong Kim and Evey Huang and
Kyungsik Han and Juho Kim and Jeonggil Ko and Sung-Ju
Lee",
title = "No More One Liners: Bringing Context into Emoji
Recommendations",
journal = j-TSC,
volume = "3",
number = "2",
pages = "9:1--9:25",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3373146",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Mon Apr 20 09:08:34 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3373146",
abstract = "As emojis are increasingly used in everyday online
communication such as messaging, email, and social
networks, various techniques have attempted to improve
the user experience in communicating emotions and
information through emojis. Emoji \ldots{}",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Robertson:2020:EST,
author = "Alexander Robertson and Walid Magdy and Sharon
Goldwater",
title = "Emoji Skin Tone Modifiers: Analyzing Variation in
Usage on Social Media",
journal = j-TSC,
volume = "3",
number = "2",
pages = "11:1--11:25",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3377479",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Mon Apr 20 09:08:34 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3377479",
abstract = "Emoji are widely used in computer-mediated
communication to express concepts and emotions. Skin
tone modifiers were added in 2015 with the hope of
better representing user diversity, and, indeed, recent
work has shown that these modifiers are especially
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Alismail:2020:EUP,
author = "Sarah Alismail and Hengwei Zhang",
title = "Exploring and Understanding Participants' Perceptions
of Facial Emoji {Likert} Scales in Online Surveys: a
Qualitative Study",
journal = j-TSC,
volume = "3",
number = "2",
pages = "12:1--12:12",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3382505",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Mon Apr 20 09:08:34 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3382505",
abstract = "The present study aims to explore participants'
experiences in interacting with a facial emoji Likert
scale in online surveys to understand their
perceptions, interpretations, and opinions of emojis in
online surveys. A qualitative research approach has
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Marin:2020:MTC,
author = "Ericsson Marin and Ruocheng Guo and Paulo Shakarian",
title = "Measuring Time-Constrained Influence to Predict
Adoption in Online Social Networks",
journal = j-TSC,
volume = "3",
number = "3",
pages = "13:1--13:26",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3372785",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:27:49 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3372785",
abstract = "Recently, there has been strong interest in measuring
influence in online social networks. Different measures
have been proposed to predict when individuals will
adopt a new behavior, given the influence produced by
their friends. In this article, we \ldots{}",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Wood:2020:CTU,
author = "Ian D. Wood and John Glover and Paul Buitelaar",
title = "Community Topic Usage in Online Social Media",
journal = j-TSC,
volume = "3",
number = "3",
pages = "14:1--14:21",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3377870",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:27:49 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3377870",
abstract = "Humans have a natural tendency to form social groups,
and individual behaviours are thought to be strongly
influenced by a salient sense of belonging to one or
more such groups. It can be expected, therefore, that
there will be behaviours that are \ldots{}",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Al-Ramahi:2020:MUG,
author = "Mohammad Al-Ramahi and Cherie Noteboom",
title = "Mining User-generated Content of Mobile Patient
Portal: Dimensions of User Experience",
journal = j-TSC,
volume = "3",
number = "3",
pages = "15:1--15:24",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3394831",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:27:49 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3394831",
abstract = "Patient portals are positioned as a central component
of patient engagement through the potential to change
the physician-patient relationship and enable chronic
disease self-management. The incorporation of patient
portals provides the promise to \ldots{}",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Lyu:2020:FFO,
author = "Tianshu Lyu and Lidong Bing and Zhao Zhang and Yan
Zhang",
title = "{FOX}: Fast Overlapping Community Detection Algorithm
in Big Weighted Networks",
journal = j-TSC,
volume = "3",
number = "3",
pages = "16:1--16:23",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3404970",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:27:49 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3404970",
abstract = "Community detection is a hot topic for researchers in
the fields of graph theory, social networks, and
biological networks. Generally speaking, a community
refers to a group of densely linked nodes in the
network. Nodes usually have more than one \ldots{}",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Talukder:2020:SFA,
author = "Sajedul Talukder and Bogdan Carbunar",
title = "A Study of Friend Abuse Perception in {Facebook}",
journal = j-TSC,
volume = "3",
number = "4",
pages = "17:1--17:34",
month = oct,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3408040",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:32:14 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3408040",
abstract = "Social networks like Facebook provide functionality
that can expose users to abuse perpetrated by their
contacts. For instance, Facebook users can often access
sensitive profile information and timeline posts of
their friends and also post abuse on the \ldots{}",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Franzmann:2020:HMA,
author = "Daniel Franzmann and Arvid Eichner and Roland
Holten",
title = "How Mobile App Design Overhauls Can Be Disastrous in
Terms of User Perception: The Case of Snapchat",
journal = j-TSC,
volume = "3",
number = "4",
pages = "18:1--18:21",
month = oct,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3409585",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:32:14 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3409585",
abstract = "Smartphone apps are regularly updated and enhanced.
However, design overhauls-that change the whole look of
an app-are not expected to impact a user's behavior
and, more specifically, continuance intentions. We
reevaluate this claim based on the \ldots{}",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{SantosDeOliveira:2020:DPT,
author = "Lucas {Santos De Oliveira} and Pedro O. S. Vaz-de-Melo
and Marcelo S. Amaral and Jos{\'e} Ant{\^o}nio G. Pinho",
title = "Do Politicians Talk about Politics? {Assessing} Online
Communication Patterns of {Brazilian} Politicians",
journal = j-TSC,
volume = "3",
number = "4",
pages = "19:1--19:28",
month = oct,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3412326",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:32:14 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3412326",
abstract = "Politicians need to decide how to communicate with
their voters to build their reputations. This problem
is especially complicated during important political
events such as the elections when politicians must
decide whether to confront and share their \ldots{}",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Wisniewski:2020:HFU,
author = "Pamela Wisniewski and Karla Badillo-Urquiola and Zahra
Ashtorab and Jessica Vitak",
title = "Happiness and Fear: Using Emotions as a Lens to
Disentangle How Users Felt About the Launch of
{Facebook} Reactions",
journal = j-TSC,
volume = "3",
number = "4",
pages = "20:1--20:25",
month = oct,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3414825",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:32:14 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3414825",
abstract = "In February 2016, Facebook launched Reactions, an
interactive feature expanding the Like button to
include five additional emotional responses: Love,
Sadness, Anger, Wow, and Haha. In this article, we
examine users' feedback about this new feature and
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Yarovoy:2020:ACS,
author = "Alex Yarovoy and Yiftach Nagar and Einat Minkov and
Ofer Arazy",
title = "Assessing the Contribution of Subject-matter Experts
to {Wikipedia}",
journal = j-TSC,
volume = "3",
number = "4",
pages = "21:1--21:36",
month = oct,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3416853",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Sat Mar 27 09:32:14 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3416853",
abstract = "Attempts to explain the success of knowledge
co-production communities have focused on
organizational design, including structure, motivation,
roles, and coordination mechanisms. Meantime, the role
that subject-matter-experts play in these knowledge
production settings has largely been left in a
theoretical and empirical void; its existence has been
assumed, but we know little about its nature and scope,
as it is difficult to observe. In this article, we
start filling that void, using Wikipedia as the setting
for our empirical investigation. First, we carefully
crossed information from individual Wikipedia editor
pages with external sources such as Google Scholar to
reliably identify editors who are credentialed experts.
Matching these credentialed experts with their
Wikipedia editing patterns, we used this dataset to
train a machine learning classifier that we then
employed to identify additional expert editors and
assess the nature and the scope of their work across
Wikipedia. Our results suggest that the scope of expert
involvement is substantial, albeit with considerable
differences across topics. We estimate that
approximately 10\%--30\% of Wikipedia s contributors
have substantial subject-matter expertise in the topics
that they edit. We discuss implications for theory and
practice of peer-production.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Chamberlain:2021:NAT,
author = "Joshua M. Chamberlain and Francesca Spezzano and
Jaclyn J. Kettler and Bogdan Dit",
title = "A Network Analysis of {Twitter} Interactions by
Members of the {U.S. Congress}",
journal = j-TSC,
volume = "4",
number = "1",
pages = "1:1--1:22",
month = apr,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3439827",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:46 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3439827",
abstract = "Usage of Twitter by politicians has become more
prevalent in recent years, with a goal of influencing
the electorate and public perception. We collect,
explore, and analyze over 12 years of public Twitter
interactions of U.S. senators and \ldots{}",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Khasawneh:2021:IPS,
author = "Amro Khasawneh and Kapil Chalil Madathil and Heidi
Zinzow and Pamela Wisniewski and Amal Ponathil and
Hunter Rogers and Sruthy Agnisarman and Rebecca Roth
and Meera Narasimhan",
title = "An Investigation of the Portrayal of Social Media
Challenges on {YouTube} and {Twitter}",
journal = j-TSC,
volume = "4",
number = "1",
pages = "2:1--2:23",
month = apr,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3444961",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:46 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3444961",
abstract = "A social media phenomenon that has received limited
research attention is the advent and propagation of
viral online challenges. Several of these challenges
entail self-harming behavior, which, combined with
their viral nature, poses physical and \ldots{}",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Mirbabaie:2021:DCA,
author = "Milad Mirbabaie and Felix Br{\"u}nker and Magdalena
Wischnewski and Judith Meinert",
title = "The Development of Connective Action during Social
Movements on Social Media",
journal = j-TSC,
volume = "4",
number = "1",
pages = "3:1--3:21",
month = apr,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3446981",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:46 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3446981",
abstract = "In recent years, the development of information
communication technologies, such as social media, has
changed the way people communicate and engage in social
movements. While conventional movements were fought in
the streets, social media has enabled \ldots{}",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Holopainen:2021:SVR,
author = "Jani Holopainen and Osmo Mattila and Petri Parvinen
and Essi P{\"o}yry and Tuure Tuunanen",
title = "Sociability in Virtual Reality: Evaluations of Three
Iterative Application Versions along a Design Science
Research Process",
journal = j-TSC,
volume = "4",
number = "1",
pages = "4:1--4:21",
month = apr,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3450269",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:46 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3450269",
abstract = "This study investigates sociability in the context of
immersive Virtual Reality (VR). A Design Science
Research process was applied, and three iterative
development versions of a VR application were studied.
Sociability around the technology was \ldots{}",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Purao:2021:DBS,
author = "Sandeep Purao and David M. Murungi and David Yates",
title = "Deliberative Breakdowns in the Social Representation
Process: Evidence from Reader Comments in Partisan News
Sites",
journal = j-TSC,
volume = "4",
number = "2",
pages = "5:1--5:35",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3450143",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:47 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3450143",
abstract = "This article examines breakdowns that occur when
readers at partisan news websites attempt to understand
a challenging news event. We conduct the work with the
2017 Alabama senate race as the empirical context
marked by the nomination of Republican Roy \ldots{}",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Jarvela:2021:AVR,
author = "Simo J{\"a}rvel{\"a} and Benjamin Cowley and Mikko
Salminen and Giulio Jacucci and Juho Hamari and Niklas
Ravaja",
title = "Augmented Virtual Reality Meditation: Shared Dyadic
Biofeedback Increases Social Presence Via Respiratory
Synchrony",
journal = j-TSC,
volume = "4",
number = "2",
pages = "6:1--6:19",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3449358",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:47 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3449358",
abstract = "In a novel experimental setting, we augmented a
variation of traditional compassion meditation with our
custom-built VR environment for multiple concurrent
users. The presence of another user's avatar in shared
virtual space supports social interactions \ldots{}",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Mcdonald:2021:ABS,
author = "David W. Mcdonald and Mark Zachry",
title = "On the Alignment Between Self-Declared Gender Identity
and Topical Content from {Wikipedia}",
journal = j-TSC,
volume = "4",
number = "2",
pages = "7:1--7:69",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3450753",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:47 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3450753",
abstract = "Wikipedia is an important information source for much
of the world. One well-established problem is that
editors of Wikipedia are overwhelmingly men. This
gender gap in participation has resulted in a concern
that the content suffers biases as a result \ldots{}",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Greitzer:2021:EIT,
author = "Frank L. Greitzer and Wanru Li and Kathryn B. Laskey
and James Lee and Justin Purl",
title = "Experimental Investigation of Technical and Human
Factors Related to Phishing Susceptibility",
journal = j-TSC,
volume = "4",
number = "2",
pages = "8:1--8:48",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3461672",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:47 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3461672",
abstract = "This article reports on a simulated phishing
experiment targeting 6,938 faculty and staff at George
Mason University. The three-week phishing campaign
employed three types of phishing exploits and examined
demographic, linked workstation/network \ldots{}",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Zhou:2021:BPT,
author = "Michelle X. Zhou and Huahai Yang and Gloria Mark and
Mengdie Hu and Jalal Mahumd and Aditya Pal",
title = "Building Personalized Trust: Discovering What Makes
One Trust and Act on {Facebook} Posts",
journal = j-TSC,
volume = "4",
number = "3",
pages = "9:1--9:28",
month = sep,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3468977",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:48 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3468977",
abstract = "What makes one trust or distrust a post on Facebook?
What makes one willing to take an action on the post,
such as sharing it with friends, following its advice,
or even making a donation for its cause? We hypothesize
that personal factors in addition to \ldots{}",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Papangelis:2021:LIT,
author = "Konstantinos Papangelis and Ioanna Lykourentzou and
Vassilis-Javed Khan and Alan Chamberlain and Ting Cao
and Michael Saker and Nicolas Lalone",
title = "Locating Identities in Time: an Examination of the
Formation and Impact of Temporality on Presentations of
the Self through Location-Based Social Networks",
journal = j-TSC,
volume = "4",
number = "3",
pages = "10:1--10:23",
month = sep,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3473043",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:48 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3473043",
abstract = "Studies of identity and location-based social networks
(LBSN) have tended to focus on the performative aspects
associated with marking one's location. Yet these
studies often present this practice as being an a
priori aspect of locative media. What is \ldots{}",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Balayn:2021:AIH,
author = "Agathe Balayn and Jie Yang and Zoltan Szlavik and
Alessandro Bozzon",
title = "Automatic Identification of Harmful, Aggressive,
Abusive, and Offensive Language on the {Web}: a Survey
of Technical Biases Informed by Psychology Literature",
journal = j-TSC,
volume = "4",
number = "3",
pages = "11:1--11:56",
month = sep,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3479158",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:48 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3479158",
abstract = "The automatic detection of conflictual languages
(harmful, aggressive, abusive, and offensive languages)
is essential to provide a healthy conversation
environment on the Web. To design and develop detection
systems that are capable of achieving \ldots{}",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Alvarez:2021:CCE,
author = "Katrina Paola B. Alvarez and Vivian Hsueh Hua Chen",
title = "Community and Capital: Experiences of Women Game
Streamers in {Southeast Asia}",
journal = j-TSC,
volume = "4",
number = "3",
pages = "12:1--12:22",
month = sep,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3481888",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Wed Mar 2 06:25:48 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3481888",
abstract = "This study explores how women game live streamers in
Southeast Asia make sense of their experiences as
performers and gamers on streaming platforms dominated
by Western products and performers. We conducted 13
in-depth interviews guided by an interpretive
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Emes:2022:COM,
author = "Claire Stravato Emes and Arul Chib",
title = "Co-opted Marginality in a Controlled Media
Environment: The Influence of Social Media Affordances
on the Immigration Discourse",
journal = j-TSC,
volume = "5",
number = "1--4",
pages = "1:1--1:??",
month = dec,
year = "2022",
DOI = "https://doi.org/10.1145/3532103",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Fri Aug 25 12:37:49 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3532103",
abstract = "An emerging narrative on social media challenges the
premise that the repertoire against immigrants is
caused by xenophobia. We identify and propose the
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "1",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Mejova:2022:MPA,
author = "Yelena Mejova and Jisun An and Gianmarco {De Francisci
Morales} and Haewoon Kwak",
title = "Modeling Political Activism around Gun Debate via
Social Media",
journal = j-TSC,
volume = "5",
number = "1--4",
pages = "2:1--2:??",
month = dec,
year = "2022",
DOI = "https://doi.org/10.1145/3532102",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Fri Aug 25 12:37:49 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3532102",
abstract = "The United States have some of the highest rates of
gun violence among developed countries. Yet, there is a
disagreement about the extent to which firearms
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "2",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Abraham:2022:ABC,
author = "Jaclyn Abraham and Rebecca Roth and Heidi Zinzow and
Kapil Chalil Madathil and Pamela Wisniewski",
title = "Applying Behavioral Contagion Theory to Examining
Young Adults' Participation in Viral Social Media
Challenges",
journal = j-TSC,
volume = "5",
number = "1--4",
pages = "3:1--3:??",
month = dec,
year = "2022",
DOI = "https://doi.org/10.1145/3538383",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Fri Aug 25 12:37:49 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3538383",
abstract = "Viral social media challenges have erupted across
multiple social media platforms. While social media
users participate in prosocial challenges designed to
support \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "3",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Zheng:2022:UPW,
author = "Keyang Zheng and Ben Stein and Rosta Farzan",
title = "Use Ping Wisely: a Study of Team Communication and
Performance under Lean Affordance",
journal = j-TSC,
volume = "5",
number = "1--4",
pages = "4:1--4:??",
month = dec,
year = "2022",
DOI = "https://doi.org/10.1145/3557022",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Fri Aug 25 12:37:49 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3557022",
abstract = "Improving virtual team collaboration has been a
centerpiece of many computer mediated communication
research efforts. Team collaboration presents
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "4",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{DeSanto:2023:HEO,
author = "Alessio {De Santo} and Arielle Moro and Bruno Kocher
and Adrian Holzer",
title = "Helping Each Other Quit Online: Understanding User
Engagement and Real-life Outcomes of the
{r/StopSmoking} Digital Smoking Cessation Community",
journal = j-TSC,
volume = "6",
number = "1--2",
pages = "1:1--1:??",
month = jun,
year = "2023",
DOI = "https://doi.org/10.1145/3564745",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Fri Aug 25 12:37:49 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3564745",
abstract = "Despite decades of prevention, tobacco addiction is
still a widespread health concern responsible for
around 8 million deaths per year. Existing digital
smoking \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "1",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Zhou:2023:STL,
author = "Kaitlyn Zhou and Tom Wilson and Kate Starbird and Emma
S. Spiro",
title = "Spotlight Tweets: a Lens for Exploring Attention
Dynamics within Online Sensemaking During Crisis
Events",
journal = j-TSC,
volume = "6",
number = "1--2",
pages = "2:1--2:??",
month = jun,
year = "2023",
DOI = "https://doi.org/10.1145/3577213",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Fri Aug 25 12:37:49 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3577213",
abstract = "In this article, we introduce the concept of a
spotlight social media post -a post that receives an
unexpected burst of attention-and explore how such
posts reveal \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "2",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Kordyaka:2023:ERB,
author = "Bastian Kordyaka and Solip Park and Jeanine Krath and
Samuli Laato",
title = "Exploring the Relationship Between Offline Cultural
Environments and Toxic Behavior Tendencies in
Multiplayer Online Games",
journal = j-TSC,
volume = "6",
number = "1--2",
pages = "3:1--3:??",
month = jun,
year = "2023",
DOI = "https://doi.org/10.1145/3580346",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Fri Aug 25 12:37:49 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3580346",
abstract = "In multiplayer online games, players from different
cultural backgrounds come together to cooperate and
compete in real time. Although these games are
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "3",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
@Article{Muralikumar:2023:HCE,
author = "Meena Devii Muralikumar and Yun Shan Yang and David W.
McDonald",
title = "A Human-centered Evaluation of a Toxicity Detection
{API}: Testing Transferability and Unpacking Latent
Attributes",
journal = j-TSC,
volume = "6",
number = "1--2",
pages = "4:1--4:??",
month = jun,
year = "2023",
DOI = "https://doi.org/10.1145/3582568",
ISSN = "2469-7818 (print), 2469-7826 (electronic)",
ISSN-L = "2469-7818",
bibdate = "Fri Aug 25 12:37:49 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib",
URL = "https://dl.acm.org/doi/10.1145/3582568",
abstract = "Perspective is a publicly available, machine learning
API that can score text for toxicity. It is available
for use in online platforms and communities to limit
toxicity and \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "4",
fjournal = "ACM Transactions on Social Computing (TSC)",
journal-URL = "https://dl.acm.org/loi/tsc",
}
