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Journal of Management Information Systems
Special Section on Fake News on the Internet
Due Date: April 30, 2020
The online generation and dissemination of false information
(e.g., through Facebook, Twitter, Snapchat and other Internet
media), commonly referred to as "fake news", has garnered immense
public attention following the 2016 Brexit referendum, the 2016
and 2018 US elections, the 2019 Indian lynchings, and the 2019
rise in polio cases in Pakistan. Fake news undermines public life
across the globe, especially in countries where journalistic
practices and institutions are weak [3]. Some fake news is created
to spread ideological messages or to create mischief whereas other
fake news is created for profit, such as the Macedonian teenagers
who created fake news sites to drive advertising [21].
Research shows that fake news spreads "significantly farther,
faster, deeper, and more broadly" than true news [23:1146] and has
had major societal impacts [14]. All signs indicate that it will
get worse as political activists, scammers, alternative news
media, and hostile governments become more sophisticated in their
production and targeting of fake news.
Fake news and other types of false information are also a matter
of concern for business and management research and practice
[2,8,18]. Businesses have engaged in deceptive communications such
as greenwashing, astroturfing, false advertising and other types
of false messages [4,13], but false content presented as news
presents a novel range of issues for individuals, organizations,
and societies [1,17].
The widespread adoption and use of information and communication
technologies, particularly social and digital media, play a key
role in the current wave of fake news and false information
sweeping the globe [1,6,12]. We believe that the IS discipline can
contribute significantly to the discourse, as it already has in
related areas such as cyberdeviance [22] and deception [e.g., 5].
Our field can draw on its intellectual core of theories and
empirical findings on the design, use, and impacts of IT artifacts
at different levels of analysis. A nascent body of IS research on
this topic is emerging [7,15,16,17,19]. Related areas such as
review manipulation [e.g., 10] and social behaviors in online
social networks [e.g., 9,11,20] can provide valuable lessons to
apply to online fake news and false information more generally.
Yet there is a dearth of evidence about many aspects, and many
issues remain open to debate.
This Special Section seeks to expand this emerging work and
mobilize a full-fledged research agenda on fake news within the IS
discipline. We call for papers addressing interesting IS questions
around the fake news phenomenon on the Internet. We seek a wide
range of research in content, theory, perspectives, methods, and
stakeholders affected. We encourage pure IS research as well as
inter-disciplinary research with partners from journalism,
communication, sociology, political science, and other
disciplines.
Example fake news (FN) topics for the special issue include, but
are not limited to:
* Different sources, domains, and purposes of FN
* Impacts of FN on users, groups, companies, and/or societies
* User attitudes and behaviors about FN, and the effectiveness of
user interventions (e.g. education, nudges)
* Trust, authenticity, authority, and truth on social media and
the Internet in general
* Social media companies' attitudes and behavior around the
consumption and/or sharing of FN
* Effects of platform governance, management, and technical
affordances on the spread and consumption of FN
* Technical, behavioral, economic, regulatory/policy solutions to
reduce the consumption and/or sharing of FN
* Design of algorithms, social bots, curation systems,
recommendation systems and their effects on the spread of FN,
whether to promote or inhibit FN.
* Crowdsourcing innovations to counter FN
* Contribution of online communities in the incubation, spread,
and/or detection of FN
* Business models, innovations and opportunities in news and media
businesses to counter FN
* National, cultural, and institutional differences in the nature
and dynamics of FN
* Organized disinformation operations on social media: sources,
dynamics, effectiveness, and responses
* Social media manipulation and algorithmic "gaming" to encourage
the spread of FN
* New theories around FN.
We welcome research using a variety of methodologies, and at any
level of analysis, such as:
* High quality qualitative (e.g., interview, observation) or
quantitative (e.g., experimental, survey) research of all kinds
* Archival and observational research using data drawn from the
Internet
* Mixed methods research (e.g., surveys complemented with digital
trace data)
* Research proposing and evaluating innovative artifacts (i.e.,
design science research)
* Comprehensive theory development papers.
Timeline
Authors are welcome to email an abstract or extended abstract to
the Guest Editors prior to submission if they have questions about
their paper's fit with the special section. Official submissions
should be emailed to:
ardennis@iu.edu<mailto:ardennis@iu.edu>
Due: April 30, 2020
Notification: July 15, 2020
1st Resubmission: October 15, 2021
Notification: January 15, 2021
2nd Resubmission: April 15, 2021
Final Decisions: June 15, 2021
Guest Editors
Alan Dennis, Indiana University, USA,
ardennis@iu.edu
Alan has conducted several lab experiments and surveys on the
consumption and sharing of fake news. He has written more than
hundred research articles, and served as Senior Editor for MIS
Quarterly. His other research interests include virtual teams
(including virtual reality), NeuroIS, and designing IT to
influence subconscious cognition. He serves on the editorial board
of Journal of Management Information Systems.
Dennis Galletta, University of Pittsburgh, USA,
galletta@pitt.edu<mailto:galletta@pitt.edu>
Dennis has conducted studies in the related area of phishing
(e.g., Moody et al. 2017) and has launched a two-study project to
research fake news. He is an AIS Fellow, a LEO lifetime
achievement awardee, and serves as Doctoral Director for the
Business School. He has published over a hundred articles,
conference papers, and books. He serves as an MIS Quarterly Senior
Editor and an editorial board member of Journal of Management
Information Systems.
Jane Webster, Queen's University, Canada,
jane.webster@queensu.ca
Jane has worked in areas related to fake news, including knowledge
hiding, knowledge sharing, and greenwashing. She has served as a
Senior Editor for MIS Quarterly and VP Publications for AIS. She
has published over a hundred research papers, most recently
focusing on information systems and technologies to support
environmental sustainability.
References
1. Allcott, H. and Gentzkow, M. Social media and fake news in the
2016 election. Journal of Economic Perspectives, 31, 2 (May 2017),
211-236.
2. Aral, S. Truth, Disrupted. Harvard Business Review, 2018, 3-11.
3. Bradshaw, S. and Howard, P.N. Challenging truth and trust: A
global inventory of organized social media manipulation. The
Computational Propaganda Project, (2018).
4. Dunlap, R.R. and McCright, A.M. Organized climate change
denial. In J.S. Dryzek, R.B. Norgaard and D. Schlosberg, eds., The
Oxford handbook of climate change and society. Oxford University
Press, 2011.
5. George, J.F., Gupta, M., Giordano, G., Mills, A.M., Tennant,
V.M., and Lewis, C.C. The effects of communication media and
culture on deception detection accuracy. MIS Quarterly, 42, 2
(February 2018), 551-575.
6. Humprecht, E. Where "fake news" flourishes: a comparison across
four Western democracies. Information, Communication &
Society, (May 2018), 1-16.
7. Kim, A. and Dennis, A.R. Says who? The effects of presentation
format and source rating on fake news in social media. MIS
Quarterly, 43, 3 (September 2019).
8. Knight, E. and Tsoukas, H. When fiction trumps truth: What
"post-truth" and "alternative facts" mean for management studies.
Organization Studies, 40, 2 (February 2019), 183-197.
9. Kuem, J., Ray, S., Siponen, M., and Kim, S.S. What leads to
prosocial behaviors on social networking services: A tripartite
model. Journal of Management Information Systems, 34, 1 (January
2017), 40-70.
10. Kumar, N., Venugopal, D., Qiu, L., and Kumar, S. Detecting
review manipulation on online platforms with hierarchical
supervised learning. Journal of Management Information Systems,
35, 1 (January 2018), 350-380.
11. Kwon, H.E., Oh, W., and Kim, T. Platform structures, homing
preferences, and homophilous propensities in online social
networks. Journal of Management Information Systems, 34, 3 (July
2017), 768-802.
12. Lazer, D.M.J., Baum, M.A., Benkler, Y., et al. The science of
fake news. Science, 359, 6380 (March 2018), 1094-1096.
13. Lyon, T.P. and Montgomery, A.W. The means and end of
greenwash. Organization & Environment, 28, 2 (June 2015),
223-249.
14. Mathew, I. Most Americans say they have lost trust in the
media. Columbia Journalism Review, 2018.
https://www.cjr.org/the_media_today/trust-in-media-down.php.
15. Moravec, P., Kim, A., and Dennis, A.R. Behind the stars: The
effects of news source ratings on fake news in social media.
Journal of Management Information Systems, (in press).
16. Moravec, P., Kim, A., and Dennis, A.R. Flagging fake news:
System 1 vs. System 2. In ICIS 2018 Proceedings. Association for
Information Systems, San Francisco, CA, US, 2018.
17. Moravec, P., Minas, R.A., and Dennis, A.R. Fake news on social
media: People believe what they want to believe when it makes no
sense at all. MIS Quarterly, (in press).
18. Murphy, M. Study: Fake news hits the workplace. Leadership IQ,
2017.
https://www.leadershipiq.com/blogs/leadershipiq/study-fake-news-hits-the-workplace.
19. Murungi, D., Puaro, S., and Yates, D.J. Beyond facts: A new
spin on fake news in the age of social media. In AMCIS 2018
Proceedings. Association for Information Systems, New Orleans, LA,
US, 2018.
20. Pan, Z., Lu, Y., Wang, B., and Chau, P.Y.K. Who do you think
you are? Common and differential effects of social self-identity
on social media usage. Journal of Management Information Systems,
34, 1 (January 2017), 71-101.
21. Subramanian, S. Inside the Macedonian fake-news complex.
Wired, 2017.
https://www.wired.com/2017/02/veles-macedonia-fake-news/.
22. Venkatraman, S., M. K. Cheung, C., Lee, Z.W.Y., D. Davis, F.,
and Venkatesh, V. The "Darth" side of technology use: An
inductively derived typology of cyberdeviance. Journal of
Management Information Systems, 35, 4 (October 2018), 1060-1091.
23. Vosoughi, S., Roy, D., and Aral, S. The spread of true and
false news online. Science, 359, 6380 (March 2018), 1146-1151.
=========================================================
Alan Dennis
Professor and John T. Chambers Chair of Internet Systems
www.kelley.iu.edu/ardennis<https://www.kelley.iu.edu/ardennis>
AIS President Elect (aisnet.org
<https://aisnet.org/>)
Editor-in-Chief, AIS Transactions on Replication Research
(aisel.aisnet.org/trr)
<https://aisel.aisnet.org/trr>
=========================================================
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