-------- Forwarded Message --------
Hello colleagues
We would like to invite you to submit your research to our
conference theme track, "Information System for a Sharing Society"
at European Conference on Information System (ECIS.. a premier MIS
conference in Europe) 2019 to be held in Sweden. If you have any
questions, please contact us.
Regards,
Anil Aggarwal, USA. Email:
aaggarwal@ubalt.edu<mailto:aaggarwal@ubalt.edu>
Doug Vogel, PRC Email:
vogel.doug@gmail.com<mailto:vogel.doug@gmail.com>
G. 'Hari' Harindranath, UK. Email:
G.Harindranath@rhul.ac.uk<mailto:G.Harindranath@rhul.ac.uk>
Yuko Murayama, Japan. Email:
murayama@tsuda.ac.jp<mailto:murayama@tsuda.ac.jp>
===========================================
CALL FOR PAPERS FOR the theme-track
Information Systems for a Sharing Society
ECIS - 2019
June 8-14, 2019
Stockholm & Uppsala, Sweden
Submission deadline 27th Nov 2018
http://ecis2019.eu/programme/research-tracks/conference-theme-track-information-systems-for-a-sharing-society/conference-theme-track-information-systems-for-a-sharing-society-1.393815
Paper Submission Process:
Paper submission:
https://new.precisionconference.com/ais
If you have any questions, please contact:
techsupport@ecis2019.eu<mailto:techsupport@ecis2019.eu>
More information of the paper submission please visit:
http://ecis2019.eu/information-to-authors/submissions
Track Description: Information Systems for a Sharing Society
Digital Sharing has changed the world order. It is a major
disruptive force which has transformed businesses, communication
and everyday life. Digital sharing is diffusing worldwide from
remote villages in Portugal to mountains of Siberia. It is
engaging citizens in e-participation resulting in reduction in
government corruption by making them more accountable; enabling
revolutions (Tahrir Square); tackling health education (Ebola
virus spread) and much more. On the dark side it is also being
misused for political purposes (Cambridge Analytica);
Cyber-attacks (alleged Russian meddling in Brexit and US
elections) bullying and terrorism. Fake news is making it complex
to filter good from bad and creating doubts and authenticity of
digital sharing.
Digital sharing, however, is a disruptive force to contend with.
Citizens and users are building likeminded communities of people
of all backgrounds they may never meet or even see. Given this
disruptive revolution it is necessary to study 'Why' and 'How' it
is happening and 'When' and 'What' we can expect from this
revolution.
Models are needed that can separate fake from real, good from bad
and ugly. A 2 (fake/real) x 3 (good/bad/ugly) matrix needs to be
explored. It is a challenging task since digital media is
borderless and uncontrolled. What kind of filters or semantic
models would separate good from bad, fake from real? Can we rank
order digital text based on its source, location, authenticity and
value? Can we use history and/or density models to separate fake
from real text/news? These and many other issues need to be
studied. Some research has already started, for example, Pennycook
et al (2018) discuss source quality; Safari et al (2018) discuss
tweets credibility; Aggarwal (2016) discusses filtration of data;
Li et al (2015) discuss credibility of sources; Lin et al (2016)
discuss credibility indicators.
However, given the richness and research potential of this area,
it is essential to brainstorm and bring diverse points of view to
develop underlying theory and frameworks. This track will attempt
to accomplish these objectives. Analytical techniques and emerging
computing power is enabling researchers to address some of these
questions.
There is no bigger digital sharing system than social media which
reaches every corner of the world from a farmer in India to the
queen of England. Information is shared every second between
billions of people across the globe. This track will address the
'what', 'when', why' and 'how' of the good, bad and ugly in fake
and real digital sharing environments.
We expect contributions from researchers within and beyond the
information system discipline. The track invites both completed
research papers and research in progress papers.
Possible Topics
The track will address issues related to participatory aspect of
social networking in the context of various communities as well as
the underlying theories of social inclusion, group dynamics,
coordination, communications and behavioural and challenging
aspects of social indulgence.
Examples of topics include the following (but are not limited to):
* What is "fake' news? Models to detect them?
* Impact of fake news: Standardization of fake news?
* Digital sharing -- a liar's den?
* Models of digital sharing in borderless environment
* Influence of digital sharing - case studies (like Cambridge
Analytica, election influences)
* What is 'global' and what is 'local' system in digital sharing?
* Use and misuse of digital sharing
* Digital diffusion with respect to diversity
* Digital sharing systems: The new inclusive normal?
* Theories frameworks for investigating diversity and digital
sharing
* Citizen sourcing and e-participation
* Empirical research related to diversity, inclusiveness and
digital sharing
* Social network drivers of fake/real news
* Social-less world of social media
* Is social media sustainable?
* Crime and punishment of social media engagement
* The why, when, what and how of digital sharing
* political reward/punishment of anonymity
* Price of anonymity
* Impact of inclusion/exclusion in communities
* Trust and distrust in community engagement
* Security, privacy and risk associated with inclusiveness
* Case Studies (success/failures) related to behaviour
standardisation
* Digital sharing: an educational tool?
References:
Aggarwal, A (2016), A Hybrid Approach to Big Data Systems
Development, in Managing Big data Integration in public Sector,
published by IGI group., 20-37
Borsai, A. M. (2016). The Effects of Message Virality and Message
Source on Facebook Users' perceptions of Source Credibility,
Norms, Attitudes, Emotional Responses, and Behavioral Intentions.
Lewandowsky, S., Cook, J., & Ecker, U. K. (2017). Letting the
Gorilla Emerge From the Mist: Getting Past Post-Truth. Journal of
Applied Research in Memory and Cognition, 6(4), 418-424.
Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J.,
Greenhill, K. M., Menczer, F., ... & Schudson, M. (2018). The
science of fake news. Science, 359(6380), 1094-1096.
Li, R., & Suh, A. (2015). Factors influencing information
credibility on social media platforms: Evidence from Facebook
Pages. Procedia computer science, 72, 314-328.
Lin, X., Spence, P. R., & Lachlan, K. A. (2016). Social media
and credibility indicators: The effect of influence cues.
Computers in Human Behavior, 63, 264-271.
Logsdon, J.; Patterson, K. (2009), "Deception in Business
Networks: Is It Easier to Lie Online?", Journal Of Business Ethics
90:537-549.
McCright, A. M., & Dunlap, R. E. (2017). Combatting
misinformation requires recognizing its types and the factors that
facilitate its spread and resonance. Journal of Applied Research
in Memory and Cognition, 6(4), 389-396.
Marwick, A., & Lewis, R. (2017). Media manipulation and
disinformation online. New York: Data & Society Research
Institute.
Pavleska, T., Školkay, A., Zankova, B., Ribeiro, N., &
Bechmann, A. (2018). Performance analysis of fact-checking
organizations and initiatives in Europe: a critical overview of
online platforms fighting fake news.
Pennycook, Gordon and Rand, David G., Crowdsourcing Judgments of
News Source Quality (March 19, 2018). Available at SSRN:
https://ssrn.com/abstract=3118471 or
http://dx.doi.org/10.2139/ssrn.3118471
Safari, Q., & Malek, M. R. (2018). A Spatial Approach for
Credibility Assessment of Tweets in Case of Natural Disaster. In
Adjunct Proceedings of the 14th International Conference on
Location Based Services (pp. 179-183). ETH Zurich.
Shu, Kai, Suhang Wang, and Huan Liu. "Exploiting Tri-Relationship
for Fake News Detection." arXiv preprint arXiv:1712.07709 (2017).
Stieglitz S, Dang-Xuan L. (2013), "Emotions and Information
Diffusion in Social Media-Sentiment of Microblogs and Sharing
Behavior", Journal Of Management Information Systems. 29(4), pp.
217-248.
Stout, M. (2017). Covert Action in the Age of Social Media.
Georgetown Journal of International Affairs, 18(2), 94-103.
Tenove, C., Buffie, J., McKay, S., Moscrop, D., Warren, M., &
Cameron, M. DIGITAL THREATS TO DEMOCRATIC ELECTIONS. Available at
https://democracy2017.sites.olt.ubc.ca/files/2018/01/DigitalThreats_Report-FINAL.pdf
Publishing Opportunities in Leading Journals
* Decision Support Systems
* Information and Management
* Journal of MIS
* EJIS
* ACM Transactions on Management Information Systems
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