[AISWorld] cfp: ECIS 2019 Theme track: Information Systems for a Sharing Society

Tue Oct 16 09:29:33 EDT 2018

Hello colleagues

We would like to invite you to submit your research to ECIS 2019 in beautiful Sweden. If you have any questions, please contact us.

Regards,

Anil Aggarwal,    USA. Email: aaggarwal at ubalt.edu

Doug Vogel,         PRC Email: vogel.doug at gmail.com

G. 'Hari' Harindranath,  UK. Email: G.Harindranath at rhul.ac.uk

Yuko Murayama, Professor, Japan. Email: murayama at tsuda.ac.jp

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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 at 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