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DSSM 2017 : The Dark Side of Social Media | |||||||||||||
Link: https://sites.google.com/view/dssm17 | |||||||||||||
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Call For Papers | |||||||||||||
A large body of research has considered the positive aspects of social media. However, emerging research and practice are beginning to focus on complex and often alarming ways in which use of social media may harmfully affect individuals, organizations and societies. For example, data leakage prevention and suspicious networks detection (Perez et al., 2012; Perez et al., 2013), negative word-of-mouth dynamics (Pfeffer et al., 2014) and their repercussions on marketing and e-reputation (Castellano et al. 2014; 2016), privacy violation (Fox and Moreland, 2015; Krasnova et al., 2012), anxiety and depression (Krasnova et al., 2015) addiction (Andreassen et al., 2012; Turel, 2015; Turel & Serenko, 2011), misrepresentation and negative psychological consequences (Garcia & Sikström, 2014; Mäntymäki & Islam, 2016) are some of the issues that have been studied so far. Many others require a deepened interest, especially within the organizational settings, in which social media pervasive usage might contribute to jeopardize systems security (Sokolova et al., 2016), disrupt work habits and impoverish individual performance via information overload, technostress and fatigue (Kefi et al., 2015; Kefi et al., 2016; Maier et al., 2015). Larger effects include enabling racism, terrorism and cyber-crime (Dean et al., 2012).
This workshop focuses on these ‘dark’ effects of social media. The level of analysis is the individual, group, organization or the society as a whole, when those actors are interacting with the platforms, services and emerging technological artifacts commonly known as social media (Kaplan & Haenlein, 2010). TOPICS OF INTEREST We welcome submissions form diverse domains including (amidst others) sociology, psychology, marketing, human resources, computer science, etc. All methodological approaches are equally appreciated, including qualitative, quantitative and mixed methodologies, conceptual building and design science. We are expecting submissions that address (but are not limited to) the following topics: Information atrophy Information overload Social networking fatigue Addiction and dependence Technostress, anxiety and depression Privacy by usage Privacy by design Data leakage Digital divide Cybercrime Information security Social media and channel conflict Co-destruction of value in social media Employee misconduct in social media and bad practices Negative word-of-mouth Big data social media analytics abuse Bad buzz effect REFERENCES Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a Scale for Facebook Addiction. Psychological Reports, 110(2), 501–517. Castellano, S., Khelladi, I., Chipaux, A., & Kupferminc, C. (2014). The Influence of Social Networks on E-Reputation: How Sportspersons Manage the Relationship with Their Online Community. International Journal of Technology and Human Interaction, 10(4), 65-79. Castellano, S., & Khelladi, I. (2016). Reputation, Image, and Social Media as Determinants of e-Reputation: The Case of Digital Natives and Luxury Brands. International Journal of Technology and Human Interaction, 12(4), 48-64. Dean, G., Bell, P., & Newman, J. (2012). The Dark Side of Social Media: Review of Online Terrorism. Pakistan Journal of Criminology, 3(3), 107–126. Garcia, D., & Sikström, S. (2014). The dark side of Facebook: Semantic representations of status updates predict the Dark Triad of personality. Personality and Individual Differences, 67, 69–74. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59–68. Kefi, H., Mlaiki, A., Kalika, M. (2015), “Social Networking Continuance: When Habit leads to Information Overload”, European Conference on Information Systems Proceedings, Munster, Germany. Kefi, H., Mlaiki, A., Kalika, M. (2016), “ Comprendre le phénomène de dépendance envers les réseaux sociaux numériques. Les effets de l'habitude et de la surcharge informationnelle dans le cas de Facebook”, Systèmes d'information et Management,Vol.21, N°4 (accepted for publication). Krasnova, H., Veltri, N. F., & Günther, O. (2012). Self-disclosure and Privacy Calculus on Social Networking Sites: The Role of Culture. Business & Information Systems Engineering, 4(3), 127–135. Krasnova, H., Widjaja, T., Buxmann, P., Wenninger, H., & Benbasat, I. (2015). Why Following Friends Can Hurt You : An Networking Sites among College-Age Users College-Age Users. Information Systems Research, 26(3), 585–605. Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too much social support: social overload on social networking sites. European Journal of Information Systems, 24(5), 447–464. Mäntymäki, M., & Islam, A. K. M. N. (2016). The Janus face of Facebook: Positive and negative sides of social networking site use. Computers in Human Behavior, 61, 14–26. Perez, C., Birregah, B., Lemercier, M. (2012). The Multi-layer Imbrication for Data Leakage Prevention from Mobile Devices. IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 813-819. Perez, C., Birregah, B., Lemercier, M. (2013). REPLOT: REtrieving profile links on Twitter for suspicious networks detection. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 1307-1314. Pfeffer, J., Zorbach, T., & Carley, K. M. (2014). Understanding online firestorms: Negative word-of-mouth dynamics in social media networks. Journal of Marketing Communications, 20(1–2), 117–128. Sokolova K., Perez, C., Lemercier, M. (2016), Android application classification and anomaly detection with graph-based permission patterns. Decisions Support Systems (Accepted for publication). Turel, O. (2015). An Empirical Examination of the Vicious Cycle of Facebook Addiction. The Journal of Computer Information Systems, 55(3), 83–91. Turel, O., & Serenko, A. (2011). Developing a (bad) habit: Antecedents and adverse consequences of social networking website use habit. In 17th Americas Conference on Information Systems 2011, AMCIS 2011 (Vol. 1, pp. 705–712). |
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