-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CFP: AMCIS Mini-track on Social Media Analytics Datum: Sun, 28 Feb 2016 23:15:51 +0000 Von: Nevo, Dorit nevod@rpi.edu An: aisworld@lists.aisnet.org aisworld@lists.aisnet.org Kopie (CC): Lucy Yan (yanlucy@indiana.edu) yanlucy@indiana.edu
Call for Paper: AMCIS Mini-track Social Media Analytics
As social media becomes a standard communication and collaboration platform, large amounts of data are generated and publicly available on various platforms such as Twitter, Facebook, blogs, wikis and more. As with other forms of big data a key question to address is how this data can be used to learn about individual and social behaviors, how predictions can be made on various indicators based on social media data, and how can we apply these data to impact platform design and organizational performance. For this mini track on social media analytics we are interested in high quality empirical and conceptual work that addresses these and other related questions.
SUGGESTED TOPICS - Sources of data in social media - Data extraction approaches for social media data - Methods and applications of text analytics - Organizational impact of social media analytics - Applications of social media analytics
SUBMISSION PROCESS: Full paper submissions must be made electronically through the AMCIS on-line submission system (https://mc.manuscriptcentral.com/amcis2016). Additional information can be found on the conference Website: http://amcis2016.aisnet.org/
IMPORTANT DATES: Submission Deadlines: March 2, 2016 Initial Decisions Notification: May 1, 2016
MINITRACK CHAIRS: Dorit Nevo, Lally School of Management, Rensselaer Polytechnic Institute, nevod@rpi.edu Yingda Lu, Lally School of Management, Rensselaer Polytechnic Institute, luy6@rpi.edu Lucy Yan, Kelley School of Business, Indiana University, yanlucy@indiana.edu
__ Dorit Nevo Associate Professor, Information Systems Lally School of Management Rensselaer Polytechnic Institute 110 8th Street, Pittsburgh Building Troy, New York, 12180 518.276.2230; nevod@rpi.edu
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