[AISWorld] AMCIS 2017 Mini-track: Social Media Analytics

[Nevo, Dorit]

We invite submissions to the Social Media Analytics mini-track within the Social Computing track at AMCIS 2017 in Boston.

DESCRIPTION:
As social media becomes a standard communication and collaboration platform, large amounts of data are generated and publically 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. Papers can be submitted beginning on January 9, 2017. The link for the submission system as well detailed submission guidelines are available here: http://amcis2017.aisnet.org/submissions/types-of-submissions/

IMPORTANT DATES:
January 9, 2017:   Website opens for submissions
March 1, 2017:   Submissions deadline, please check AMCIS website for details
April 17, 2017:   Notification of initial decisions

For additional information, contact the mini-track chairs:
Dorit Nevo, Rensselaer Polytechnic Institute, nevod at rpi.edu
Yingda Lu, Rensselaer Polytechnic Institute, luy6 at rpi.edu
Lucy Yan, Indiana University, yanlucy at indiana.edu











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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 at rpi.edu<mailto:nevod at rpi.edu>