-------- Original-Nachricht -------- Betreff: [AISWorld] CFP: AMCIS 2014 Minitrack "Social Media Analytics" Datum: Mon, 3 Feb 2014 20:17:21 +0000 Von: Lu, Yingda luy6@rpi.edu An: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

CALL FOR PAPERS: AMCIS 2014, Savannah, GA, August 7-10, 2014

SOCIAL COMPUTING

SCOIAL MEDIA ANALYTICS MINITRACK

As social media becomes a standard communication and collaboration platform, large amounts of data are generated and publically available on tools 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 organizational performance. For this new 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

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*SUBMISSION PROCESS:*

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Full paper submissions must be made electronically through the AMCIS on-line submission system. Papers can be submitted beginning on January 5, 2014. The link for the submission system as well detailed submission guidelines are available here: http://amcis2014.aisnet.org/index.php/call-for-papers.

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*IMPORTANT DATES:*

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Submission Deadlines: March 1, 2014

Author Notification Date: Friday, April 4, 2014.

Authors must submit their camera-ready, final papers by Friday, April 25, 2014.

*Minitrack chairs:*

Dorit Nevo, Lally School of Management, Rensselaer Polytechnic Institute, nevod@rpi.edu mailto:nevod@rpi.edu

Yingda Lu, Lally School of Management, Rensselaer Polytechnic Institute, luy6@rpi.edu mailto:luy6@rpi.edu

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*Yingda Lu*, PhD

Assistant Professor

Lally School of Management

Rensselaer Polytechnic Institute

(518)276-2768