User Generated Content: An Analysis of User Behavior by Mining Political Tweets

Author:

Abascal-Mena Rocío,López-Ornelas Erick,Zepeda-Hernández J. Sergio

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. O’Connor, B., Balasubramanyan, R., Routledge, B.R., Smith, N.A.: From tweets to polls: linking text sentiment to public opinion time series. In: Proc. of 4th ICWSM, pp. 122–129. AAAI Press (2010)

2. Friedman, T.: Power to the (Blogging) People. New York Times (September 14, 2010), http://www.nytimes.com/2010/09/15/opinion/15friedman.html

3. Yusuf, H.: Old and New Media: Converging During the Pakistan Emergency (March 2007-February 2008). Massachusetts Institute of Technology, Center for Future Civic Media, Cambridge, Mass (2009), http://civic.mit.edu/blog/humayusuf/old-and-new-media-converging-during-the-pakistan-emergency-march-2007-february-2008

4. Bollen, J., Pepe, A., Mao, H.: Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. In: Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, pp. 450–453 (2011)

5. Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with twitter: What 140 characters reveal about political sentiment. In: Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp. 178–185 (2010)

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