Political speech in social media streams: YouTube comments and Twitter posts

Proceedings of the 4th Annual ACM Web Science Conference, WebSci'12

Volumn volume, Issue , 2012, Pages 205-208

  Mejova, Yelena ^a   Srinivasan, Padmini ^a  

^a University of Iowa   (United States)

Author keywords

Political discourse; Sentiment analysis; Social media

Indexed keywords

DATA MINING; SOCIAL NETWORKING (ONLINE);

GENERAL POPULATION; POLITICAL DISCOURSE; SENTIMENT ANALYSIS; SOCIAL MEDIA; TEXTUAL CONTENT; YOUTUBE;

SOCIAL SCIENCES;

EID: 84869046646     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2380718.2380744     Document Type: Conference Paper

References (14)

1. Bermingham, A., and Smeaton, A. Classifying sentiment in microblogs: Is brevity an advantage? CIKM (2010).
2. Bifet, A., and Frank, E. Sentiment knowledge discovery in twitter streaming data. Lecture Notes in Computer Science 6332 (2010).
3. Bollen, J., Pepe, A., and Mao, H. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. WWW (2010).
4. Diakopoulos, N. A., and Shamma, D. A. Characterizing debate performance via aggregated twitter sentiment. CHI (2010).
5. Feller, A., Kuhnert, M., Sprenger, T. O., and Welpe, I. M. Divided they tweet: The network structure of political microbloggers and discussion topics. ICWSM (2011).
6. Gamon, M., Basu, S., Belenko, D., Fisher, D., Hurst, M., and Konig, A. C. Blews: Using blogs to provide context for news articles. ICWSM (2008).
7. Gonzalez-Bailon, S., Banchs, R. E., and Kaltenbrunner, A. Emotional reactions and the pulse of public opinion: Measuring the impact of political events on the sentiment of online discussions. http://arxiv.org/abs/1009.4019 (2010).
8. Lin, Y.-R., Bagrow, J. P., and Lazer, D. More voices than ever? quantifying media bias in networks. ICWSM (2011).
9. Livne, A., Simmons, M., Adar, E., and Adamic, L. The party is over here: Structure and content in the 2010 election. ICWSM (2011).
10. O'Connor, B., Balasubramanyan, R., Routledge, B. R., and Smith, N. A. From tweets to polls: Linking text sentiment to public opinion time series. International AAAI Conference on Weblogs and Social Media (ICWSM) (2010).
11. Peddinti, V. M. K., and Chintalapoodi, P. Domain adaptation in sentiment analysis of twitter. Analyzing Microtext Workshop, AAAI (2011).
12. Ratkiewicz, J., Conover, M. D., Meiss, M., Goncalves, B., Flammini, A., and Menczer, F. M. Detecting and tracking political abuse in social media. ICWSM (2011).
13. Somasundaran, S., Wilson, T., Wiebe, J., and Stoyanov, V. Qa with attitude: Exploring opinion type analysis for improving question answering in on-line discussions and the news. ICWSM (2007).
14. Tumasjan, A., Sprenger, T. O., Sandner, P. G., and Welpe, I. M. Predicting elections with twitter: What 140 characters reveal about political sentiment. AAAI (2010).