Politics, sharing and emotion in microblogs

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013

Volumn , Issue , 2013, Pages 282-289

  Hoang, Tuan Anh ^a   Cohen, William W ^b   Lim, Ee Peng ^a   Pierce, Doug ^c   Redlawsk, David P ^c  

^a SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

^b Carnegie Mellon University   (United States)

^c Rutgers University   (United States)

Author keywords

Emotional affect; Information sharing; Microblogs; Sentiment analysis

Indexed keywords

INFORMATION ANALYSIS; SOCIAL NETWORKING (ONLINE);

EMOTIONAL AFFECTS; EMOTIONAL REACTIONS; INFORMATION SHARING; MICROBLOGS; POLITICAL INFORMATION; PRESIDENTIAL ELECTION; SENDER AND RECEIVERS; SENTIMENT ANALYSIS;

SOCIAL SCIENCES;

EID: 84893329651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2492517.2492554     Document Type: Conference Paper

References (30)

1. G. Alec, B. Richa, and H. Lei. Twitter sentiment classication using distant supervision. Technical report, Stanford University, 2009.
2. E. Bakshy, I. Rosenn, C. Marlow, and L. Adamic. The role of social networks in information diffusion. In WWW '12, 2012.
3. R. Balasubramanyan, W. W. Cohen, D. Pierce, and D. P. Redlawsk. Modeling polarizing topics: When do different political communities respond differently to the same news? In 6th ICWSM, 2012.
4. J. A. Berger and K. L. Milkman. What makes online content viral? Social Science Research Network, 2009.
5. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. J. Mach. Learn. Res., 2003.
6. A. Boutet, H. Kim, and E. Yoneki. What's in your tweets? i know who you supported in the uk 2010 general election. In ICWSM, 2012.
7. J. M. Bristor. Enhanced explanations of word-of-mouth communication: the power of relationships. Research in Consumer Behavior, 1990.
8. M. Conover, J. Ratkiewicz, M. Francisco, B. Gonçalves, A. Flammini, and F. Menczer. Political polarization on twitter. In 5th ICWSM, 2011.
9. N. A. Diakopoulos and D. A. Shamma. Characterizing debate performance via aggregated twitter sentiment. In CHI '10, 2010.
10. A. Dobele, A. Lindgreen, M. Beverland, J. Vanhamme, and R. van Wijk. Why pass on viral messages? because they connect emotionally. Business Horizons, 2007.
11. A. Feller, M. Kuhnert, T. O. Sprenger, and I. M. Welpe. Divided they tweet: The network structure of political microbloggers and discussion topics. In 5th ICWSM, 2011.
12. J. Golbeck, J. M. Grimes, and A. Rogers. Twitter use by the u.s. congress. J. Am. Soc. Inf. Sci. Technol., 2010.
13. M. S. Granovetter. The Strength of Weak Ties. The American Journal of Sociology, (6):1360-1380, 1973.
14. L. K. Hansen, A. Arvidsson, F. A. Nielsen, E. Colleoni, and M. Etter. Good friends, bad news - affect and virality in twitter. In J. J. Park, L. T. Yang, and C. Lee, editors, Future Information Technology, Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011.
15. J. A. Hendricks and R. E. D. Jr. Communicator-In-Chief: How Barack Obama Used New Media Technology to Win the White House. Lexington Books, 2010.
16. A. Jisun, C. Meeyoung, G. P. Krishna, and C. Jon. Media landscape in twitter: A world of new conventions and political diversity. In 5th ICWSM, 2011.
17. Z. Kunda. Motivated inference: Self-serving generation and evaluation of causal theories. Journal of Personality and Social Psychology, 53(4):636, 1987.
18. M. Lodge and C. Taber. Three steps toward a theory of motivated political reasoning. In Elements of Political Reason. Cambridge University Press, London, 2000.
19. C. D. Manning, P. Raghavan, and H. Schutze. Introduction to Information Retrieval. Cambridge University Press, 2008.
20. M. Pennacchiotti and A.-M. Popescu. Democrats, republicans and starbucks afficionados: user classification in twitter. In KDD, 2011.
21. D. Pierce, D. P. Redlawsk, W. W. Cohen, T. Yano, and R. Balasubramanyan. Social and affective responses to political information. APSA, 2012.
22. D. Redlawsk. Hot cognition or cool consideration? testing the effects of motivated reasoning on political decision making. The Journal of Politics, 64(04):1021-1044, 2002.
23. D. Redlawsk. Motivated reasoning, affect, and the role of memory in voter decision-making. In D. Redlawsk, editor, Feeling Politics: Emotion in Political Information Processing. Palgrave Macmillan, 2006.
24. D. P. Redlawsk, A. J. W. Civettini, and K. M. Emmerson. The affective tipping point: Do motivated reasoners ever get it? Political Psychology, 31(4):563-593, 2010.
25. S. Stieglitz and L. Dang-Xuan. Political communication and influence through microblogging-an empirical analysis of sentiment in twitter messages and retweet behavior. In 45th HICSS, 2012.
26. B. Suh, L. Hong, P. Pirolli, and E. H. Chi. Want to be retweeted? large scale analytics on factors impacting retweet in twitter network. In SocialCom, 2010.
27. S. Wu, J. M. Hofman, W. A. Mason, and D. J. Watts. Who says what to whom on twitter. In WWW '11, 2011.
28. W. X. Zhao, J. Jiang, J. Weng, J. He, E.-P. Lim, H. Yan, and X. Li. Comparing twitter and traditional media using topic models. In ECIR, 2011.
29. L. Zhiming, L. Lu, and L. Hong. Determinants of information retweeting in microblogging. Internet Research, 2012.
30. Z. Zhou, R. Bandari, J. Kong, H. Qian, and V. Roychowdhury. Information resonance on twitter: watching iran. In 1st SOMA, 2010.