Credibility ranking of tweets during high impact events

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages

  Gupta, Aditi ^a   Kumaraguru, Ponnurangam ^a  

^a INDRAPRASTHA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

Credibility; High impact events; Online social media

Indexed keywords

CONTENT-BASED FEATURES; CREDIBILITY; HIGH CONFIDENCE; HIGH IMPACT; RANKING ALGORITHM; RE-RANKING; RELEVANCE FEEDBACK; SITUATIONAL AWARENESS; SOCIAL MEDIA; SUPERVISED MACHINE LEARNING;

INFORMATION DISSEMINATION; REGRESSION ANALYSIS;

SOCIAL NETWORKING (ONLINE);

EID: 84860679456     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2185354.2185356     Document Type: Conference Paper

References (28)

1. F. Benevenuto, G. Magno, T. Rodrigues, and V. Almeida. Detecting spammers on Twitter. In CEAS, 2010.
2. C. Buckley, G. Salton, and J. Allan. Automatic retrieval with locality information using SMART. NIST special publication, (500207):59-72, 1993.
3. K. R. Canini, B. Suh, and P. L. Pirolli. Finding credible information sources in social networks based on content and social structure. In SocialCom, 2011.
4. C. Castillo, M. Mendoza, and B. Poblete. Information Credibility on Twitter. In WWW, pages 675-684, 2011.
5. J. Chen, R. Nairn, L. Nelson, M. Bernstein, and E. Chi. Short and tweet: experiments on recommending content from information streams. CHI'10, pages 1185-1194, 2010.
6. S. Chhabra, A. Aggarwal, F. Benevenuto, and P. Kumaraguru. Phi.sh/$ocial: the phishing landscape through short urls. CEAS 2011, pages 92-101, 2011.
7. B. De Longueville, R. S. Smith, and G. Luraschi. "omg, from here, i can see the ames!": a use case of mining location based social networks to acquire spatio-temporal data on forest fires, LBSN, 2009.
8. A. Dong, R. Zhang, P. Kolari, J. Bai, F. Diaz, Y. Chang, Z. Zheng, and H. Zha. Time is of the essence: improving recency ranking using twitter data. WWW'10.
9. Y. Duan, L. Jiang, T. Qin, M. Zhou, and H.-Y. Shum. An empirical study on learning to rank of tweets. In COLING'10.
10. C. Grier, K. Thomas, V. Paxson, and M. Zhang. @spam: the underground on 140 characters or less. In Proceedings of the 17th ACM conference on Computer and communications security, 2010.
11. A. Gupta and P. Kumaraguru. Twitter explodes with activity in mumbai blasts! a lifeline or an unmonitored daemon in the lurking? IIIT, Delhi, Technical report, IIITD-TR-2011-005, 2011.
12. A. l. Hughes and L. Palen. Twitter adoption and use in mass convergence and emergency events. In Proceedings of the 2009 ISCRAM Conference, 2009.
13. A. L. Hughes and L. Palen. Twitter adoption and use in crisis twitter adoption and use in mass convergence and emergency events. In ISCRAM, 2010.
14. K. Järvelin and J. Kekäläinen. Cumulated gain-based evaluation of ir techniques. ACM Transactions on Information Systems, 20:2002, 2002.
15. T. Joachims. Optimizing search engines using clickthrough data. In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 133-142, 2002.
16. H. Kwak, C. Lee, H. Park, and S. Moon. What is twitter, a social network or a news media? WWW'10, 2010.
17. J. R. Landis and G. G. Koch. The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1):159-174, Mar. 1977. (Pubitemid 8054849)
18. M. Mendoza, B. Poblete, and C. Castillo. In SOMA, July.
19. B. O'Connor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. In Proceedings of the International AAAI Conference on Weblogs and Social Media, 2010.
20. O. Oh, M. Agrawal, and H. R. Rao. Information control and terrorism: Tracking the mumbai terrorist attack through twitter. Information Systems Frontiers, 13(1):33-43, 2011.
21. L. Page, S. Brin, R. Motwani, and T. Winograd. The PageRank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project, 1998.
22. J. Ratkiewicz, M. Conover, M. Meiss, B. Goncalves, S. Patil, A. Flammini, and F. Menczer. Truthy: mapping the spread of astroturf in microblog streams. WWW'11.
23. S. E. Robertson, S. Walker, and M. Beaulieu. Okapi at trec-7: automatic ad hoc, filtering, vlc and interactive track. IN, 1999.
24. T. Sakaki, M. Okazaki, and Y. Matsuo. Earthquake shakes twitter users: real-time event detection by social sensors. WWW'10, 2010.
25. S. Verma, S. Vieweg, W. J. Corvey, L. Palen, J. H. Martin, M. Palmer, A. Schram, and K. M. Anderson. Nlp to the rescue? extracting "situational awareness" tweets during mass emergency. ICWSM, 2011.
26. S. Vieweg, A. L. Hughes, K. Starbird, and L. Palen. Microblogging during two natural hazards events: what twitter may contribute to situational awareness. In CHI, CHI'10, pages 1079-1088, 2010.
27. S. Yardi, D. Romero, G. Schoenebeck, and D. Boyd. Detecting spam in a Twitter network. First Monday, 15(1), Jan. 2010.
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'11.