Belief surveillance with twitter

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

Volumn volume, Issue , 2012, Pages 43-46

  Bhattacharya, Sanmitra ^a   Tran, Hung ^a   Srinivasan, Padmini ^a   Suls, Jerry ^b  

^a University of Iowa   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

Large scale data collection; Microblogs; Public belief analysis

Indexed keywords

ESTIMATION; PROBES; SOCIAL NETWORKING (ONLINE);

DATA COLLECTION; DISEASE SURVEILLANCE; FACTUAL INFORMATION; INTERACTIVITY; METHODOLOGICAL FRAMEWORKS; MICROBLOGS; OPINION MINING; PUBLIC BELIEF ANALYSIS; SOCIAL MEDIA;

MONITORING;

EID: 84869052976     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2380718.2380724     Document Type: Conference Paper

References (5)

1. Culotta, A. Towards detecting influenza epidemics by analyzing twitter messages. In Proceedings of the First Workshop on Social Media Analytics, SOMA '10, ACM (New York, NY, USA, 2010), 115-122.
2. Gansler, T., Henley, S. J., Stein, K., Nehl, E. J., Smigal, C., and Slaughter, E. Sociodemographic determinants of cancer treatment health literacy. Cancer 104, 3 (Aug 2005), 653-660.
3. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., and Witten, I. H. The weka data mining software: an update. SIGKDD Explor. Newsl. 11, 1 (Nov. 2009), 10-18.
4. Signorini, A., Segre, A. M., and Polgreen, P. M. The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic. PLoS ONE 6, 5 (2011), e19467.
5. Thelwall, M., Buckley, K., and Paltoglou, G. Sentiment in twitter events. Journal of the American Society for Information Science and Technology 62, 2 (2011), 406-418.