What are the characteristics of highly disseminated public health-related tweets?

Proceedings of the 24th Australian Computer-Human Interaction Conference, OzCHI 2012

Volumn , Issue , 2012, Pages 115-118

  Dumbrell, Dan ^a   Steele, Robert ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

health dissemination; public health; social media; Twitter

Indexed keywords

HEALTH INFORMATIONS; MASS MEDIA; MICRO-BLOG; NOVEL APPLICATIONS; PEER INTERACTIONS; SOCIAL MEDIA; TWITTER;

INTERACTIVE COMPUTER SYSTEMS; SOCIAL NETWORKING (ONLINE);

PUBLIC HEALTH;

EID: 84872336359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2414536.2414555     Document Type: Conference Paper

References (7)

1. Achrekar, H., Gandhe, A., Lazarus, R., Yu, H. and Liu, B. Predicting Flu Trends using Twitter Data. In Proc. 1st Intl Wkshp of Cyber-Physical Networking Systems 2011, 713-718.
2. ,Cha, M., Haddadi, H., Benevenuto, F. and Gummandi, K.P. Measuring User Influence in Twitter: The Million Follower Fallacy. In Proc. AAAI 2010.
3. Kwak, H., Lee, C., Park, H. and Moon, S. What is Twitter, a Social Network or a News Media?. In Proc. WWW 2010, ACM Press (2010), 591-600.
4. Poblete, B., Mendoza, G.M. and Jaimes, A. Do All Birds Tweet the Same?: Characterizing Twitter Around the World. In Proc. CIKM 2011, 1025-1030.
5. Quercia, D., Ellis, J., Capra, L. and Crowcroft, J. In the Mood for Being Influential on Twitter. In Proc. IEEE SocialCom 2011, 307-314.
6. Sadilek, A., Kautz, H., and Silenzio, V. Modelling spread of disease from social interactions. In Proc. AAAI 2012, 322-32.
7. Steele, R. Social Media, Mobile Devices and Sensors: Categorizing New Techniques for Health Communication. In Proc. of the 5th International Conference on Sensing Technology, 2011.