Quality evaluation of health answers in Yahoo! Answers: A comparison between experts and users

Proceedings of the ASIST Annual Meeting

Volumn 48, Issue , 2011, Pages

  Oh, Sanghee ^a   Worrall, Adam ^a   Yi, Yong Jeong ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Health; Online answers; Quality criteria; Social Q A

Indexed keywords

EID: 84861422504     PISSN: None     EISSN: 15508390     Source Type: Journal    
DOI: 10.1002/meet.2011.14504801269     Document Type: Conference Paper

References (8)

1. Ambre, J., Guard, J. R., Perveiler, F. M., Renner, J., & Rippen, H. (1997). Criteria for assessing the quality of health information on the Internet [White paper]. Retrieved from http://www.mlanet.org/tech-is/meb/criteria.pdf
2. Eysenbach, G., Powell, J., Kuss, O., & Sa, E. (2002). Empirical studies assessing the quality of health information for consumers on the World Wide Web: A systematic review. Journal of the American Medical Association, 287, 2691-2700.
3. Fox, S., & Jones, S. (2009). The social life of health information. Washington, DC: Pew Research Center. Retrieved from http://www.pewinternet.org/ ~/media/Files/Reports/2009/PIP-Health-2009.pdf
4. Harper, F. M., Raban, D., Rafaeli, S., & Konstan, J. A. (2008). Predictors of answer quality in online Q&A sites. In Proceedings of CHI'08: The 26th annual SIGCHI conference on human factors in computing systems (pp. 865-874). New York, NY: ACM. doi:10.1145/1357054.1357191
5. Health on the Net Foundation. (1997). HON code on conduct (HONCode) for medical and health Websites (version 1.6). Retrieved from http://www.hon. ch/HONcode/Conduct.html
6. Liu, Y., Bian, J., & Agichtein, E. (2008). Predicting information seeker satisfaction in community question answering. In Proceedings of SIGIR'08: The 31st annual international ACM SIGIR conference on research and development in information retrieval (pp. 483-490). New York, NY: ACM. doi:10.1145/1390334. 1390417
7. Shah, C., & Pomerantz, J. (2010). Evaluating and predicting answer quality in community QA. In Proceedings of SIGIR'10: The 33rd international ACM SIGIR conference on research and development in information retrieval (pp. 411-418). New York, NY: ACM.
8. Zhu, Z., Bernhard, D., & Gurevych, I. (2009). A multidimensional model for assessing the quality of answers in social Q&A sites [Technical Report TUD-CS-2009-0158]. Darmstadt, Germany: Technische Universutat Darmstad. Retrieved from http://tuprints.ulb.tudarmstadt.de/1940/1/TR-dimension-model.pdf