Information Quality on Yahoo! Answers

Adamic, L.A., Zhang, J., Bakshy, E., & Ackerman, M.S. (2008). Knowledge sharing and Yahoo! Answers: Everyone knows something. In Proceedings of the International World Wide Web Conference (pp. 665-674). Beijing: ACM.

Blooma, M.J., Chua, A.Y., & Goh, D.H. (2008). A predictive framework for retrieving the best answer. In Proceedings of the 2008 ACM Symposium on Applied Computing (pp. 1107-1111). Fortaleza, Ceara, Brazil: ACM.

Blooma, M.J. Goh, D.H., & Chua, A.Y. (2012). Predictors of high-quality answers. Online Information Review, 36(3), 383 – 400.

Bouguessa, M., Dumoulin, B., & Wang, S. (2009). Identifying authoritative actors in question-answering forums: The case of Yahoo! Answers. In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 866-874). Las Vegas: ACM.

Chua, A.Y.K., Balkunje, R.S. (2012). Comparative evaluation of community question answering websites. The outreach of digital libraries: A globalized resource network. Lecture Notes in Computer Science, 7634 (pp. 209-218).

Fichman, P. (2011). A comparative assessment of answer quality on four question answering sites. Journal of Information Science, 37(5), 476-486.

Fichman, P. (2012). How many answers ere enough? Optimal number of answers for Q&A sites. Social Informatics, 260-274.

Gazan, R. (2006). Specialists and synthesists in a question answering community. In Proceedings of the American Society for Information Science & Technology Annual Meeting (pp. 1-10). Austin: ASIST.

Giles, J. (2005). Internet encyclopedias go head to head. Nature, 438, 900-901 (available at http://www.nature.com/news/2005/051212/full/438900a.html).

Harper, F.M., Moy, D., & Konstan, J.A. (2009). Facts or friends?: Distinguishing informational and conversational questions in social Q&A sites. In Conference on Human Factors in Computing Systems (pp. 759-768). Boston: ACM.

Harper, F.M., Raban, D., Rafaeli, S., & Konstan, J.A. (2008). Predictors of answer quality in online Q&A sites. In Proceedings of the Conference on Human Factors in Computing Systems (pp. 865-874). Florence, Italy: ACM.

Kim, S., & Oh, S. (2009). Users’ relevance criteria for evaluating answers in social Q&A site. Journal of the American Society for Information Science and Technology, 60(4), 716-727.

Lombard, M., Snyder-Duch, J., & Bracken, C. C. (2002). Content analysis in mass communication: Assessment and reporting of intercoder reliability. Human Communication Research, 28(4), 587–604.

Meneely, A., & Williams, L. (2009). Secure open source collaboration: An empirical study of Linus’ Law. In Proceedings of the 16th ACM Conference on Computer and Communications Security (pp. 453-462). New York: ACM.

Rehavi, A., & Refaeli, S. (2012). Knowledge and social networks in Yahoo! Answers. 45th Hawaii International Conference on System Science (HICSS), pp. 781-789.

Rosenbaum, H., & Shachaf, P. (2010). A structuration approach to online communities of practice: The case of Q&A communities. Journal of the American Society for Information Science and Technology, 61(9), 1933-1944.

Schweik, C.M., English, R.C., Kisting, M., & Haire, S. (2008). Brooks' versus Linus' law: an empirical test of open source projects. In Proceedings of the 2008 International Conference on Digital Government Research (pp. 423-424). Montreal, Canada: Digital Government Society of North America, ACM.

Shachaf, P. (2009). The paradox of expertise: Is the Wikipedia Reference Desk as good as your library? Journal of Documentation, 65(6), 977-963.

Shachaf, P., & Rosenbaum, H. (2009). Online social reference: A research agenda through a STIN framework. Proceedings of the iConference’09, Chapel Hill, NC, US.

Wu, P.F., & Korfiatis, Ni. (2013). You scratch someone's back and we'll scratch yours: Collective reciprocity in social Q&A communities. Journal of the American Society for Information Science and Technology.