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http://dx.doi.org/10.3743/KOSIM.2012.29.2.135

Research Trends of the Credibility of Information in Social Q&A  

Kim, Soo-Jung (Department of Library and Information Science, Chonbuk National University)
Publication Information
Journal of the Korean Society for information Management / v.29, no.2, 2012 , pp. 135-154 More about this Journal
Abstract
Social Q&A sites such as Yahoo! Answers and Naver Knowledge-iN have become a viable method for information seeking and sharing on the Web. Considering their immense popularity and growing concerns about their validity as information sources, questions about the credibility of the information provided on social Q&As are timely. Therefore, this paper summarizes recent research on credibility related to the social Q&A context, identifies research gaps, and presents a research agenda for future research to advance this newly developing area.
Keywords
credibility; question answering community; knowledge community; literature review; research trends; research agenda;
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1 Suryanto, M. A., Lim, E. B., Sun, A., & Chiang, R. H. L. (2009). Quality-aware collaborative question answering: methods and evaluation. Proceedings of the 2nd ACM International Conference on Web Search and Data Mining, 142-151.
2 Taylor, L. D. (2009, May). Static avatars, social presence, and online answers. Paper presented at the annual meeting of the International Communication Association, Marriott, Chicago, IL.
3 Taylor, R. S. (1986). Value-added processes in information systems. Norwood, NJ: Ablex.
4 Tseng, S., & Fogg, B. J. (1999). Credibility and computing technology. Communications of the ACM, 42(5), 39-44.   DOI   ScienceOn
5 Tutos, A., & Molla, D. (2010). A study on the use of search engines for answering clinical questions. Proceedings of the 4th Australasian Workshop on Health Informatics and Knowledge Management, 108, 61-68.
6 Wang, X., Tu, X., Feng, D., & Zhang, L. (2009). Ranking community answers by modeling question-answer relationships via analogical reasoning. Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information retrieval, 179-186.
7 Wilson, P. (1983). Second-hand knowledge: An inquiry into cognitive authority. Westport, CT: Greenwood Press.
8 Yahoo! Answers Team (2009, October 5). Did you know? Message posted to http://yanswersblog.com/index.php/archives/2009/10/05/did-you-know/
9 Zhang, J., Ackerman, M. A., & Adamic, L. (2007). Expertise networks in online communities: Structure and algorithms. Proceedings of the 16th International Conference on World Wide Web, 221-230.
10 Zheng, X., Hu, Z., Xu, A., & Chen, D. (2012). Algorithm for recommending answer providers in community-based question and answering. Journal of Information Science, 38(1), 3-14.   DOI
11 Oh, S., Warroll, A., & Yi, Y. (2011). Quality evaluation of health answers in Yahoo! Answers: A comparison between experts and users. Proceedings of the 74th Annual Meeting of the American Society for Information Science and Technology, 48(1), 1-3.
12 Page, L., Brin, S., Motwani, R., & Winograd, T. (1998). The Pagerank citation ranking: Bringing order to the Web. Technical report, Stanford Digital Library Technologies Project.
13 Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. Journal of Strategic Information Systems, 11(3/4), 271-295.   DOI   ScienceOn
14 Park, J. B., & Jeong, D. Y. (2004). An empirical study on Web-based question-answer services. Journal of the Korean Society for Information Management, 21(3), 83-98.   DOI   ScienceOn
15 Park, S., Lee, J. H., & Jeon, J. (2006). Evaluation of the documents from the Web-based question and answer service. Journal of the Korean Society for Library and Information Science, 40(2), 299-314.   과학기술학회마을   DOI   ScienceOn
16 Rieh, S. Y., & Danielson, D. R. (2007). Credibility: a multidisciplinary framework. Annual Review of Information Science and Technology, 41, 307-364.   DOI   ScienceOn
17 Rodrigues, E. M., & Milic-Frayling, N. (2009). Socializing or knowledge sharing? Characterizing social intent in community question answering. Proceedings of the 18th ACM Conference on Information and Knowledge Management, 112-1136.
18 Self, C. S. (1996). Credibility. In M. Salwen & D. Stacks (Eds.), An integrated approach to communication theory and research (pp. 421-441). Mahwah, NJ: Lawrence Erlbaum Associates.
19 Jurczyk, P., & Agichtein, E. (2007). Discovering authorities in question answer communities by using link analysis. Proceedings of the 16th ACM Conference on Information and Knowledge Management, 919-922.
20 Kim, B., & Han, I. (2009). The role of trust belief and its antecedents in a community-driven knowledge environment. Journal of the American Society for Information Science and Technology, 60(5), 1012-1026.   DOI   ScienceOn
21 Kim, S., & Oh, S. (2009). Users' relevance criteria for evaluating answers in a social Q&A site. Journal of the American Society for Information Science and Technology, 60(4), 716-727.   DOI   ScienceOn
22 Kim, D. J., Park, G. W., & Lee, S. H. (2010). QualityRank: Measuring authority of answer in Q&A community using social network analysis. Journal of KIISE: Databases, 37(6), 343-350.   과학기술학회마을
23 Kim, M. K. (2007). The current status and problems of a knowledge community in history: Focusing on Naver Knowledge-iN. Sangmyung University. The Graduation School of Education. Master Thesis.
24 Kim, S. (2010). Questioners' credibility judgments of answers in a question answering community site. Information Research, 15(2) paper 432. Retrieved from http://InformationR.net/ir/15-2/paper432.html
25 Kleinberg, J. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5), 604-632.   DOI   ScienceOn
26 Lazar, J., Meiselwitz, G., & Feng, J. (2007). Understanding Web credibility: A synthesis of the research literature. Foundation and Trends in Human-Computer Interaction, 1(2), 139-202.   DOI
27 Liu, Y., & Agichtein, E. (2008). On the evolution of the Yahoo! Answers QA community. Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 737-738.
28 Flanagin, A. J., & Metzger, M. J. (2008). The credibility of volunteered geographic information. GeoJournal, 72(3-4), 137-148.   DOI
29 Gazan, R. (2006). Specialists and synthesists in a question answering community. Proceedings of the 69th Annual Meeting of the American Society for Information Science and Technology. Retrieved from http://eprints.rclis.org/handle/10760/8793
30 Golbeck, J., & Fleischmann, K. R. (2010). Trust in social Q&A: The impact of text and photo cues of expertise. Proceedings of the 73th Annual Meeting of the American Society for Information Science and Technology, 47(1), 1-10.
31 Guo, J., Xu, S., Bao, S., & Yu, Y. (2008). Tapping on the potential of Q&A community by recommending answer providers. Proceedings of the 17th ACM Conference on Information and Knowledge Management, 921-930.
32 Harper, F. M., Moy, D., & Konstan, J. A. (2009). Facts or friends?: Distinguishing informational and conversational questions in social Q&A sites. Proceedings of the ACM Conference on Human Factors in Computing Systems, 759-768.
33 Harper, F. M., Raban, D., Rafaeli, S., & Konstan, J. A. (2008). Predictors of answer quality in online Q&A sites. Proceeding of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems, 865-874.
34 Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion. New Haven, CT: Yale University Press.
35 Jeon, G. Y., Kim, Y. M., & Chen, Y. (2010). Re-examining price as a predictor of answer quality in an online Q&A site. Proceedings of the 28th Annual SIGCHI Conference on Human Factors in Computing Systems, 325-328.
36 Jeon, J., Croft, B., Lee, J. H., & Park, S. (2006). A framework to predict the quality of answers with non-textual features. Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 228-235.
37 Agichtein, E., Castillo C., Donato, D., Gionis, A., & Mishne, G. (2008). Finding high-quality content in social media. Proceedings of the International Conference on Web Search and Data Mining, 183-194.
38 Barry, C. L. (1994). User-defined relevance criteria: An exploratory study. Journal of the American Society for Information Science, 45(3), 149-159.   DOI   ScienceOn
39 Bian J., Liu, Y., Agichtein, E., & Zha, H. (2008). Finding the right facts in the crowd: factoid question answering over social media. Proceedings of the 17th International Conference on World Wide Web, 467-476.
40 Bateman, J. (1999). Modeling the importance of end-user relevance criteria. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 36, 396-406.
41 Bouguessa, M., Dumoulin, B., & Wang, S. (2008). Identifying authoritative actors in question-answering forums: the case of Yahoo! Answers. Proceedings of the 14th International Conference on Knowledge Discovery and Data Mining, 866-874.
42 Chen, Y., Ho, T., & Kim, Y. (2010). Knowledge market design: A field experiment on Google Answers. Journal of Public Economics Theory, 12(4), 641-664.   DOI   ScienceOn
43 Dom, B., & Paranjpe, D. (2008). A bayesian technique for estimating the credibility of question answerers. Proceedings of the Society for Industrial and Applied Mathematics on Data Mining, 399-409.
44 Fichman, P. (2011). A comparative assessment of answer quality on four question answering sites. Journal of Information Science, 37(5), 476-486.   DOI   ScienceOn
45 Flanagin, A. J., & Metzger, M. J. (2000). Perceptions of Internet information credibility. Digital Media, Youth, and Credibility, 77(3), 515-540.
46 Adamic, L. A., Zhang, J., Bakshy, E., & Ackerman, M. S. (2008). Knowledge sharing and Yahoo Answers: Everyone knows something. Proceedings of the 17th International Conference on World Wide Web, 665-674.