Yusuke Yamamoto
ABSTRACT
In this paper, we propose a system for helping users to judge the credibility of Web search results and to search for credible Web pages. Conventional Web search engines present only titles, snippets, and URLs for users, which give few clues to judge the credibility of Web search results. Moreover, ranking algorithms of the conventional Web search engines are often based on relevance and popularity of Web pages. Towards credibility-oriented Web search, our proposed system provides users with the following three functions: (1) calculation and visualization of several scores of Web search results on the main credibility aspects, (2) prediction of user's credibility judgment model through user's credibility feedback for Web search results, and (3) re-ranking of Web search results based on user's predicted credibility model. Experimental results suggest that our system enables users - in particular, users with knowledge about search topics - to find credible Web pages from a list of Web search results more efficiently than conventional Web search interfaces.
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- B. T. Adler and L. de Alfaro. A Content-Driven Reputation System for the Wikipedia. In Proceedings of the 16th international conference on World Wide Web (WWW 2007), pages 261--270, 2007. Google Scholar
Digital Library
- E. Agichtein, C. Castillo, D. Donato, A. Gionis, and G. Mishne. Finding High-Quality Content in Social Media. In Proceedings of the international conference on Web search and web data mining (WSDM 2008), pages 183--194, 2008. Google ScholarDigital Library
- J. Cho, S. Roy, and R. E. Adams. Page Quality: in Search of an Unbiased Web Ranking. In Proceedings of the 2005 ACM SIGMOD international conference on Management of data (SIGMOD 2005), pages 551--562, 2005. Google ScholarDigital Library
- P. Denning, J. Horning, D. Parnas, and L. Weinstein. Wikipedia Risks. Communication of ACM, 48(12):152--152, 2005. Google ScholarDigital Library
- M. Eisend. Source Credibility Dimensions in Marketing Communication - A Generalized Solution. Journal of Empirical Generalisations in Marketing Science, 10(2):1--33, 2006.Google Scholar
- R. Ennals, B. Trushkowsky, and J. M. Agosta. Highlighting Disputed Claims on the Web. In Proceedings of the 19th international conference on World wide web (WWW 2010), pages 341--350, 2010. Google ScholarDigital Library
- G. Erkan and D. Radev. LexRank: Graph-based lexical centrality as salience in text summarization. Journal of Artificial Intelligence Research, 22(2004):457--479, 2004. Google ScholarDigital Library
- B. J. Fogg, J. Marshall, O. Laraki, A. Osipovich, C. Varma, N. Fang, J. Paul, A. Rangnekar, J. Shon, P. Swani, and M. Treinen. What Makes Web Sites Credible? A Report on a Large Quantitative Study. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI 2001), pages 61--68, 2001. Google ScholarDigital Library
- B. J. Fogg and H. Tseng. The Elements of Computer Credibility. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI 1999), pages 80--87, 1999. Google ScholarDigital Library
- R. Guha, R. Kumar, P. Raghavan, and A. Tomkins. Propagation of Trust and Distrust. In Proceedings of the 13th international conference on World Wide Web (WWW 2004), pages 403--412, 2004. Google ScholarDigital Library
- C. Hovland and W. Weiss. The Influence of Source Credibility on Communication Effectiveness. Public Opinion Quarterly, 15(4):635--650, 1951.Google ScholarCross Ref
- Y. Liu, B. Gao, T.-Y. Liu, Y. Zhang, Z. Ma, S. He, and H. Li. BrowseRank: Letting Web Users Vote for Page Importance. In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2008), pages 451--458, 2008. Google ScholarDigital Library
- M. Meola. Chucking the Checklist: A Contextual Approach to Teaching Undergraduates Web-Site Evaluation. portal: Libraries and the Academy, 4(3):331--344, 2004.Google ScholarCross Ref
- M. Metzger, A. Flanagin, K. Eyal, D. Lemus, and R. McCann. Credibility for the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment. Communication yearbook, 27:293--336, 2003.Google ScholarCross Ref
- M. J. Metzger, A. J. Flanagin, and L. Zwarun. College student Web use, perceptions of information credibility, and verification behavior. Computer & Education, 41(3):271--290, 2003. Google ScholarDigital Library
- S. Nakamura, S. Konishi, A. Jatowt, H. Ohshima, H. Kondo, T. Tezuka, S. Oyama, and K. Tanaka. Trustworthiness Analysis of Web Search Results. In Proceedings of the 11th European Conference on Research and Advanced Technology for Digital Libraries (ECDL 2007), pages 38--49, 2007. Google ScholarDigital Library
- M. Nakatani, A. Jatowt, H. Ohshima, and K. Tanaka. Quality Evaluation of Search Results by Typicality and Speciality of Terms Extracted from Wikipedia. In Proceedings of the 14th International Conference on Database Systems for Advanced Applications (DASFAA 2009), pages 570--584, 2009. Google ScholarDigital Library
- R. Petty and J. Cacioppo. The elaboration likelihood model of persuasion. Advances in experimental social psychology, 19(1):123--205, 1986.Google Scholar
- P. Pirolli, E. Wollny, and B. Suh. So You Know You"re Getting the Best Possible Information: A Tool that Increases Wikipedia Credibility. In Proceedings of the 27th international conference on Human factors in computing systems (CHI 2009), pages 1505--1508, 2009. Google ScholarDigital Library
- S. Rieh and D. Danielson. Credibility: A Multidisciplinary Framework. Annual Review of Information Science and Technology, 41(1):307--364, 2007. Google ScholarDigital Library
- S. Y. Rieh. Judgement of Information Quality and Cognitive Authority in the Web. Journal of the American Society for Information Science and Technology, 53(2):145--161, 2002. Google ScholarDigital Library
- G. Salton and C. Buckley. Improving Retrieval Performance by Relevance Feedback. Journal of the American society for information science, 41(4):288--297, 1990.Google Scholar
- E. Sillence, P. Briggs, L. Fishwick, and P. Harris. Trust and Mistrust of Online Health Sites. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI 2004), pages 663--670, 2004. Google ScholarDigital Library
- J. Stiff and P. Mongeau. Persuasive communication. Guilford Publications, 2002.Google Scholar
- B. Suh, E. H. Chi, A. Kittur, and B. A. Pendleton. Lifting the Veil: Improving Accountability and Social Transparency in Wikipedia with WikiDashBoard. In Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems (CHI 2008), pages 1037--1040, 2008. Google ScholarDigital Library
- M. A. Suryanto, E. P. Lim, A. Sun, and R. H. L. Chiang. Quality-Aware Collaborative Question Answering: Methods and Evaluation. In Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM 2009), pages 142--151, 2009. Google ScholarDigital Library
- J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing Search via Automated Analysis of Interests and Activities. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2005), 2005. Google ScholarDigital Library
- B.-Q. Vuong, E.-P. Lim, A. Sun, M.-T. Le, and H. W. Lauw. On Ranking Controversies in Wikipedia: Models and Evaluation. In Proceedings of the international conference on Web search and web data mining (WSDM 2008), pages 171--182, 2008. Google ScholarDigital Library
- X. S. Zheng, I. Chakraborty, J. J.-W. Lin, and R. Rauschenberger. Correlating Low-Level Image Statistics with Users' Rapid Aesthetic and Affective Judgments of Web Pages. In Proceedings of the 27th international conference on Human factors in computing systems (CHI 2009), pages 1--10, 2009. Google ScholarDigital Library
Index Terms
- Enhancing credibility judgment of web search results
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