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  • Agosto, D.E. (2002a). Bounded rationality and satisficing in young people's web-based decision making. Journal of the American Society for Information Science and Technology, 53 (1), 1627.
  • Alexander, J.E., & Tate, M.A. (1999). Web wisdom: How to evaluate and create information quality on the web. Mahwah, NJ: Lawrence Erlbaum Associates.
  • Anderson, N.H. (1981). Foundations of information integration theory. New York: Academic Press.
  • Asch, S. E. (1951). Effects of group pressure upon the modification distortion of judgments. In H.Guetzkow (Ed.), Groups, leadership and men (pp. 177190). Pittsburgh, PA: Carnegie Press.
  • Asch, S. E. (1955). Opinions and social pressure. Scientific American, 193, 3135.
  • Baron, R.S., Vandello, J.A., & Brunsman, B. (1996). The forgotten variable in conformity research: Impact of task importance on social influence. Journal of Personality and Social Psychology, 71 (5), 915927.
  • Burns, C. (2008). Deadly decisions: How false knowledge sank the Titanic, blew up the shuttle, and led America into war. Amherst, NY: Prometheus Books.
  • Brinol, P., & Petty, R.E. (2009). Persuasion: Insights from the self-validation hypothesis. In M.P.Zanna (Ed.), Advances in experimental social psychology (Vol. 41, pp. 69118). London: Elsevier.
  • Byerly, G., & Brodie, C.S. (2005, April). Internet (and/or institutional) credibility and the user. Paper Presented at the Internet Credibility and the User Symposium conducted at the University of Washington, Seattle, WA.
  • Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39 (5), 752766.
  • Corritore, C.L., Kracher, B., & Wiedenbeck, S. (2003). Online trust: Concepts, evolving themes, a model. International Journal of Human-Computer Studies, 58, 737758.
  • Deutsch, M., & Gerard, H.B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51, 629636.
  • Dieberger, A., Dourish, P., Hook, K., Resnick, P., & Wexelblat, A. (2000, December). Social navigation: Techniques for building more usable systems. Interactions, 7 (6), 3645.
  • Drapeau, M. (2009). Trust, but verify web 2.0 sources. Federal Computer Week. Retrieved July 19, 2009 from http://www.fcw.com/Articles/2009/07/20/COMMENT-Drapeau-info-sharing-and-rumormill.aspx.
  • Duck, S.W., & Baggaley, J. (1975). Audience reaction and its effect on perceived expertise. Communication Research, 2 (1), 7985.
  • Dutta-Bergman, M. (2003). Trusted online sources of health information: Differences in demographics, health beliefs, and health-information orientation. Journal of Medical Internet Research, 5 (3), Paper e21.
  • Eysenbach, G., & Kohler, C. (2002). How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews. British Medical Journal, 324, 573577.
  • Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117140.
  • Fink-Shamit, N., & Bar-Ilan, J. (2008, December). Information quality assessment on the web – an expression of behaviour. Information Research, 13 (4), Paper 357. Retrieved March 20, 2009 from http://informationr.net/ir/13–4/paper357.html.
  • Fogg, B.J., & Tseng, H. (1999). The elements of computer credibility. Proceedings of CHI '99, Pittsburgh, PA: USA, 8087.
  • Fogg, B.J., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., et al. (2001). What makes web sites credible? A report on a large quantitative study. Proceedings of the SIGCHI Annual Conference, 3 (1), 6168.
  • Fox, S. (2006, October 29). Online health search 2006. Washington, DC: Pew Internet and American Life Project.
  • Fox, S., & Jones, S. (2009, June). The social life of health information: Americans' pursuit of health takes place within a widening network of both online and offline sources. Washington, D.C.: Pew Internet and American Life Project.
  • Giles, J. (2005). Internet encyclopaedias go head to head. Nature, 438 (15), 900901.
  • Grifantini, K. (2009, September 16). Can you trust crowd wisdom? Researchers say online recommendation systems can be distorted by a minority of users. Technology Review. Retrieved September 18, 2009 from http://www.technologyreview.com/web/23477/?a=f.
  • Gugerty, L., Billman, D., Pirolli, P., & Elliott, A. (2007). An exploratory study of the effect of domain knowledge on internet search behavior: The case of diabetes. Proceedings of the Human Factors and Ergonomics Society, 51, 775779.
  • Hardey, M. (1999). Doctor in the house: The internet as a source of lay health knowledge and the challenge to expertise. Sociology of Health & Illness, 21 (6), 820835.
  • Hart, A., Henwood, F., & Wyatt, S. (2004). The role of the internet in patient-practitioner relationships: Findings from a qualitative research study. Journal of Medical Internet Research, 6 (3), Paper e36.
  • Hilligoss, B., & Rieh, S.Y. (2008). Developing a unifying framework of credibility assessment: Construct, heuristics, and interaction in context. Information Processing and Management, 44, 14671484.
  • Hitlin, P., & Rainie, L. (2004, October). Online rating systems: 33 million American internet users have reviewed or rated something as part of an online rating system. Washington, DC: Pew Internet and American Life Project.
  • Holscher, C., & Strube, G. (2000). Web search behavior of internet experts and newbies. Computer Networks, 33, 337346.
  • Hovland, C.I., Janis, I.L., & Kelley, J.J. (1953). Communication and persuasion: Psychological studies of opinion change. New Haven, CT: Yale University Press.
  • Hovland, C.I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. The Public Opinion Quarterly, 15 (4), 635650.
  • Jansen, B.J., & Spink, A. (2003). An analysis of web documents retrieved and viewed. Proceedings of the 4th International Conference on Internet Computing, Las Vegas, NV, 6569.
  • Jenkins, C., Corritore, C.L., & Wiedenbeck, S. (2003). Patterns of information seeking on the web: A qualitative study of domain expertise and web expertise. IT & Society, 1 (3), 6489.
  • Kelly, D. (2005). Implicit feedback: Using behavior to infer relevance. In A.Spink, & C.Cole (Eds.), New directions in cognitive information retrieval (pp. 169186). The Netherlands: Springer.
  • Kelley, H.H., & Woodruff, C.L. (1954). Members' reactions to apparent group approval of a counternorm communication. Journal of Abnormal and Social Psychology, 52, 6774.
  • Kennedy, G., Dalgarno, B., Gray, K., Judd, T., Waycott, J., Bennett, S., et al. (2007). The net generation are not big users of web 2.0 technologies: Preliminary findings. In ICT: Providing choices for learners and learning. Proceedings ascilite Singapore 2007. Retrieved August 12, 2009 from http://www.ascilite.org.au/conferences/singapore07/procs/kennedy.pdf.
  • Kim, Y.A., & Srivastava, J. (2007, August). Impact of social influence in e-commerce decision making. Paper Presented at the ICEC Conference, Minneapolis, MN: USA.
  • Landy, D. (1972). The effects of an overheard audience's reaction and attractiveness on opinion change. Journal of Experimental Social Psychology, 8 (3), 276288.
  • Lau, A., & Coiera, E.W. (2008). Impact of web searching and social feedback on consumer decision making: A prospective online experiment. Journal of Medical Internet Research, 10 (1), Paper e2.
  • Lee, J.D., & See, K.A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46 (1), 5080.
  • Lenhart, A., Madden, M., & Hitlin, P. (2005). Teens and technology: Youth are leading the transition to a fully wired and mobile nation. Washington, DC: Pew Internet and American Life Project.
  • Lindgaard, G., Fernandes, G., Dudek, C., & Brown, J. (2006, March). Attention web designers: You have 50 milliseconds to make a good first impression Behavior & Information Technology, 25 (2), 115126.
  • Mackay, C. (1841). Extraordinary popular delusions and the madness of crowds. London: George G. Harrap & Co.
  • McLuhan, M. (1964). Understanding media: The extensions of man. New York: McGraw-Hill.
  • Metzger, M.J. (2005, April). Understanding how users make sense of credibility: A review of the state of our knowledge and recommendations for theory, policy, and practice. Paper Presented at the Internet Credibility and the User Symposium at the University of Washington, Seattle, WA.
  • Metzger, M.J. (2007). Making sense of credibility on the web: Models for evaluating online information and recommendations for future research. Journal of the American Society for Information Science and Technology, 58 (13), 20782091.
  • Metzger, M.J., & Flanagin, A.J. (Eds.). (2008). Digital media, youth, and credibility. Cambridge, MA: MIT Press.
  • Metzger, M. J., Flanagin, A. J., Eyal, K., Lemus, D. R., & McCann, R. M. (2003). Credibility for the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment. Communication Yearbook, 27, 293336.
  • Miller, N. (2005, January). Wikipedia and the disappearing “author”. ETC, 62 (1), 3740.
  • Nielsen, J. (2006). F shaped pattern for reading web content. Retrieved May 12, 2010 from http://www.useit.com/alertbox/reading_pattern.html.
  • O'Reilly, T. (2005, September 30). What is web 2.0? Design patterns and business models for the next generation of software. Retrieved June 20, 2009 from http://oreilly.com/web2/archive/what-is-web-20.html.
  • Palfrey, J., & Gasser, U. (2008). Born digital: Understanding the first generation of digital natives. New York: Basic Books.
  • Peterson, G., Aslani, P., & Williams, K.A. (2003). How do consumers search for and appraise information on medicines on the internet? A qualitative study using focus groups. Journal of Medical Internet Research, 5 (4), Paper e33.
  • Rafaeli, S., & Noy, A. (2002). Online auctions, messaging, communication, and social facilitation: A simulation and experimental evidence. European Journal of Information Systems, 11, 196207.
  • Resnick, P., & Varian, H.R. (1997, March). Recommender systems. Communications of the ACM, 40 (3), 5658.
  • Resnick, P., Zeckhauser, R., Friedman, E., & Kuwabara, K. (2000, December). Reputation systems. Communications of the ACM, 43 (12), 4548.
  • Robins, D., & Holmes, J. (2008). Aesthetics and credibility in web site design. Information Processing and Management, 44, 386399.
  • Sarasohn-Kahn, J. (2008, April). The wisdom of patients: Health care meets online social media. Report prepared for the California HealthCare Foundation. Retrieved May 15, 2009 from http://www.chcf.org/topics/chronicdisease/index.cfm?itemID=133631.
  • Shardanand, U., & Maes, P. (1995). Social information filtering: Algorithms for automating “word of mouth”. Paper Presented at CHI, Retrieved May 12, 2009 from http://sigchi.org/chi95/proceedings/papers/us_bdy.htm.
  • Surowiecki, J. (2005). The wisdom of crowds. New York: Anchor Books.
  • Tormala, Z.L., & Petty, R.E. (2004). Source credibility and attitude certainty: A metacognitive analysis of resistance to persuasion. Journal of Consumer Psychology, 14 (4), 427442.
  • Walther, J.B., Wang, Z., & Loh, T. (2004). The effect of top-level domains and advertisements on health web site credibility. Journal of Medical Internet Research, 6 (3), Paper e24.
  • Wang, Z., Walther, J.B., Pingree, S., & Hawkins, R.P. (2008). Health information, credibility, homophily, and influence via the internet: Web sites versus discussion groups. Health Communication, 23, 358368.
  • Wathen, C.N., & Burkell, J. (2002). Believe it or not: Factors influencing credibility on the web. Journal of the American Society for Information Science and Technology, 53 (2), 134144.
  • Zalesny, M.D., & Ford, J.K. (1990). Extending the social information processing perspective: New links to attitudes, behaviors, and perceptions. Organizational Behavior and Human Decision Processes, 47, 205246.