Sean A. Munson
Paul Resnick
ABSTRACT
Is a polarized society inevitable, where people choose to be exposed to only political news and commentary that reinforces their existing viewpoints? We examine the relationship between the numbers of supporting and challenging items in a collection of political opinion items and readers' satisfaction, and then evaluate whether simple presentation techniques such as highlighting agreeable items or showing them first can increase satisfaction when fewer agreeable items are present. We find individual differences: some people are diversity-seeking while others are challenge-averse. For challenge-averse readers, highlighting appears to make satisfaction with sets of mostly agreeable items more extreme, but does not increase satisfaction overall, and sorting agreeable content first appears to decrease satisfaction rather than increasing it. These findings have important implications for builders of websites that aggregate content reflecting different positions.
- Adamic, L. and Glance, N. (2005). The Political Blogosphere and the 2004 US Election: Divided They Blog, Proc. 3rd international workshop on Link Discovery, pp. 36--43. Google Scholar
Digital Library
- Broadbent, D.E., and Broadbent, M.H.P. (1981). "Recency Effects in Visual Memory," Quarterly Journal of Experimental Psychology 33(A): 1--15.Google ScholarCross Ref
- Browne, G.J. and Pitts, M.G. (2004). "Stopping rule use during information search in design problems," Organizational Behavior and Human Decision Processes, 95(2): 208--224.Google ScholarCross Ref
- Cohen, J. (1960). "A coefficient of agreement for nominal scales," Educational and Psychological Measurement 20(1): 7--46.Google ScholarCross Ref
- Frey, D. (1986). "Recent Research on Selective Exposure to Information," Advances in Experimental Social Psychology 19: 41--80.Google ScholarCross Ref
- Garrett, R.K. (2009). "Echo chambers online?: Politically motivated selective exposure among Internet news users," Journal of Computer Mediated Communication, 14(2), 265--285.Google ScholarCross Ref
- Gilbert, E., Bergstrom, T., and Karahalios, K. (2009). "Blogs Are Echo Chambers: Blogs Are Echo Chambers," Proc. of HICSS 2009. Google ScholarDigital Library
- Horrigan, J., Garrett, K., and Resnick, P. (2004). "The Internet and Democratic Debate," Pew Internet and American Life Project, October 27, 2004.Google Scholar
- Kittur, A., Chi, E.H., and Suh, B. (2009). "Crowdsourcing User Studies With Mechanical Turk," Proc. CHI 2009: 453--456. Google ScholarDigital Library
- Landis, J.R. and Koch, G.G. (1977). "The measurement of observer agreement for categorical data," Biometrics 33: 59--174.Google ScholarCross Ref
- Mason, W. and Watts, D.J. (2009). "Financial incentives and the 'performance of crowds,'" SIGKDD Workshop on Human Computation: 77--85. Google ScholarDigital Library
- Munson, S.A., Zhou, D.X., and Resnick, P. (2009). "Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators," Proc. ICWSM 2009.Google Scholar
- Mutz, D.C. and Martin, P.S. (2001). "Facilitating Communication Across Lines of Political Difference: The Role of Mass Media," American Political Science Review 95(1): 97--114.Google ScholarCross Ref
- Nemeth, C.J. (1986). "Differential contributions to majority and minority influence," Psychological Review 93(1): 23--32.Google ScholarCross Ref
- Nemeth, C.J. and Rogers, J. (1996). "Dissent and the search for information," British Journal of Social Psychology 35: 67--76.Google ScholarCross Ref
- Oh, A., Lee, H., and Kim, Y. (2009). "User Evaluation of a System for Classifying and Displaying Political Viewpoints of Weblogs," Proc. ICWSM 2009.Google Scholar
- Park, S., Kang, S., Chung, S., and Song, J. (2009). "NewsCube: delivering multiple aspects of news to mitigate media bias," Proc. CHI 2009. Google ScholarDigital Library
- Sanders, G.S. and Mullen, B. (1982). "Accuracy in perceptions of consensus: Differential tendencies of people with majority and minority positions," European Journal of Social Psychology 13(1): 57--70.Google ScholarCross Ref
- Sears, D.O. and Friedman, J.L. (1967). "Selective Exposure to Information: A Critical Review," Public Opinion Quarterly 31(2): 194--213.Google ScholarCross Ref
- Stromer-Galley, J. (2003). "Diversity of Political Opinion on the Internet: Users' Perspectives," Journal of Computer-Mediated Communication 8(3).Google Scholar
- Sunstein, C. (2001). Republic.com. Princeton University Press, Princeton, NJ. Google ScholarDigital Library
- Sunstein, C. (2002). "The Law of Group Polarization," The Journal of Political Philosophy 10(2): 175--195.Google ScholarCross Ref
Index Terms
- Presenting diverse political opinions: how and how much
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