Mitigating selective filtering's polarizing effect on Web 2.0 content

David Schuff, Ozgur Turetken, Robert St Louis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

For almost two decades, the Internet and related technologies have made more information available to information users than they can handle. The decentralization of content creation that is a feature of Web 2.0 has only exacerbated this problem. This state of overload, combined with our tendency toward hypothesis-confirming behavior, can result in biased information selection, and threatens both civil discourse and effective decision-making. In this paper, we describe a study of a technique designed to mitigate filtering by enabling content consumers to see a greater diversity of information. The results of our experiment support the notion that the strength of people's opinions can be changed by reading relevant information, but provide only weak support for the effectiveness of categorizing information content. We discuss how the results will guide our future research and inform theory and practice.

Original languageEnglish (US)
Title of host publication17th Americas Conference on Information Systems 2011, AMCIS 2011
Pages1175-1185
Number of pages11
StatePublished - Dec 1 2011
Event17th Americas Conference on Information Systems 2011, AMCIS 2011 - Detroit, MI, United States
Duration: Aug 4 2011Aug 8 2011

Publication series

Name17th Americas Conference on Information Systems 2011, AMCIS 2011
Volume2

Other

Other17th Americas Conference on Information Systems 2011, AMCIS 2011
CountryUnited States
CityDetroit, MI
Period8/4/118/8/11

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Keywords

  • Blogosphere
  • Information filtering
  • Information overload
  • Systems design
  • Web 2.0

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems
  • Library and Information Sciences

Cite this

Schuff, D., Turetken, O., & St Louis, R. (2011). Mitigating selective filtering's polarizing effect on Web 2.0 content. In 17th Americas Conference on Information Systems 2011, AMCIS 2011 (pp. 1175-1185). (17th Americas Conference on Information Systems 2011, AMCIS 2011; Vol. 2).