skip to main content
10.1145/1940761.1940932acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiconferenceConference Proceedingsconference-collections
research-article

Modeling citizenship information behavior and political action

Published:08 February 2011Publication History

ABSTRACT

My research examines one of the cornerstones of democratic systems, the notion of an informed public [Kranich 2001]. Democratic ideals exalt the "good citizen," implying that citizens be fully informed to fulfill their obligations. Although scholars have recognized the importance of information to citizenship, there are opportunities to further examine the relationship between information behavior and democratic action. This research provides a persuasive link between understanding citizen information behavior and political outcomes.

According to a recent Pew report, 59% of Americans get offline or online news on a typical day [Purcell et al. 2010); however only 19% of Internet users become politically active online [Smith et al. 2009]. What this suggests is that rich information environments do not necessarily lead to political action. An important question is why increased citizen online information practices have not resulted in greater information use for political action. Savolanien [2006] argues that information use is not well-studied and has largely focused on information seeking; there is a "dearth of theoretical and methodological approaches to information use" (p. 1116).

This research models citizen information behavior and online political action. It applies an interdisciplinary approach that integrates and extends current research in information and political behavior as it relates to citizenship and political participation in the United States. A research model was developed that explains how citizens become politically active in an online context. Standard linear models of the antecedents of political behavior [Boulianne 2009] and the comprehensive model of information seeking [Johnson 2003] are applied to inform a heuristic model that assumes that having political information and knowledge leads to politically active citizenship. In other words, political information is the "currency of citizenship" [Delli Carpini AND Keeter 1996] that links citizen information seeking and information use.

Two national surveys conducted by the Pew Internet and American Life Project are used to test the heuristic model. Surveys utilized a random digital sample of telephone numbers selected from exchanges in the continental United States. These surveys represent national probability samples of more than 1000 respondents which are rare in information behavior research [Case 2007].

Logistic and ordinal regression procedures using maximum likelihood estimates comprise the secondary analysis of the survey data. Findings reveal three important antecedents for understanding online citizen information needs and use: frequency of Internet use, political beliefs, and political interest.

Socioeconomic states (SES) variables and frequent Internet use contribute significantly for acquiring political information online. Political beliefs constrain citizen information seeking and lead to increased evidence of information avoidance. Political interest is the strongest predictor for explaining citizen political information use and political action. Based on this empirical analysis, the road to becoming an Internet user to a well-informed citizen to an actively engaged citizen is a challenge. The Internet does reduce the cost of citizen political information behavior but other factors such as motivation and beliefs need to be included if the ideals of an informed public are to be realized through information use and political action.

References

  1. Kranich, N. C. 2001. Libraries, the Internet, and democracy. In Libraries & democracy: The cornerstones of liberty, N. C. Kranich Ed. American Library Association, Chicago, IL, 83--95.Google ScholarGoogle Scholar
  2. Purcell, K., Rainie, L., Mitchell, A, Rosenstiel, T., and Olmstead, K. 2010. Understanding the Participatory News Consumer. Pew Internet & American Life Project, Washington, DC. http://pewinternet.org/Reports/2010/Online-News.aspxGoogle ScholarGoogle Scholar
  3. Smith, A., Schlozman, K. L., Verba, S., and Brady, H. E. 2009. The Internet and civic engagement. Pew Internet & American Life Project, Washington, DC. http://www.pewinternet.org/Reports/2009/15--The-Internet-and-Civic-Engagement.aspxGoogle ScholarGoogle Scholar
  4. Savolainen, R. 2006. Information use as gap-bridging: The viewpoint of sense-making methodology. Journal of the American Society for Information Science and Technology 57(8), 1116--1125. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Boulianne, S. 2009. Does Internet use affect engagement? A meta-analysis of research. Political Communication 26(2), 193--211.Google ScholarGoogle ScholarCross RefCross Ref
  6. Johnson, J. D. 2003. On contexts of information seeking. Information Processing & Management 39(5), 735--760. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Delli Carpini, M. X., and Keeter, S. 1996. What Americans know about politics and why it matters. Yale University Press, New Haven.Google ScholarGoogle Scholar
  8. Case, D. O. 2007. Looking for information: A survey of research on information seeking, needs, and behavior (2nd ed.). Elsevier/Academic Press, Amsterdam; Boston.Google ScholarGoogle Scholar

Index Terms

  1. Modeling citizenship information behavior and political action

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      iConference '11: Proceedings of the 2011 iConference
      February 2011
      858 pages
      ISBN:9781450301213
      DOI:10.1145/1940761

      Copyright © 2011 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 8 February 2011

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
    • Article Metrics

      • Downloads (Last 12 months)5
      • Downloads (Last 6 weeks)2

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader