Cited by 1,074Media Studies and CommunicationPolitical Conflict and GovernanceComputational and Text Analysis Methods

The Use of Newspaper Data in the Study of Collective Action

Earl, Jennifer, Martin, Andrew, McCarthy, John D., Soule, Sarah A.·2004·Annual Review of Sociology

Abstract

Studying collective action with newspaper accounts of protest events, rare only 20 years ago, has become commonplace in the past decade. A critical literature has accompanied the growth of protest event analysis. The literature has focused on selection bias—particularly which subset of events are covered—and description bias—notably, the veracity of the coverage. The “hard news” of the event, if it is reported, tends to be relatively accurate. However, a newspaper's decision to cover an event at all is influenced by the type of event, the news agency, and the issue involved. In this review, we discuss approaches to detecting bias, as well as ways to factor knowledge about bias into interpretations of protest event data.

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Crossref · 10.1146/annurev.soc.30.012703.110603

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Authors
Earl, J., Martin, A., McCarthy, J. D., & Soule, S. A.
Affiliations
  • University of California, Santa Barbara (US)
  • Pennsylvania State University (US)
  • University of Arizona (US)
Venue
Annual Review of Sociology
Published
2004-08-01
Volume
30
Issue
1
Pages
65-80
ISSN
  • 0360-0572 (ISSN-L)
  • 1545-2115
OpenAlex
W2048569019
Cited by
1,074
References
5
Citations by year
2026: 34 · 2025: 74 · 2024: 43 · 2023: 106 · 2022: 47 · 2021: 60 · 2020: 64 · 2019: 83 · 2018: 88 · 2017: 46 · 2016: 74 · 2015: 51 · 2014: 46 · 2013: 42 · 2012: 39
FWCI
17.85
Type
journal article
Language
en
Open access
closed
Locations
Annual Review of Sociology (publishedVersion)
Topics
  • Social Sciences › Communication › Media Studies and Communication
  • Social Sciences › Sociology and Political Science › Political Conflict and Governance
  • Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Keywords
collective action, protest events, media coverage, selection bias, media bias, protest event analysis, media framing

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