The use of newspaper data in the study of collective action

Jennifer Earl, Andrew Martin, John D. McCarthy, Sarah A. Soule

Research output: Contribution to journalReview article

460 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)65-80
Number of pages16
JournalAnnual Review of Sociology
Volume30
DOIs
StatePublished - Sep 9 2004

Fingerprint

collective behavior
newspaper
event
protest
trend
news agency
news
coverage
interpretation

All Science Journal Classification (ASJC) codes

  • Sociology and Political Science

Cite this

Earl, Jennifer ; Martin, Andrew ; McCarthy, John D. ; Soule, Sarah A. / The use of newspaper data in the study of collective action. In: Annual Review of Sociology. 2004 ; Vol. 30. pp. 65-80.
@article{eaf57c8b2ae04e6282b102891b03b2fb,
title = "The use of newspaper data in the study of collective action",
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.",
author = "Jennifer Earl and Andrew Martin and McCarthy, {John D.} and Soule, {Sarah A.}",
year = "2004",
month = "9",
day = "9",
doi = "10.1146/annurev.soc.30.012703.110603",
language = "English (US)",
volume = "30",
pages = "65--80",
journal = "Annual Review of Sociology",
issn = "0360-0572",
publisher = "Annual Reviews Inc.",

}

The use of newspaper data in the study of collective action. / Earl, Jennifer; Martin, Andrew; McCarthy, John D.; Soule, Sarah A.

In: Annual Review of Sociology, Vol. 30, 09.09.2004, p. 65-80.

Research output: Contribution to journalReview article

TY - JOUR

T1 - The use of newspaper data in the study of collective action

AU - Earl, Jennifer

AU - Martin, Andrew

AU - McCarthy, John D.

AU - Soule, Sarah A.

PY - 2004/9/9

Y1 - 2004/9/9

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=4344623219&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=4344623219&partnerID=8YFLogxK

U2 - 10.1146/annurev.soc.30.012703.110603

DO - 10.1146/annurev.soc.30.012703.110603

M3 - Review article

AN - SCOPUS:4344623219

VL - 30

SP - 65

EP - 80

JO - Annual Review of Sociology

JF - Annual Review of Sociology

SN - 0360-0572

ER -