Cited by 1,079Media Studies and CommunicationJournalism and Media StudiesMedia Influence and Politics

Gatekeeping Theory

Shoemaker, Pamela J., Vos, Timothy·2009·Routledge eBooks

Abstract

Gatekeeping is one of the media’s central roles in public life: people rely on mediators to transform information about billions of events into a manageable number of media messages. This process determines not only which information is selected, but also what the content and nature of messages, such as news, will be. Gatekeeping Theory describes the powerful process through which events are covered by the mass media, explaining how and why certain information either passes through gates or is closed off from media attention. This book is essential for understanding how even single, seemingly trivial gatekeeping decisions can come together to shape an audience’s view of the world, and illustrates what is at stake in the process.

Integrity signals

Registry

Crossref · 10.4324/9780203931653

Cites

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Claims the paper makes

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Authors
Shoemaker, P. J., & Vos, T.
Venue
Routledge eBooks
Publisher
Routledge
Published
2009-09-10
OpenAlex
W4254342372
Cited by
1,079
References
0
Citations by year
2026: 118 · 2025: 77 · 2024: 86 · 2023: 86 · 2022: 90 · 2021: 79 · 2020: 92 · 2019: 83 · 2018: 78 · 2017: 66 · 2016: 61 · 2015: 51 · 2014: 35 · 2013: 30 · 2012: 22
FWCI
11.77
Type
book
Language
en
Open access
closed
Locations
Routledge eBooks (publishedVersion)
Topics
  • Social Sciences › Communication › Media Studies and Communication
  • Social Sciences › Communication › Journalism and Media Studies
  • Social Sciences › Sociology and Political Science › Media Influence and Politics
Keywords
gatekeeping, media selection, media coverage, media attention, information filtering, news production, media audiences, media influence on public opinion

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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