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Cited by 266

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Counting Clicks: Quantification and Variation in Web Journalism in the United States and France

Christin, Angèle·2018·American Journal of Sociology

Abstract

Sociological studies often emphasize the role of metrics in broader processes of convergence and homogenization. Yet numbers can take on different meanings depending on their contexts. This article focuses on the case of journalism, a field transformed by quantification in the form of “clicks.” Drawing on ethnographic material gathered at two news websites—one in New York, the other in Paris—it documents important differences in the uses and meanings assigned to audience metrics in the United States and France. At the U.S. website, editors make significant decisions based on metrics, but staff journalists are relatively unconcerned by them. At the French website, however, editors are conflicted about metrics, but staff writers fixate on them. To understand these differences, this article analyzes how the trajectories of the U.S. and French journalistic fields affect newsroom dynamics. It shows how cultural differences can be reproduced at a time of technological convergence.

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Metadata

Authors
Christin, A.
Venue
American Journal of Sociology
Published
2018-03
Volume
123
Issue
5
Pages
1382-1415
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W2793984024
Cited by
266
References
8
FWCI
57.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Counting Clicks: Quantification and Variation in Web Journalism in the United States and France. https://app.cochat.ai/papers/10.1086/696137
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Christin, A. (2018). Counting Clicks: Quantification and Variation in Web Journalism in the United States and France. American Journal of Sociology. https://doi.org/10.1086/696137

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.