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Cited by 288

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Discussions in the comments section: Factors influencing participation and interactivity in online newspapers’ reader comments

Open access
Weber, Patrick·2014·New Media & Society

Abstract

Posting comments on the news is one of the most popular forms of user participation in online newspapers, and there is great potential for public discourse that is associated with this form of user communication. However, this potential arises only when several users participate in commenting and when their communication becomes interactive. Based on an adaption of Galtung and Ruge’s theory of newsworthiness, we hypothesized that a news article’s news factors affect both participation levels and interactivity in a news item’s comments section. The data from an online content analysis of political news are consistent with the hypotheses. This article explores the ways in which news factors affect participation levels and interactivity, and it discusses the theoretical, normative, and practical implications of those findings.

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Metadata

Authors
Weber, P.
Venue
New Media & Society
Published
2013-07-08
Volume
16
Issue
6
Pages
941-957
ISSN
  • 1461-4448 (ISSN-L)
  • 1461-7315
OpenAlex
W2158999518
Cited by
288
References
36
FWCI
41.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Discussions in the comments section: Factors influencing participation and interactivity in online newspapers’ reader comments. https://app.cochat.ai/papers/10.1177/1461444813495165
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Weber, P. (2014). Discussions in the comments section: Factors influencing participation and interactivity in online newspapers’ reader comments. New Media & Society. https://doi.org/10.1177/1461444813495165

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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.