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Cited by 530

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Conceptualizing sources in online news

Sundar, S.·2001·Journal of Communication

Abstract

This study attempts a new conceptualization of communication “sources” by proposing a typology of sources that would apply not only to traditional media but also to new online media. Ontological rationale for the distinctions in the typology is supplemented by psychological evidence via an experiment that investigated the effects of different types of source attributions upon receivers' perception of online news content. Participants (N=48) in a 4-condition, between-participants experiment read 6 identical news stories each through an online service. Participants were told that the stories were selected by 1 of 4 sources: news editors, the computer terminal on which they were accessing the stories, other audience members (or users) of the online news service, or (using a pseudo-selection task) the individual user (self). After reading each online news story, all participants filled out a paper-and-pencil questionnaire indicating their perceptions of the story they had just read. In confirmation of the distinctions made in the typology, attribution of identical content to 4 different types of online sources was associated with significant variation in news story perception. Theoretical implications of the results as well as the typology are discussed.

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Metadata

Authors
Sundar, S.
Venue
Journal of Communication
Published
2001-03-01
Volume
51
Issue
1
Pages
52-72
ISSN
  • 0021-9916 (ISSN-L)
  • 1460-2466
OpenAlex
W2042922813
Cited by
530
References
5
FWCI
21.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Conceptualizing sources in online news. https://app.cochat.ai/papers/10.1093/joc/51.1.52
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Sundar, S. (2001). Conceptualizing sources in online news. Journal of Communication. https://doi.org/10.1093/joc/51.1.52

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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.