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Cited by 1,084

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

Believe it or not: Factors influencing credibility on the Web

Wathen, C. Nadine, Burkell, Jacquelyn·2002·Journal of the American Society for Information Science and Technology
DOI 10.1002/asi.10016
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Abstract

This article reviews selected literature related to the credibility of information, including (1) the general markers of credibility, and how different source, message and receiver characteristics affect people's perceptions of information; (2) the impact of information medium on the assessment of credibility; and (3) the assessment of credibility in the context of information presented on the Internet. The objective of the literature review is to synthesize the current state of knowledge in this area, develop new ways to think about how people interact with information presented via the Internet, and suggest next steps for research and practical applications. The review examines empirical evidence, key reviews, and descriptive material related to credibility in general, and in terms of on‐line media. A general discussion of credibility and persuasion and a description of recent work on the credibility and persuasiveness of computer‐based applications is presented. Finally, the article synthesizes what we have learned from various fields, and proposes a model as a framework for much‐needed future research in this area.

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Research works printed but not linked: 41

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Cited by

Metadata

Authors
Wathen, C. N., & Burkell, J.
Venue
Journal of the American Society for Information Science and Technology
Publisher
Wiley
Published
2001-12-03
Volume
53
Issue
2
Pages
134-144
ISSN
  • 1532-2882 (ISSN-L)
  • 1532-2890
DOI
10.1002/asi.10016
OpenAlex
W2058837212
Cited by
1,084
References
5
FWCI
28.56
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)

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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.