The DOI matches its Crossref record.
Measuring the Concept of Credibility
Overview
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Integrity signals
Registry
Cites
Statistics
Verification
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Self-check
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Citations
Cited by
College student Web use, perceptions of information credibility, and verification behavior
Metzger, M. J., Flanagin, A. J., & Zwarun, L. (2003) · Computers & Education · doi:10.1016/s0360-1315(03)00049-6 · Cited by 448
Jensen, J. D. (2008) · Human Communication Research · doi:10.1111/j.1468-2958.2008.00324.x · Cited by 298
Online News Exposure and Trust in the Mainstream Media: Exploring Possible Associations
Tsfati, Y. (2010) · American Behavioral Scientist · doi:10.1177/0002764210376309 · Cited by 258
Armstrong, C. L., & McAdams, M. J. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01448.x · Cited by 179
Web credibility assessment: Conceptualization, operationalization, variability, and models
Choi, W., & Stvilia, B. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23543 · Cited by 168
Ardèvol-Abreu, A., & Gil de Zúñiga, H. (2017) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699016654684 · Cited by 153
Effects of Disinformation Using Deepfake: The Protective Effect of Media Literacy Education
Hwang, Y., Ryu, J. Y., & Jeong, S.-H. (2021) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2020.0174 · Cited by 148
Chang, C. (2015) · Science Communication · doi:10.1177/1075547015597914 · Cited by 94
Lan, D. H., & Tung, T. M. (2024) · Cogent Social Sciences · doi:10.1080/23311886.2024.2302216 · Cited by 55
Yang, S., & Zhang, W. (2022) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2021.0037 · Cited by 49
College students’ credibility judgments and heuristics concerning Wikipedia
Lim, S. (2013) · Information Processing & Management · doi:10.1016/j.ipm.2012.10.004 · Cited by 48
Salaudeen, M. A., & Onyechi, N. (2020) · Cogent Arts & Humanities · doi:10.1080/23311983.2020.1837461 · Cited by 43
“This was achieved using a 10-item credibility measurement scale partly adopted from Gaziano and McGrath (1986) credibility scale.”
BackgroundMethodSalaudeen, M. A. (2022) · Journalism Practice · doi:10.1080/17512786.2021.1892517 · Cited by 20
Measuring Source Credibility of Social Engineering Attackers on Facebook
Algarni, A., Xu, Y., & Chan, T. (2016) · 2016 49th Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.460 · Cited by 18
Search & Verify: Misinformation and source evaluations in Internet search results
Dennis, A. R., Moravec, P. L., & Kim, A. (2023) · Decision Support Systems · doi:10.1016/j.dss.2023.113976 · Cited by 16
Metadata
- Authors
- Gaziano, C., & McGrath, K.
- Venue
- Journalism Quarterly
- Publisher
- SAGE Publications
- Published
- 1986-09
- Volume
- 63
- Issue
- 3
- Pages
- 451-462
- ISSN
- 0196-3031 (ISSN-L)
- 0022-5533
- OpenAlex
- W1984640266
- Cited by
- 747
- References
- 0
- FWCI
- 14.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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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.