The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Measuring Message Credibility: Construction and Validation of an Exclusive Scale
Abstract
Despite calls to conceptualize credibility as three separate concepts—source credibility, message credibility, and media credibility—there exists no scale that exclusively measures message credibility. To address this gap, the current study constructs and validates a new scale. Results from a confirmatory factor analysis suggest that message credibility, specifically in the context of news, can be measured by asking participants to rate how well three adjectives describe content: accurate, authentic, and believable. Validity and reliability tests are reported, and contributions to credibility research are discussed.
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Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Running experiments on Amazon Mechanical Turk
Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010) · Judgment and Decision Making · doi:10.1017/s1930297500002205 · Cited by 3,767
Specification, evaluation, and interpretation of structural equation models
Bagozzi, R. P., & Yi, Y. (2012) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-011-0278-x · Cited by 3,735
The Influence of Source Credibility on Communication Effectiveness
Hovland, C. I., & Weiss, W. (1951) · Public Opinion Quarterly · doi:10.1086/266350 · Cited by 3,543
The limited capacity model of mediated message processing
Lang, A. (2000) · Journal of Communication · doi:10.1111/j.1460-2466.2000.tb02833.x · Cited by 2,153 · cited 1×
“Information Processing: As Lang (2000) notes, we have a limited capacity for processing mediated messages.”
BackgroundInside the Turk: Understanding Mechanical Turk as a Participant Pool
Paolacci, G., & Chandler, J. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414531598 · Cited by 2,136
Social and Heuristic Approaches to Credibility Evaluation Online
Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2010.01488.x · Cited by 1,394
Goodwill: A reexamination of the construct and its measurement
McCroskey, J. C., & Teven, J. J. (1999) · Communication Monographs · doi:10.1080/03637759909376464 · Cited by 1,236 · cited 3×
“Along with the media credibility measures we had found, this gave us a list of 75 items, including such varied items as morality (McCroskey & Teven, 1999), passion (Kang & Yang, 2011), and compatibility (Sundar, 2008).”
BackgroundRecommendations for reporting the results of studies of instrument and scale development and testing
Streiner, D. L., & Kottner, J. (2014) · Journal of Advanced Nursing · doi:10.1111/jan.12402 · Cited by 463
Personal profile information as cues of credibility in online travel reviews
Park, H., Xiang, Z., Josiam, B., & Kim, H. (2014) · Anatolia · doi:10.1080/13032917.2013.820203 · Cited by 81
Cited by
Audiences’ acts of authentication in the age of fake news: A conceptual framework
Tandoc, E. C., Ling, R., Westlund, O., Duffy, A., Goh, D., & Zheng Wei, L. (2018) · New Media & Society · doi:10.1177/1461444817731756 · Cited by 312
Do (microtargeted) deepfakes have real effects on political attitudes?
Dobber, T., Metoui, N., Trilling, D., Helberger, N., & de Vreese, C. (2021) · The International Journal of Press/Politics · doi:10.1177/1940161220944364 · Cited by 256
Luo, M., Hancock, J. T., & Markowitz, D. M. (2022) · Communication Research · doi:10.1177/0093650220921321 · Cited by 245
Bryanov, K., & Vziatysheva, V. (2021) · PLOS ONE · doi:10.1371/journal.pone.0253717 · Cited by 211
Vraga, E. K., Kim, S. C., & Cook, J. (2019) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2019.1653102 · Cited by 162
Metadata
- Authors
- Appelman, A., & Sundar, S. S.
- Venue
- Journalism & Mass Communication Quarterly
- Publisher
- SAGE Publications
- Published
- 2015-10-05
- Volume
- 93
- Issue
- 1
- Pages
- 59-79
- ISSN
- 1077-6990 (ISSN-L)
- 2161-430X
- OpenAlex
- W2269213754
- Cited by
- 625
- References
- 10
- FWCI
- 45.60
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
