Implications of source, content, and style cues in curbing health misinformation and fake news
ISSN: 1066-2243
Article publication date: 16 May 2023
Issue publication date: 20 November 2023
Abstract
Purpose
To provide human judgment input for computer algorithm development, this study examines the relative importance of source, content, and style cues in predicting the truthfulness ratings of two common types of online health information: news stories and institutional news releases.
Design/methodology/approach
This study employed a multi-method approach using (1) a manual content analysis of 400 randomly selected online health news stories and news releases from HealthNewsReview.org and (2) an online experiment comparing truthfulness ratings between news stories and news releases.
Findings
Using content analysis, the authors found significant differences in the importance of source, content, and style cues in predicting truthfulness ratings of news stories and news releases: source and style cues predicted truthfulness ratings better than content cues. In the experiment, source credibility was the most important predictor of truthfulness ratings, controlling for individual differences. Experts have higher ratings for news media stories than news releases and lay people have no differences in rating the two news formats.
Practical implications
It is important for health educators to curb consumer trust in misinformation and increase health information literacy. Rather than solely reporting scientific evidence, educators should focus on addressing cues people use to judge the truthfulness of health information.
Originality/value
This is the first study that directly compares human judgments of health news stories and news releases. Using both the breadth of content analysis and experimental causality testing, the authors evaluate the relative importance of source, content, and style cues in predicting truthfulness ratings.
Keywords
Acknowledgements
An earlier version of this paper was presented to the Health Communication Division of the 2022 National Communication Association Annual Conference.
Citation
Ha, L., Rahut, D., Ofori, M., Sharma, S., Harmon, M., Tolofari, A., Bowen, B., Lu, Y. and Khan, A. (2023), "Implications of source, content, and style cues in curbing health misinformation and fake news", Internet Research, Vol. 33 No. 5, pp. 1949-1970. https://doi.org/10.1108/INTR-07-2022-0556
Publisher
:Emerald Publishing Limited
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