2023
DOI: 10.1108/intr-07-2022-0556
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Implications of source, content, and style cues in curbing health misinformation and fake news

Louisa Ha,
Debipreeta Rahut,
Michael Ofori
et al.

Abstract: PurposeTo 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/approachThis 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 experi… Show more

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Cited by 3 publications
(1 citation statement)
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“…In addition, the next two papers on this theme shed light on the individuals' misinformation evaluation process. Ha et al (2023) conduct a multimethod study and identify the cues that predict individuals' truthfulness ratings of health news. The authors find that source and style cues predict truthfulness better than content cues, with source credibility being the most important cue.…”
Section: A Summary Of the Special Issuementioning
confidence: 99%
“…In addition, the next two papers on this theme shed light on the individuals' misinformation evaluation process. Ha et al (2023) conduct a multimethod study and identify the cues that predict individuals' truthfulness ratings of health news. The authors find that source and style cues predict truthfulness better than content cues, with source credibility being the most important cue.…”
Section: A Summary Of the Special Issuementioning
confidence: 99%