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Revealing complexities when adult readers engage in the credibility evaluation of social media posts

可靠性 来源可信度 误传 社会化媒体 质量(理念) 心理学 众包 一致性(知识库) 互联网 互联网隐私 社会心理学 应用心理学 计算机科学 万维网 政治学 哲学 计算机安全 认识论 人工智能 法学
作者
Miikka Kuutila,Carita Kiili,Reijo Kupiainen,Eetu Huusko,Junhao Li,Simo Hosio,Mika Mäntylä,Julie Coiro,Kristian Kiili
出处
期刊:Computers in Human Behavior [Elsevier]
卷期号:151: 108017-108017 被引量:8
标识
DOI:10.1016/j.chb.2023.108017
摘要

The internet, including social networking sites, has become a major source of health information for laypersons. Yet, the internet has also become a platform for spreading misinformation that challenges adults’ ability to critically evaluate the credibility of health messages. To better understand the factors affecting credibility judgements, the present study investigates the role of source characteristics, evidence quality, crowdsourcing platform, and prior beliefs of the topic in adult readers’ credibility evaluations of short health-related social media posts. Researchers designed content for the posts concerning five health topics by manipulating source characteristics (source’s expertise, gender, and ethnicity), accuracy of the claims, and evidence quality (research evidence, testimony, consensus, and personal experience) in the posts. Then, accurate and inaccurate posts varying in these other manipulated aspects were computer-generated. Crowdworkers (N = 844) recruited from two platforms were asked to evaluate the credibility of ten social media posts, resulting in 8380 evaluations. Before credibility evaluation, participants’ prior beliefs on the topics of the posts were assessed. Results showed that prior belief consistency and source expertise most affected the perceived credibility of accurate and inaccurate social media posts after controlling for the topic of the post. In contrast, the quality of evidence supporting the health claim mattered relatively little. In addition, the data collection platform had a notable impact, such that posts containing inaccurate claims were much more likely to be rated higher on one platform compared to the other. Implications for credibility evaluation theory and research are discussed.
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