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

Kuutila, Miikka; Kiili, Carita; Kupiainen, Reijo; Huusko, Eetu; Li, Junhao; Hosio, Simo; Mäntylä, Mika; Coiro, Julie; Kiili, Kristian (2023-02-03)

 
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Revealing_complexities_when_adult_readers_engage.pdf (1.056Mt)
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Kuutila, Miikka
Kiili, Carita
Kupiainen, Reijo
Huusko, Eetu
Li, Junhao
Hosio, Simo
Mäntylä, Mika
Coiro, Julie
Kiili, Kristian
03.02.2023

Computers in Human Behavior
108017
doi:10.1016/j.chb.2023.108017
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-2023120510462

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Peer reviewed
Tiivistelmä
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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Kalevantie 5
PL 617
33014 Tampereen yliopisto
oa[@]tuni.fi | Tietosuoja | Saavutettavuusseloste