2021
DOI: 10.3390/ijerph18031345
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Determinants of the Perceived Credibility of Rebuttals Concerning Health Misinformation

Abstract: Users provide and share information with a broad audience on different forms of social media; however, information accuracy is questionable. Currently, the health information field is severely affected by misinformation. Thus, addressing health misinformation is integral for enhancing public health. This research can help relevant practitioners (i.e., government officials, medical and health service personnel, and educators) find the most effective correctional interventions for governing health misinformation… Show more

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Cited by 26 publications
(24 citation statements)
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References 65 publications
(80 reference statements)
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“…Most scholarly attention has focused on fake news on social media in terms of theoretical models of fake news diffusion ( Tambuscio et al, 2015 ), simulation models of fake news propagation ( Hui et al, 2020 ; Shrivastava et al, 2020 ; Xing et al, 2021 ), methods for fake news detection ( Ozbay & Alatas, 2020 ; Zhang & Ghorbani, 2020 ), credibility evaluation ( Ciampaglia et al, 2015 ; Sui & Zhang, 2021 ), and interventions to curtail the spread of fake news ( Hui et al, 2020 ; Pennycook et al, 2020 ). Rebuttals have been a subject of growing scholarly attention as a possible approach to mitigating online fake news ( Pal et al, 2020 ).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
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“…Most scholarly attention has focused on fake news on social media in terms of theoretical models of fake news diffusion ( Tambuscio et al, 2015 ), simulation models of fake news propagation ( Hui et al, 2020 ; Shrivastava et al, 2020 ; Xing et al, 2021 ), methods for fake news detection ( Ozbay & Alatas, 2020 ; Zhang & Ghorbani, 2020 ), credibility evaluation ( Ciampaglia et al, 2015 ; Sui & Zhang, 2021 ), and interventions to curtail the spread of fake news ( Hui et al, 2020 ; Pennycook et al, 2020 ). Rebuttals have been a subject of growing scholarly attention as a possible approach to mitigating online fake news ( Pal et al, 2020 ).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The rebuttal of fake news belongs to the category of persuasion information, which aims to correct the public's misconceptions and provide knowledge about the truth of matters ( Sui & Zhang, 2021 ). The ELM is among the most authoritative dual-process theories and describes the change in attitudes in the field of knowledge persuasion ( Petty & Cacioppo, 1986 , 2012 ), with “attitude” defined as an evaluation of a target object, person, behavior, or event on a scale reflecting some degree of good or bad, such as favor/disfavor, approval/disapproval, liking/disliking, or similar reactions ( Eagly & Chaiken, 1993 ; Griffith et al, 2018 ).…”
Section: Theoretical Backgroundmentioning
confidence: 99%
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“…Some of the studies explored if SMPs were used during this period to disseminate information (Seltzer et al, 2017) and which technologies and strategies can be implemented to prevent (Teoh et al, 2018) and control certain diseases. Finally, 8 (11%) studies explored tools related to health-related fake news, seeking to understand which resources are more efficient to contain the fake news on SMPs (Gesser-Edelsburg et al, 2018; Sui and Zhang, 2021; Vraga and Bode, 2018).…”
Section: Resultsmentioning
confidence: 99%