2023
DOI: 10.1016/j.chb.2022.107439
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What message features influence the intention to share misinformation about COVID-19 on social media? The role of efficacy and novelty

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Cited by 31 publications
(15 citation statements)
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“…Inciting emotions is an essential feature of misinformation (Rochlin, 2017;Zhang et al, 2022a). Although a few studies have found a negative correlation between negative emotions and misinformation sharing (Song et al, 2023), most studies have found that negative emotions promote misinformation sharing (Ku sen and Strembeck, 2018;Pr€ ollochs et al, 2021;Wang et al, 2020a;Zhou et al, 2021b). One possible explanation is that the former is based on a randomized online experiment in which participants are randomly assigned messages.…”
Section: Factors Influencing the Spread Of Misinformationmentioning
confidence: 99%
See 1 more Smart Citation
“…Inciting emotions is an essential feature of misinformation (Rochlin, 2017;Zhang et al, 2022a). Although a few studies have found a negative correlation between negative emotions and misinformation sharing (Song et al, 2023), most studies have found that negative emotions promote misinformation sharing (Ku sen and Strembeck, 2018;Pr€ ollochs et al, 2021;Wang et al, 2020a;Zhou et al, 2021b). One possible explanation is that the former is based on a randomized online experiment in which participants are randomly assigned messages.…”
Section: Factors Influencing the Spread Of Misinformationmentioning
confidence: 99%
“…The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/0737-8831.htm measures (Huo et al, 2018;Song et al, 2021Song et al, , 2023Zhao et al, 2022). Given the positive relationship between users' knowledge acquisition behavior and information sharing (Wang and Xie, 2022), the viral spread of misinformation may affect the accuracy of online learning, and it needs to be taken seriously.…”
Section: Introductionmentioning
confidence: 99%
“…In COVID-19 and non-COVID-19 contexts, evidence shows that messages that are perceived to be credible are also more likely to be shared ( Song et al, 2023 ; Stefanone et al, 2019 ). Sharing behavior underpins the extent to which extent to which information spreads or goes “viral” on social media, potentially influencing behavioral intentions ( Alhabash & McAlister, 2015 ).…”
Section: Cognitive and Behavioral Impacts Of Corrective Informationmentioning
confidence: 99%
“…Apart from exploring strategic measures to apply in each phase, another facet of research in this domain is how misinformation is disseminated on social media platforms such as Twitter. Features such as novelty and efficacy (Song et al, 2023) as well as the salience and trustworthiness of the source (Di Domenico et al, 2021) affect the decision to share misinformation on social media. In political contexts that are characterized through social division such as in the case of Brazil, perceiving the political opponent groups as more susceptible to believing in misinformation can make it more difficult to approach these issues (Yang and Tian, 2021).…”
Section: Misinformation and Internet Culturementioning
confidence: 99%
“…Apart from exploring strategic measures to apply in each phase, another facet of research in this domain is how misinformation is disseminated on social media platforms such as Twitter. Features such as novelty and efficacy (Song et al. , 2023) as well as the salience and trustworthiness of the source (Di Domenico et al.…”
Section: Introductionmentioning
confidence: 99%