{"title":"Correction by distraction: how high-tempo music enhances medical experts’ debunking TikTok videos","authors":"Mengyu Li, Gaofei Li, Sijia Yang","doi":"10.1093/jcmc/zmae007","DOIUrl":null,"url":null,"abstract":"The spread of multimodal coronavirus disease 2019 (COVID-19) misinformation on social media poses considerable public health risks. Yet limited research has addressed the efficacy of citizen-contributed, multimodal debunking messages, especially the roles of audiovisual structural features. In a between-subject online experiment, we assessed the impacts of misleading TikTok videos promoting the false claim that COVID-19 vaccines cause infertility and compared the effectiveness of debunking videos from medical experts vs. laypeople. We independently varied the presence of background music. Results showed that while misleading TikTok videos increased misperceptions, most debunking videos effectively countered such misinformation. Notably, compared with laypeople’s testimonial corrections, expert didactic videos benefited more from incorporating high-tempo background music, primarily through the suppression of counterarguing rather than through enhanced encoding. These findings underscore the importance to consider audiovisual structural features, such as background music, as well as the cognitive pathway through distracted counterarguing, in future research on multimodal misinformation and correction.","PeriodicalId":48319,"journal":{"name":"Journal of Computer-Mediated Communication","volume":"95 1","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer-Mediated Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1093/jcmc/zmae007","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
The spread of multimodal coronavirus disease 2019 (COVID-19) misinformation on social media poses considerable public health risks. Yet limited research has addressed the efficacy of citizen-contributed, multimodal debunking messages, especially the roles of audiovisual structural features. In a between-subject online experiment, we assessed the impacts of misleading TikTok videos promoting the false claim that COVID-19 vaccines cause infertility and compared the effectiveness of debunking videos from medical experts vs. laypeople. We independently varied the presence of background music. Results showed that while misleading TikTok videos increased misperceptions, most debunking videos effectively countered such misinformation. Notably, compared with laypeople’s testimonial corrections, expert didactic videos benefited more from incorporating high-tempo background music, primarily through the suppression of counterarguing rather than through enhanced encoding. These findings underscore the importance to consider audiovisual structural features, such as background music, as well as the cognitive pathway through distracted counterarguing, in future research on multimodal misinformation and correction.
期刊介绍:
The Journal of Computer-Mediated Communication (JCMC) has been a longstanding contributor to the field of computer-mediated communication research. Since its inception in 1995, it has been a pioneer in web-based, peer-reviewed scholarly publications. JCMC encourages interdisciplinary research, welcoming contributions from various disciplines, such as communication, business, education, political science, sociology, psychology, media studies, and information science. The journal's commitment to open access and high-quality standards has solidified its status as a reputable source for scholars exploring the dynamics of communication in the digital age.