Utilizing the source credibility framework and MAIN model, this study examined how non-content credibility indicators affected individuals’ beliefs and behavioral intentions about COVID-19 on Twitter. Using quota sampling, 310 participants participated in a 3 (misinformation source: politician vs. journalist vs. ordinary user) X 2 (fact-checking source: Twitter vs. scientist) between-subjects factorial experiment. Misinformation from journalists enhanced participants’ belief in misinformation the most. Meanwhile, misinformation from politicians enhanced participants’ intention to share misinformation the most. Notably, scientists enhanced participants’ beliefs and intentions to share fact-checking responses more than Twitter misinformation warning labels. Theoretical contributions, practical implications, and future research are discussed.
|Publication status||Published - 27 May 2021|
|Event||ICA 2021 - 71st Annual International Communication Association Conference: Engaging the Essential Work of Care: Communication, Connectedness, and Social Justice - Virtual|
Duration: 27 May 2021 → 31 May 2021
https://www.icahdq.org/page/ICA2021 (Conference website)
https://cdn.ymaws.com/www.icahdq.org/resource/resmgr/conference/2021/2021-printprogram.pdf (Conference program)
|Conference||ICA 2021 - 71st Annual International Communication Association Conference|
|Period||27/05/21 → 31/05/21|