Investigating Correction Effects of Different Modalities for Misinformation about COVID-19

Yu Chia Tseng, Nanyi Bi, Yung Ju Chang, Chien Wen Tina Yuan

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

Misinformation presented in different modalities about the COVID-19 pandemic has been prevalent. One approach to reducing the negative effects of misinformation is through corrective information. However, it is possible that people develop counter-attitude towards the corrective information and reaffirm their belief in misinformation, called the boomerang effect. Fewer studies examined how different modes of corrective information about COVID-19 may address the boomerang effect. With a 3-by-3 between-subject experiment design (n = 210), we first presented one of the three modalities of misinformation (text, image, video) to the participants, followed by one of the three modalities of corrective information (text, image, video) to examine the effect of the corrective information. The results showed that there was no boomerang effect after correction in all modalities, indicating that all corrective information successfully reduced participants' perceived credibility and potential action for misinformation. In the post-hoc analysis, the correction in the video mode worked best on text misinformation. Our results also suggested that image misinformation worked least effectively in terms of conveying misinformation.

原文English
主出版物標題CSCW 2022 - Conference Companion Publication of the 2022 Computer Supported Cooperative Workand Social Computing
發行者Association for Computing Machinery
頁面54-58
頁數5
ISBN(電子)9781450391900
DOIs
出版狀態Published - 8 11月 2022
事件25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022 - Virtual, Online, Taiwan
持續時間: 8 11月 202222 11月 2022

出版系列

名字Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022
國家/地區Taiwan
城市Virtual, Online
期間8/11/2222/11/22

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