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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationCSCW 2022 - Conference Companion Publication of the 2022 Computer Supported Cooperative Workand Social Computing
PublisherAssociation for Computing Machinery
Pages54-58
Number of pages5
ISBN (Electronic)9781450391900
DOIs
Publication statusPublished - 2022 Nov 8
Event25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022 - Virtual, Online, Taiwan
Duration: 2022 Nov 82022 Nov 22

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022
Country/TerritoryTaiwan
CityVirtual, Online
Period2022/11/082022/11/22

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Human-Computer Interaction

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