Finding Strategies Against Misinformation in Social Media: A Qualitative Study
April 30, 2022 Β· Declared Dead Β· π CHI Extended Abstracts
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Authors
Jacqueline Urakami, Yeongdae Kim, Hiroki Oura, Katie Seaborn
arXiv ID
2205.00188
Category
cs.HC: Human-Computer Interaction
Citations
20
Venue
CHI Extended Abstracts
Last Checked
4 months ago
Abstract
Misinformation spread through social media has become a fundamental challenge in modern society. Recent studies have evaluated various strategies for addressing this problem, such as by modifying social media platforms or educating people about misinformation, to varying degrees of success. Our goal is to develop a new strategy for countering misinformation: intelligent tools that encourage social media users to foster metacognitive skills "in the wild." As a first step, we conducted focus groups with social media users to discover how they can be best supported in combating misinformation. Qualitative analyses of the discussions revealed that people find it difficult to detect misinformation. Findings also indicated a need for but lack of resources to support cross-validation of information. Moreover, misinformation had a nuanced emotional impact on people. Suggestions for the design of intelligent tools that support social media users in information selection, information engagement, and emotional response management are presented.
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