Finding Strategies Against Misinformation in Social Media: A Qualitative Study

April 30, 2022 Β· Declared Dead Β· πŸ› CHI Extended Abstracts

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Human-Computer Interaction

Died the same way β€” πŸ‘» Ghosted