LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Help Me #DebunkThis: Unpacking Individual and Community's Collaborative Work in Information Credibility Assessment

Photo by voneciacarswell from unsplash

The wide spread of misinformation contributes to information consumers' excessed distrust of online information. To cope, information consumers are often actively involved in checking the credibility of information through self-researching… Click to show full abstract

The wide spread of misinformation contributes to information consumers' excessed distrust of online information. To cope, information consumers are often actively involved in checking the credibility of information through self-researching or seeking help and opinions from experts and peers. While previous studies investigated the factors that affect people's perceptions of information credibility and how laypeople's judgements compare to experts, little is known about how the information credibility assessment work is performed and cooperated by individuals and communities in real-life, natural online environments. Through a qualitative study of an online community, r/DebunkThis, which is dedicated to information debunking, we found that online information debunking rarely followed a linear and straightforward path. Rather, community members, including the debunkers and the original posters, constantly negotiated, and interacted with each other to determine what to debunk and how to debunk. Individuals adopted various strategies to debunk information, such as questioning the credibility of the information source and citing authoritative external information. Community members supplemented with details and explanations, corrected others, requested clarifications, summarized high-level knowledge and skills, and interacted socially based on individuals' debunking explanations. Our study results broaden the understanding of debunking not only as an outcome but also as a learning and social process for community members to learn high-level debunking skills and form and enforce community rules. We provide implications for designing community and crowd-based information debunking systems which should recognize the complex, cooperative, and socially situated work of community and crowd debunkers. The design of such systems should therefore support not only labeling information as correct or not or simply sharing alternative information sources, but also community interactions and learning processes, as well as recognizing the labor of community debunkers.

Keywords: information; information credibility; community; work; credibility assessment

Journal Title: Proceedings of the ACM on Human-Computer Interaction
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.