The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events

Autor:	Venkatagiri, Sukrit, Schafer, Joseph S., Prochaska, Stephen
Rok vydání:	2023
Předmět:	Computer Science - Human-Computer Interaction Computer Science - Computer Vision and Pattern Recognition Computer Science - Computers and Society Computer Science - Multimedia Computer Science - Social and Information Networks
Druh dokumentu:	Working Paper
Popis:	Mis- and disinformation can spread rapidly on video-sharing platforms (VSPs). Despite the growing use of VSPs, there has not been a proportional increase in our ability to understand this medium and the messages conveyed through it. In this work, we draw on our prior experiences to outline three core challenges faced in studying VSPs in high-stakes and fast-paced settings: (1) navigating the unique affordances of VSPs, (2) understanding VSP content and determining its authenticity, and (3) novel user behaviors on VSPs for spreading misinformation. By highlighting these challenges, we hope that researchers can reflect on how to adapt existing research methods and tools to these new contexts, or develop entirely new ones. Comment: Accepted to the ACM CHI 2023 Workshop on Building Credibility, Trust, and Safety on Video-Sharing Platforms (https://safevsp.github.io/)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2303.14309 Zobrazit plný text záznamu View this record from Arxiv