Understanding Young People’s Assessment of Social and Automated Approaches to Misinformation Remediation

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dc.contributor.authorShusas, Erica
dc.date.accessioned2023-03-17T22:49:01Z
dc.date.available2023-03-17T22:49:01Z
dc.date.issued2023
dc.description.abstractThe massive, rapid, and pervasive spread of mis- and disinformation on social media has been hailed by many as a threat to democratic processes and human rights across the globe. Young people are particularly vulnerable to this threat due in part to their proportionally high consumption of news through social media platforms. My dissertation aims to better understand how young people engage with flags to misinformation from sources such as social cues and automated tools in order to offer insights into how to build better credibility assessment tools.en
dc.identifier.doi10.1145/3565967.3571756
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4620
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work
dc.subjectsocial cues
dc.subjectautomated moderation
dc.subjectsocial media
dc.subjectdisinformation
dc.subjectmisinformation
dc.titleUnderstanding Young People’s Assessment of Social and Automated Approaches to Misinformation Remediationen
dc.typeText/Conference Paper
gi.citation.startPage57–59
gi.conference.locationHilton Head, SC, USA

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