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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorFrommel, J.
dc.contributor.authorLambooij, Joris
dc.date.accessioned2025-03-06T00:01:20Z
dc.date.available2025-03-06T00:01:20Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/48614
dc.description.abstractThis thesis examines the relationship between toxicity in streams and chats of AI-generated video streams. Specifically, YouTube streams consisting of AI-generated episodes of Family Guy and Spongebob Squarepants were analysed. Utilizing the Perspective API, a free tool developed to detect toxicity in online spaces, both streams and chats of these YouTube channels were analyzed in terms of toxicity. Whenever there was a noticeable peak in toxicity, a qualitative analysis then took a closer look at the 1-minute intervals right around those peaks. A thematic analysis of these peaks provided insights into the causes and nature of toxicity in the communities around these YouTube channels and their streams.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThis thesis examines the relationship between toxicity in streams and chats of AI-generated video streams. Specifically, YouTube streams consisting of AI-generated episodes of Family Guy and Spongebob Squarepants were analysed.
dc.titleToxicity in AI-Generated Video Streams and Chats: How do Viewers React to Harmful Messages and Stereotypes?
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsToxicity, AI, generative AI, Family Guy, Spongbob Squarepants, YouTube, Stream, Chat
dc.subject.courseuuGame and Media Technology
dc.thesis.id43967


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