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        Toxicity in AI-Generated Video Streams and Chats: How do Viewers React to Harmful Messages and Stereotypes?

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        GMTE_Thesis_Joris_5931126.pdf (635.9Kb)
        Publication date
        2025
        Author
        Lambooij, Joris
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        Summary
        This 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.
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        https://studenttheses.uu.nl/handle/20.500.12932/48614
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