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Consumer Perceptions of AI-Generated Content and Disclaimer in Terms of Authenticity, Deception, and Content Attribute

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  • Han, Seoungmin

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  • Han, Seoungmin, 2024. "Consumer Perceptions of AI-Generated Content and Disclaimer in Terms of Authenticity, Deception, and Content Attribute," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302503, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb24:302503
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    File URL: https://www.econstor.eu/bitstream/10419/302503/1/ITS-Seoul-2024-paper-090.pdf
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    References listed on IDEAS

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    1. Burke, Raymond R, et al, 1988. "Deception by Implication: An Experimental Investigation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(4), pages 483-494, March.
    2. Audrezet, Alice & de Kerviler, Gwarlann & Guidry Moulard, Julie, 2020. "Authenticity under threat: When social media influencers need to go beyond self-presentation," Journal of Business Research, Elsevier, vol. 117(C), pages 557-569.
    3. Laurence Carsana & Alain Jolibert, 2018. "Influence of iconic, indexical cues, and brand schematicity on perceived authenticity dimensions of private-label brands," Post-Print hal-01984655, HAL.
    4. Napoli, Julie & Dickinson, Sonia J. & Beverland, Michael B. & Farrelly, Francis, 2014. "Measuring consumer-based brand authenticity," Journal of Business Research, Elsevier, vol. 67(6), pages 1090-1098.
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    More about this item

    Keywords

    Generative AI; AI Generated Content; AI Disclaimer; Authenticity; Deception; Utilitarian; Hedonic;
    All these keywords.

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