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Exploring User Emotional Responses to Human and GenAI Influencers

datacite.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopt_PT
dc.contributor.advisorPinto, Diego Costa
dc.contributor.advisorNunes, Joana Rita Martinho
dc.contributor.authorSoares, Pedro Francisco Raposo Lopes
dc.date.accessioned2025-11-14T14:44:48Z
dc.date.available2025-11-14T14:44:48Z
dc.date.issued2025-10-30
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Digital Marketing and Analyticspt_PT
dc.description.abstractIn recent years, GenAI Influencers have emerged and gained new significance on social media and in marketing advertisements, representing various opportunities. However, this does not prove how users feel when observing content made by artificial intelligence, which complicates how brands can use them. A sample of 110 social media users was randomly selected and watched one video featuring either a GenAI or a Human Influencer. We measured users’ emotions using the Face Reader, a Neuromarketing tool. Afterward, they completed a questionnaire measuring their perception of the Competence and Warmth of the observed influencer. The results showed that human influencers elicited higher levels of emotional engagement and were perceived as more competent. However, no emotional response mediated the relationship between influencer type and intention to follow. A significant interaction was found: Human influencers were favored when perceived competence was high, while GenAI influencers were more effective when competence was low. Warmth, although a strong predictor of intention to follow, did not interact with influencer type. According to these results, GenAI influencers might still be strategically useful even if they do not generate the same emotional or cognitive evaluations as human influencers. Brands may benefit from using GenAI influencers when innovation or costeffectiveness are priorities, and human influencers when emotional authenticity and high competence are crucial. These findings emphasize the significance of matching influencer type with campaign goals and contextual factors, and they provide marketers with useful advice on how to customize influencer strategies based on audience expectations and perceived traits.pt_PT
dc.identifier.tid204071283
dc.identifier.urihttp://hdl.handle.net/10362/190741
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectNeuromarketingpt_PT
dc.subjectGenAIpt_PT
dc.subjectDigital Influencerspt_PT
dc.subjectConsumer Emotionspt_PT
dc.subjectSocial Mediapt_PT
dc.subjectSDG 4 - Quality educationpt_PT
dc.subjectSDG 8 - Decent work and economic growthpt_PT
dc.subjectSDG 9 - Industry, innovation and infrastructurept_PT
dc.titleExploring User Emotional Responses to Human and GenAI Influencerspt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Marketing Analítico, especialização em Digital Marketing and Analyticspt_PT

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