Virtual aunt Vera against misinformation in election campaigns
DOI:
https://doi.org/10.51359/2317-0115.2025.269141Palavras-chave:
Desinformação eleitoral, Humanos virtuais, Campanhas Educacionais, Tecnologias imersivas, Campanhas EleitoraisResumo
Este estudo explora o uso de humanos virtuais (HVs) como agentes narrativos em campanhas educativas para combater a desinformação eleitoral. Objetivo: A proposta visa adaptar uma campanha existente para um formato audiovisual, apresentando HVs hiper-realistas que transmitem conteúdo verificado por meio de vídeos curtos, otimizados para mídias sociais. Metodologia: Combinar apelo visual, personalização e narrativa emocional como estratégia para aumentar o engajamento e incentivar a verificação colaborativa de fatos pelo público. Resultados esperados: A capacidade dos HVs de transmitir informações de forma persuasiva e acessível pode representar um diferencial significativo para a comunicação política no futuro, combatendo consideravelmente a desinformação eleitoral.
Referências
AÏMEUR E.; AMRI S.; BRASSARD, G. Fake news, Disinformation and Misinformation in Social Media: a Review. [S. l.]. Social Network Analysis and Mining, v. 13, n. 1, p. 1–36, 9 fev. 2023.
ARAL, S. HYPE MACHINE: How Social Media Disrupts Our Elections, Our Economy, and Our Health–and How We Must Adapt. [S. l.].: Crown, 2021.
BAILENSON, J. et al. Virtual human realism and its effects on message persuasiveness in digital campaigns. [S. l.]. Media Psychology, v. 23, n. 1, p. 58-77, 2023.
BILOTTA, E. et al. Virtual humans in education: some implementations from research studies. [S. l.]. In EDULEARN11 Proceedings, p. 6456–6464. IATED, 2011.
BROWN, J. et al. Misinformation in virtual reality. [S. l.]. Journal of Online Trust and Safety, 2023.
BYUN, K.; AHN, S. J.-G. A systematic review of virtual influencers: Similarities and differences between human and virtual influencers in interactive advertising. [S. l.]. Journal of Interactive Advertising, v. 23, p. 1–14, 2023.
CAO, Y. et al. Expressive virtual humans in educational videos: An analysis of emotional resonance and viewer engagement. [S. l.]. Computers & Education, v. 184, a. 104525, 2022.
EPIC GAMES. MetaHuman Creator Documentation. [S. l.] .2024
FERSTL, Y. et al. Increasing the perceived credibility of virtual humans. [S. l.]. Computers in Human Behavior, 2021.
GAO, F. et al. Emotional contagion and synthetic faces: How virtual humans convey empathy in educational content. [S. l.]. Computers & Graphics, v. 106, p. 50–64, 2022.
GEIGER, S.; TORREZ, R. Ethical boundaries in ai-generated campaign avatars: Between trust and manipulation. [S. l.]. New Media & Society, v. 25, n. 2, p. 387–406, 2023.
KARUZAKI, E. et al. Realistic virtual humans for cultural heritage applications. [S. l.]. Heritage, v. 4, n. 4, p. 4148–4171, 2021.
KATZ, J. et al. The role of cultural customization in virtual human campaigns: A cross cultural analysis. [S. l.]. Journal of Computer-Mediated Communication, v. 27, n. 3, a. zmac026, 2022.
KODA, T.; ISHIBASHI, H. Enhancing credibility and engagement of virtual humans using adaptive facial animation. [S. l.]. International Journal of Human-Computer Studies, v. 180: 103036, 2024.
LAZER, D. M. et al. The science of fake news. [S. l.]. Science, v. 359, n. 6380, p. 1094–1096, 2018.
LIN, L.; ZHOU, C. Lip sync accuracy and credibility in ai-generated public service announcements. [S. l.]. Journal of Broadcasting & Electronic Media, v. 68, n; 1, p. 89–107, 2024.
LINDERS, D. From e-government to we-government: Defining a typology for citizen coproduction in the age of social media. [S. l.]. Government information quarterly, v. 29, n. 4, p. 446–454, 2012.
MAYER, R. E. Principles based on social cues in multimedia learning: Personalization, voice, image, and embodiment principles. [S. l.]. The Cambridge handbook of multimedia learning, v. 16, p. (345-370):45, 2014.
MOON, Y. et al. Virtual voices for real change. [S. l.]. Computers in Human Behavior, 2024.
MORI, M. et al. The uncanny valley. [S. l.]. IEEE RAM, 2012.
MOYER-GUSÉ, E.; NABI, R. L. Explaining the effects of narrative in an entertainment television program: Overcoming resistance to persuasion. [S. l.]. Human communication research, v. 36, n 1, p. 26–52, 2010.
NVIDIA. Nvidia, 2024.
SCHWIND, V. et al. Perception of facial microexpressions in animated avatars: Implications for educational media. [S. l.]. Computers in Human Behavior, v. 107, a. 106295, 2020.
SERELLE, R.; SOARES, F. Fake news nas eleições. Revista Brasileira de Estudos da Mídia, 2018.
SILVEIRA, M. d. P. New technologies and elections: Should the state play any role in combating misinformation?. [S. l.]. Revista Jurídica, v. 1, n. 54, p. 608-638, 2020.
SOPRANO, M. In Crowd Veritas: Leveraging Human Intelligence To Fight Misinformation. PhD thesis, University of Udine, 2023.
WANG, J.; FONG P. Synthetic voices and trust perception in public health messaging. [S. l.]. Journal of Media Psychology, v. 33, n. 3, p. 145–157, 2021.
WANG J.; ZHAO, L.; KIM, H. Fake news in virtual community, virtual society, and metaverse: A survey. [S. l.]. In IEEE Transactions, 2023.
WURTZ, J.; CAMPBEL, R. Virtual avatars as public health educators: Evaluating trust, identification, and information retention. [S. l.]. Health Communication, v. 36, n. 9, p. 1160-1169, 2021.
YANG, J. et al. Trustworthiness of virtual influencers. [S. l.]. Journal of Interactive Marketing, 2023.
ZHENG, S. et al. The role of social media in moocs: How to use social media to enhance student retention. [S. l.]. In Proceedings of the Third (2016) ACM Conference on Learning@ Scale
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Copyright (c) 2026 Juliana Sampaio Silva Ivo, Rayelen de Jesus Oliveira, Hermano de Oliveira Santos, Paulo Sergio de Santana Silva, Victor Flávio de Andrade
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