Main Article Content

Authors

Ekomobong Eno Sunday*
Uka Uka Nwagbara

Abstract

This qualitative study examined how Nigerian university students make sense of AI-generated health advertising on Instagram and TikTok. Using purposive sampling, twelve students took part in online semi-structured interviews. Thematic analysis showed three consistent patterns. First, most students quickly recognised synthetic cues by stacking signals such as flat vocal timbre, repeated avatars, and micro-expression gaps. Secondly, engagement depended less on polish and more on cultural fit. Local voice, humour, everyday Nigerian settings, and clear naming of institutions held attention, while foreign voice-overs and generic stock scenes triggered doubt. Thirdly, intention to act followed credibility checks. Students shared, clicked, or visited clinics only when posts linked to verifiable sources such as known hospitals, NGOs, or government handles. These findings align with the Elaboration Likelihood Model: in a high-stakes health context, students adopt central processing and test arguments before they move. We conclude that trust, cultural resonance, and traceable provenance are necessary bridges from attention to behaviour. We recommend co-branding with verified health institutions, systematic cultural localisation of creative assets, and campus-level AI literacy to support responsible engagement. The study contributes a Nigeria-specific account of youth verification practices that refine ELM for AI-mediated health persuasion.

Keywords:
AI advertising, health communication, Nigerian students, Instagram, TikTok, cultural fit, credibility

Article Details

References

[1] Ekanem, I., & Nwagbara, U. (2024). AI-Generated Advertising in Nigeria: A Qualitative Exploration of Consumer Perceptions, Trust, and Engagement. TSU Journal of Communication and Media Studies, 4(1), 1-18.

[2] Adeyinka, K. I., Takunda, C. O., & Adeyinka, T. I. (2024). Artificial Intelligence (AI) algorithms in Nigeria's integrated marketing communications. In AI-Driven Marketing Research and Data Analytics (pp. 67-81). IGI Global Scientific Publishing.

[3] Nwachukwu, D., & Affen, M. P. (2023). Artificial intelligence marketing practices: The way forward to better customer experience management in Africa (Systematic Literature Review). International Academy Journal of Management, Marketing and Entrepreneurial Studies, 9(2), 44-62.

[4] Olubiyi, T. O., Onijingin, K., & Temi, O. A. (2024). Role Of Artificial Intelligence Technologies on Customer Behaviour: Evidence from Consumer Goods Companies In Sub-Saharan Africa. Journal of the Management Sciences, 61(8), 469-483.

[5] Gu, C., Jia, S., Lai, J., Chen, R., & Chang, X. (2024). Exploring consumer acceptance of AI-generated advertisements: From the perspectives of perceived eeriness and perceived intelligence. Journal of Theoretical and Applied Electronic Commerce Research, 19(3), 2218-2238.

[6] Jung, T., Koghut, M., Lee, E., & Kwon, O. (2025). Artificial creativity in luxury advertising: How trust and perceived humanness drive consumer response to AI-generated content. Journal of Retailing and Consumer Services, 87, 104403.

[7] Chen, C., Zhang, D., Zhu, L., & Zhang, F. (2025). Exploring Consumer Responses to AI‐Generated Visual Marketing Content: A Dual‐Process Theory Perspective. International Journal of Consumer Studies, 49(5), e70121.

[8] Chen, Y., Wang, H., Hill, S. R., & Li, B. (2024). Consumer attitudes toward AI-generated ads: Appeal types, self-efficacy and AI’s social role. Journal of Business Research, 185, 114867.

[9] Kirk, C. P., & Givi, J. (2025). The AI-authorship effect: Understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communications. Journal of Business Research, 186, 114984.

[10] Bui, H. T., Filimonau, V., & Sezerel, H. (2024). AI-thenticity: Exploring the effect of perceived authenticity of AI-generated visual content on tourist patronage intentions. Journal of Destination Marketing & Management, 34, 100956.

[11] Lou, X., & Copeland, L. (2025). Gen Z and AI-Generated Fashion Ads: A Qualitative Study to Understanding Female Consumer Perceptions and Reactions. Journal of Internet Commerce, 1-22.

[12] Arango, L., Singaraju, S. P., & Niininen, O. (2023). Consumer responses to AI-generated charitable giving ads. Journal of Advertising, 52(4), 486-503.

[13] Stright, A., Sloan, G., Code, M., Gorman, M., Moss, R., & McSweeney, M. B. (2025). A Preliminary Investigation Into the Use of AI‐Generated Food Images in a Survey Asking About Consumer Perception of Appeal, Naturalness, Healthiness, and Willingness to Consume. Journal of Sensory Studies, 40(1), e70015.

[14] Campbell, C., Plangger, K., Sands, S., & Kietzmann, J. (2022). Preparing for an era of deepfakes and AI-generated ads: A framework for understanding responses to manipulated advertising. Journal of Advertising, 51(1), 22-38.

[15] Al-Kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., & Alfandi, O. (2024, September). Ethical challenges and solutions of generative AI: An interdisciplinary perspective. In Informatics (Vol. 11, No. 3, p. 58). Multidisciplinary Digital Publishing Institute.

[16] Copyright Licensing Agency & Fiftyfive5 (Accenture). (2025). The GAI revolution: How professionals are using generative AI in the workplace and the copyright implications this creates (Private sector white paper). https://assets.cla.co.uk/media/2025/03/the-gai-revolution-private-sector.pdf

[17] Grewal, D., Satornino, C. B., Davenport, T., & Guha, A. (2025). How generative AI Is shaping the future of marketing. Journal of the Academy of Marketing Science, 53(3), 702-722.

[18] Grewal, D., Guha, A., Beccacece Satornino, C., & Becker, M. (2025). The future of marketing and marketing education. Journal of Marketing Education, 47(1), 61-77.

[19] Kitsios, F., & Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability, 13(4), 2025.

[20] Ogbaga, I. N., & Nweke, H. F. (2025). Persuasive power of artificial intelligence-generated ads: exploring online behaviour among Gen Z internet users in Nigeria. African Scientific Reports, 301-301.

[21] Arowosafe, S. (2026). Between Exposure and Action: Digital Natives' Responses to Unsolicited Online Advertising in Nigeria. International Journal of Arts and Humanities, 7(1), 395-407.

[22] Odoh, A. N. (2024). The Role of AI-driven Digital Advertising in Sustainable Real Estate Marketing in Nigeria. In 8th International Academic Conference on Research in Social Sciences.

[23] Odoh, A. (2025). Demystifying the Role of Artificial Intelligence in the Digital Communication Strategy of Nigeria’s E-commerce Industry. In Media and Communication Systems for Sustainability in Nigeria (pp. 209-232). Cham: Springer Nature Switzerland.

[24] Mohammadi, S., & Jafari, S. M. (2024). AI-Generated Content and Customer Engagement in Advertising: The Moderating Role of Customers' Attributes. EIRP Proceedings, 19(1), 434-441.

[25] Singh, A., Kumar, G., & Dhariwal, A. (2025). Generative Artificial Intelligence in Visual Content: A Review of the Influence on Consumer Perception and Perspective. Multimodal Generative AI, 115-132.

[26] Kumar, P., Singh Dadwal, S., Modi, S., Ghouri, A. M., & Jahankhani, H. (2025). Digital Manipulation: How Technology Shapes Consumer Perception. In The Dark Side of Marketing: Technology, Consumer Autonomy and Recuperative Marketing (pp. 145-167). Cham: Springer Nature Switzerland.

[27] Zhou, C., & Jiang, B. (2025). How do consumers react to AI-generated green marketing content? A hybrid analysis using PLS-SEM and text mining. Journal of Retailing and Consumer Services, 87, 104431.

[28] Du, D., Zhang, Y., & Ge, J. (2023, July). Effect of AI generated content advertising on consumer engagement. In International conference on human-computer interaction (pp. 121-129). Cham: Springer Nature Switzerland.

[29] Morah, D. N., & Brown, G. N. B. (2024). Knowledge and Adoption of Artificial Intelligence for Effective Communication by Healthcare Providers in Nigerian Teaching Hospitals. Pakistan Journal of Media Sciences, 5(1), 1-17.

[30] Oduenyi, C. C., & Williams, E. E. (2024). An assessment of artificial intelligence integration in the practice of public relations in Nigeria. Arabian Journal of Business and Management Review (Oman Chapter), 11(2), 33-37.

[31] Techpoint Africa (2025). TikTok closely rivals Facebook in Nigeria, with TikTok’s 37.40M users representing 15.8% of the national population - Intelpoint. [online] Intelpoint. Available at: https://intelpoint.co/insights/tiktok-closely-rivals-facebook-in-nigeria-with-tiktoks-37-40m-users-representing-15-8-of-the-national-population/ [Accessed 19 Sep. 2025].

[32] Statista (2025). Nigeria Instagram users by age 2021. [online] Statista. Available at: https://www.statista.com/statistics/1028396/nigeria-instagram-user-age-distribution/ [Accessed 13 Aug. 2025].

[33] Ojeih, C. A., & Ogidan, O. (2025). Digital innovation and technological advancement: Any role for copyright in the wake of artificial intelligence in Nigeria?. African Journal of Law, Ethics and Education (ISSN: 2756-6870), 8(1), 19-42

[34] Cillo, P., & Rubera, G. (2025). Generative AI in innovation and marketing processes: A roadmap of research opportunities. Journal of the Academy of Marketing Science, 53(3), 684-701.

[35] Hartmann, J., Exner, Y., & Domdey, S. (2025). The power of generative marketing: Can generative AI create superhuman visual marketing content?. International Journal of Research in Marketing, 42(1), 13-31.

[36] Nwagbara, Uka U. & Inim, Chidinma U. (2024). Empowerment or Conformity? Instagram’s Dual Role in the Fashion Preferences of South-East Nigerian Models. World Languages, Literature and Cultural Studies (WLLCS), 3(2), 46-56.

[37] Toosi, R., Hosseini, S. H., Nosraty, N., & Rahmatian, F. (2024). Artificial intelligence, health, and the beauty industry. International Journal of Advanced Multidisciplinary Research and Studies, 4(3), 1689–1698.

[38] Guha, A., Grewal, D., & Atlas, S. (2024). Generative AI and marketing education: What the future holds. Journal of Marketing Education, 46(1), 6-17.

[39] Wahid, R., Mero, J., & Ritala, P. (2023). Written by ChatGPT, illustrated by Midjourney: generative AI for content marketing. Asia Pacific Journal of Marketing and Logistics, 35(8), 1813-1822.

[40] Wahid, R. (2025). Generative AI for Content Marketing. In Encyclopedia of Artificial Intelligence in Marketing (pp. 1-11). Springer, Cham.

[41] Raut, S., Chandel, A., & Mittal, S. (2025). Enhancing marketing and brand communication with AI-driven content creation. In AI, corporate social responsibility, and marketing in modern organizations (pp. 139-172). IGI Global Scientific Publishing.

[42] Ebuka, A. A., Emmanuel, D., & Idigo, P. (2023). Artificial intelligence as a catalyst for the sustainability of Small and Medium Scale Businesses (SMEs) in Nigeria. Annals of Management and Organization Research, 5(1), 1-11.

[43] Kabiru, A., Ali, L., Sambo, B., & Ja’afar, Y. (2025). Generative Artificial Intelligence and Logistics System in Nigeria: A Literature Review and Direction for Future Research. Fudma International Journal of Social Sciences, 5(2), 145-155.

[44] Onayinka, T. S., Opele, J. K., Adewole, L. B., & Agbasimelo, C. I. (2024). Ethical implications and policy frameworks for AI-driven solutions to combat misinformation in digital media. UNIZIK Journal of Educational Research and Policy Studies, 17(3), 314-327

[45] Amodu, A. B., & Ameed, M. (2024). Artificial intelligence and media content creation amongst media professionals in Nigeria: Benefits and challenges. Arabian Journal of Business and Management Review (Nigerian Chapter), 9(2), 51-55.

[46] Obiora, A. V., & Adikuru, C. C. (2024). Intervention communication strategy: Boosting fight against drug abuse among Nigerian youth through artificial intelligence generated memes on social media. Advance Journal of Arts, Humanities and Social Sciences, 7(4), 57-72.

[47] Achuonye, K. A., & Okwumabua, E. N. (2024). Prospects and Challenges of Artificial Intelligence in Children’s Radio Programmes in Rivers State, Nigeria. Educational Broadcasting in Nigeria in the Age of Artificial Intelligence, 103-116.

[48] Chaisatitkul, A., Luangngamkhum, K., Noulpum, K., & Kerdvibulvech, C. (2024). The power of AI in marketing: enhancing efficiency and improving customer perception through AI-generated storyboards. International Journal of Information Technology, 16(1), 137-144.

[49] Olusola, O. (2025). Youthquake in Nigeria: Why the TikTok generation must shift from scrolling to skills - Businessday NG. [online] Businessday NG. Available at: https://businessday.ng/features/article/youthquake-in-nigeria-why-the-tiktok-generation-must-shift-from-scrolling-to-skills/ [Accessed 19 Sep. 2025].

[50] Ratta, A. A., Muneer, S., & ul Hassan, H. (2024). The Impact of AI Generated Advertising Content on Consumer Buying Behavior and Consumer Engagement. Bulletin of Business and Economics (BBE), 13(2), 1152-1157.

[51] Diwanji, V. S., Geana, M., Pei, J., Nguyen, N., Izhar, N., & Chaif, R. H. (2025). Consumers’ emotional responses to AI-Generated versus human-generated content: the role of perceived agency, affect and gaze in health marketing. International Journal of Human–Computer Interaction, 1-21.

[52] Cacioppo, J. T., Petty, R. E., Kao, C. F., & Rodriguez, R. (1986). Central and peripheral routes to persuasion: An individual difference perspective. Journal of personality and social psychology, 51(5), 1032.

[53] Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches. Sage publications

[54] Sandelowski, M. (2000). Whatever happened to qualitative description?. Research in nursing & health, 23(4), 334-340.

[55] James, N., & H. Busher. (2016). Online Interviewing. In D. Silverman (Ed.), Qualitative Research. London: Sage Publications.

[56] Kvale, S., & Brinkmann, S. (2015). Interviews. Sage.

[57] Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.

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