The Impact of Artificial Intelligence on Trustworthiness and Authenticity in Green Influencer Marketing

Authors

  • Chirag Harchandani Student, BBA, St Xavier’s College Jaipur, Rajasthan, INDIA.
  • Aditya Singh Chandrawat Student, BBA, St Xavier’s College Jaipur, Rajasthan, INDIA.
  • Ayushi Upadhyay Student, BBA, St Xavier’s College Jaipur, Rajasthan, INDIA.

DOI:

https://doi.org/10.55544/ijrah.5.2.7

Keywords:

Artificial Intelligence, Green Influencer Marketing, Social Media Influencers, Digital Marketing, AI influencer, perceived trustworthiness

Abstract

In recent times, influencer marketing has become one of the crucial components of digital marketing tactics. We are living in a social media age where social media influencers have become the key voices in all fields and influencer marketing initiatives are becoming increasingly successful. They have started integrating AI into their content, analysis and audience engagement processes which can be of great benefit to them but at the same time, it presents new challenges for authenticity and genuineness. The findings of the research show the positive impact of Artificial intelligence on Influencer marketing but at the same time, it also aims to identify the challenges faced in green influencer marketing and how AI impacts its perceived trustworthiness and authenticity across major social media platforms including Instagram, and YouTube. Through analysis of sustainability-focused posts from influencers and survey responses from their followers, this paper examines the difference in impact between AI-enhanced content and authentic content.

It also identifies how followers respond to AI influencer preferences and how this affects trust, particularly in AI-generated content. The findings also contribute to emerging theories of digital authenticity in social media marketing.

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References

Jhawar, A., Kumar, P., & Varshney, S. (2023). The emergence of virtual influencers: a shift in the influencer marketing paradigm. Young Consumers, 24(4), 468-484.

Giuffredi-Ka¨hr, A., Petrova, A. and Mala¨r, L. (2022), “Sponsorship disclosure of influencers–a curse or a blessing?”, Journal of Interactive Marketing, Vol. 57 No. 1, pp. 18-34.

L.J. Cabeza-Ramírez et al.

How generation X and millennials perceive Influencers’ recommendations: perceived trustworthiness, product involvement, and perceived risk a. J. Theor. Appl. Electron. Commer. Res.(2022)

Qudsi, I. E. (2022, April 14). The State of Influencer Marketing: Top insights for 2022. Forbes. https://www.forbes.com/sites/forbesagencycouncil/2022/01/14/the-state-of-influencer-marketing-top-insights-for-2022/

Narayanan, P. (2024). Against the Green Schema: How Gen‐AI Negatively Impacts Green Influencer Posts. Psychology & Marketing.

Dewangan, J., Siddiqui, I., & Trehan, U. (2022). Social media influencer marketing: A systematic literature review. International Journal of Business Excellence, 1(1), 1.

Moustakas, E., Lamba, N., Mahmoud, D. and Ranganathan, C. (2020), “Blurring lines between fiction and reality: perspectives of experts on marketing effectiveness of virtual influencers”, International Conference on Cyber Security and Protection of Digital Services (Cyber Security). IEEE, pp. 1-6.

Sands, S., Campbell, C.L., Plangger, K. and Ferraro, C. (2022), “Unreal influence: leveraging AI in influencer marketing”, European Journal of Marketing, Vol. 56 No. 6, pp. 1721-1747.

Lou, C., S. T. J. Kiew, T. Chen, T. Y. M. Lee, J. E. C. Ong, and Z. Phua. 2023. “Authentically Fake? How Consumers Respond to the Influence of Virtual Influencers.” Journal of Advertising 52 (4): 540–557.

Tomassi, A., Falegnami, A., & Romano, E. (2024). Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society. Plos one, 19(5), e0303183.

Fang, Z. (2024). Greenwashing versus green authenticity: How green social media influences consumer perceptions and green purchase decisions. Sustainability, 16(23), 10723. https://doi.org/10.3390/su162310723

Hasan, S., Zahid, H., & Qayyum, A. (2024). Influencer authenticity and intention to co-create brand value: An investigation of central and peripheral pathways. Cogent Business & Management, 11(1), 2393236.

Guo, R., & Wang, Y. (2024). Finding the best creation strategy: How influencer's photo-editing behavior affects consumer's engagement intention. Journal of Retailing and Consumer Services, 80, 103892.

Brüns, J. D., & Meißner, M. (2024). Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity. Journal of Retailing and Consumer Services, 79, 103790.

Vrontis, D., Makrides, A., Christofi, M., & Thrassou, A. (2021). Social media influencer marketing: A systematic review, integrative framework and future research agenda. International Journal of Consumer Studies, 45(4), 617-644.

De Veirman, M., Hudders, L., & Nelson, M. R. (2019). What is influencer marketing and how does it target children? A review and direction for future research. Frontiers in psychology, 10, 498106.

Kádeková, Z., & Holienčinová, M. (2018). Influencer marketing as a modern phenomenon creating a new frontier of virtual opportunities. Communication Today, 9(2).

Veissi, I. (2017). Influencer marketing on Instagram.

Pittman, M., & Abell, A. (2021). More trust in fewer followers: Diverging effects of popularity metrics and green orientation social media influencers. Journal of Interactive Marketing, 56, 70–82.

Allal-Chérif, O., Puertas, R., & Carracedo, P. (2024). Intelligent influencer marketing: how AI-powered virtual influencers outperform human influencers. Technological Forecasting and Social Change, 200, 123113.

Thomas, V.L. and Fowler, K. (2021), “Close encounters of the AI kind: use of AI influencers as brand endorsers”, Journal of Advertising, Vol. 50 No. 1, pp. 11-25.

Sands, S., Campbell, C. L., Plangger, K., & Ferraro, C. (2022). Unreal influence: Leveraging AI in influencer marketing. European Journal of Marketing, 56(6), 1721-1747.

Liu, X. (2019), “A big data approach to examining social bots on twitter”, Journal of Services Marketing, Vol. 33 No. 4, pp. 369-379.

de Veirman, M., Cauberghe, V. and Hudders, L. (2017), “Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude”, International Journal of Advertising, Vol. 36 No. 5, pp. 798-828.

Gannon, V. and Prothero, A. (2018), “Beauty bloggers and YouTubers as a community of practice”, Journal of Marketing Management, Vol. 34 Nos 7/8, pp. 592-619.

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Published

2025-03-16

How to Cite

Harchandani, C., Chandrawat, A. S., & Upadhyay, A. (2025). The Impact of Artificial Intelligence on Trustworthiness and Authenticity in Green Influencer Marketing. Integrated Journal for Research in Arts and Humanities, 5(2), 41–46. https://doi.org/10.55544/ijrah.5.2.7

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Section

Articles