Consumer attitudes to AI content generation in social media

Authors

  • Martin Varshev New Bulgarian University
  • Eduard Marinov New Bulgarian University

DOI:

https://doi.org/10.33919/dasc.25.8.13

Keywords:

AI-generated content, Social media marketing, Content authenticity, Digital trust

Abstract

The rapid advancement of artificial intelligence (AI) has transformed content generation in social media, prompting both excitement and skepticism among consumers. This study explores consumer attitudes toward AI-generated content, drawing on a comprehensive survey of social media users. The survey, conducted across diverse demographics, examines awareness, perception, trust, and engagement with AI-generated content. The results indicate that while awareness of AI content is high, with 88.3% of respondents recognizing it in their social media feeds, attitudes towards such content remain largely negative. Many users perceive AI-generated content as “inhuman” and “boring,” with significant con cerns about authenticity and data privacy. A striking 65% of participants advocate for transparency, urging brands to disclose the use of AI in content creation. Furthermore, trust in AI content is low, with many respondents expressing reluctance to engage with or share AI-generated material, particularly when its origin is disclosed. A case study focusing on Coca-Cola’s AI-generated advertisements underscores potential brand impact, revealing that a majority of users failed to identify AI content and would prefer traditional, human-generated ads. The findings suggest that while AI has potential in content marketing, its acceptance hinges on ethical considerations, transparency, and the ability to complement rather than replace human creativity. This study offers valuable insights for marketers navigating the evolving landscape of AI in social media, highlighting the need for strategies that prioritize consumer trust and authenticity.

References

Adams, P. 2023. Ryan Reynolds Reads From AI-generated Script in New Mint Mobile Ad. Marketing Dive, 11 January 2023. Available at: https://www.marketingdive.com/news/ryan-reynolds-ChatGPT-Mint-Mobile-AI-marketing/640160/ (accessed 8 August 2024).

Al Khaldy, M. A., B. A. A. Al-Obaydi and A. J. Al Shari. 2023. The Impact of Predictive Analytics and AI on Digital Marketing Strategy and ROI. In Studies in Big Data. Springer, 367–379. Available at: https://doi.org/10.1007/978-3-031-42455-7_31 (accessed 8 August 2024).

BBC Bitesize. 2023. Quiz: Artificial Intelligence or Real? – BBC Bitesize. BBC Bitesize, 20 April 2023. Available at: https://www.bbc.co.uk/bitesize/articles/zqnwxg8 (accessed 8 August 2024).

Campaign Brief. 2023. KitKat Reminds Australians That AI Is Just Another Great Excuse to Have a Break in Latest Campaign via Wunderman Thompson. Campaign Brief, 4 April 2023. Available at: https://campaignbrief.com/kitkat-reminds-australians-that-ai-is-just-anothergreat-excuse-to-have-a-break-in-latest-campaign-via-wundermanthompson/ (accessed 8 August 2024).

D&AD, n.d. Shah Rukh Khan-My-Ad | D&AD Awards 2022 Shortlist | Use of Talent & Influencers. Available at: https://www.dandad.org/awards/professional/2022/235670/shah-rukh-khan-my-ad/ (accessed 8 August 2024).

De Mauro, A., A. Sestino and A. Bacconi. 2022. “Machine Learning and Artificial Intelligence Use in Marketing: A General Taxonomy”. Italian Journal of Marketing, No. 4, 439–457. Available at: https://doi.org/10.1007/s43039-022-00057-w (accessed 8 August 2024).

Duong, A. 2023. AI-Generative Chocolate Campaigns. TrendHunter.com, 15 April 2023. Available at: https://www.trendhunter.com/trends/kitkat (accessed 8 August 2024).

Gao, Y., H. Liu. 2022. “Artificial Intelligence-enabled Personalization in Interactive Marketing: A Customer Journey Perspective”. Journal of Research in Interactive Marketing, Vol. 17, No. 5, 663–680. Available at: https://doi.org/10.1108/jrim-01-2022-0023 (accessed 8 August 2024).

Harkness, L., A. Bhambhri, J. Bevilacqua and C. Binnion. 2023. How Generative AI Can Boost Consumer Marketing. McKinsey & Company, 5 December 2023. Available at: https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/how-generative-ai-can-boostconsumer-marketing (accessed 8 August 2024).

n.d. Which Face Is Real? Available at: https://www.whichfaceisreal.com/ (accessed 8 August 2024).

VML, n.d. Have AI Break. Available at: https://www.vml.com/work/haveai-break (accessed 8 August 2024).

Downloads

Published

2025-12-30

How to Cite

Varshev, M., & Marinov, E. (2025). Consumer attitudes to AI content generation in social media. Digital Age in Semiotics & Communication, 8, 249–264. https://doi.org/10.33919/dasc.25.8.13