Emotional prompting amplifies disinformation generation in AI large language models
Our study reveals that all tested LLMs effectively generate disinformation. Notably, emotional prompting had a significant impact on disinformation production rates, with models showing higher success rates when prompted with polite language compared to neutral or impolite requests. Our investigation highlights that LLMs can be exploited to create disinformation and emphasizes the critical need for ethics-by-design approaches in developing AI technologies. We maintain that identifying ways to mitigate the exploitation of LLMs through emotional prompting is crucial to prevent their misuse for purposes detrimental to public health and society.
Authors
- Giovanni Spitale (ORCID: https://orcid.org/0000-0002-6812-0979)
- Rasita Vinay (ORCID: https://orcid.org/0000-0002-0490-5697)
- Federico Germani (ORCID: https://orcid.org/0000-0002-5604-0437)
- Nikola Biller‐Andorno (ORCID: https://orcid.org/0000-0001-7661-1324)
Institutions
- University of Zurich (CH)
- University of St.Gallen (CH)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-04-07
- DOI
- https://doi.org/10.3389/frai.2025.1543603
- Citations
- 12
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 50.42