A new study published on arXiv explores the use of large language models (LLMs) to reduce belief in unfolding conspiracy theories. Researchers conducted experiments with U.S. adults who held conspiratorial views following major events, such as the assassination attempts on Donald Trump and Charlie Kirk. Participants who engaged in multi-turn conversations with an LLM prompted to counter misinformation showed significantly reduced conspiracy beliefs compared to control groups. The study also found that this effect persisted, with participants exhibiting lower belief in subsequent, unrelated conspiracies. AI
IMPACT Demonstrates a novel application of LLMs for mitigating societal harms like conspiracy theory proliferation.
RANK_REASON The cluster contains a research paper published on arXiv detailing experimental results. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- Charlie Kirk
- DagsHub
- Donald Trump
- Gotit.pub
- Hugging Face
- large language models
- ScienceCast
- U.S.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
