A recent arXiv preprint investigates whether a large language model can reduce belief in conspiracy theories as they emerge. The researchers propose using conversational dialogues with the LLM as a possible intervention, targeting beliefs that are "immediately unfolding" in the aftermath of major events.
Conspiracy theories that spread quickly after major events are a recognized societal challenge. The study appears to test whether real-time dialogue with an AI system can counter misinformation before it solidifies, an approach that differs from prior work often focused on debunking established falsehoods.
The available abstract is cut off before presenting results, so the effectiveness of the method is not described in the source. The paper is available on arXiv under identifier 2608.06151.