1 citations · 1 across the 2 of their papers we have counts for
4 papers
Just the Facts: How Dialogues with AI Reduce Conspiracy Beliefs
Thomas H. Costello, Gordon Pennycook, David G. Rand
Personalized dialogues with AI substantially reduce conspiracy beliefs. To identify why, we conducted two experiments with U.S. adults recruited online (total N = 2,193) that remov…
Reducing belief in conspiracy theories as they unfold using large language models
Thomas H. Costello, Nathaniel Rabb, Michael Nicholas Stagnaro +2
The emergence of conspiracy theories in the wake of major events is a significant societal challenge. Here we test whether conversational dialogues with a large language model (LLM…
Large language models can effectively convince people to believe conspiracies
Thomas H. Costello, Kellin Pelrine, Matthew Kowal +6
Large language models (LLMs) have been shown to be persuasive across a variety of contexts. But it remains unclear whether this persuasive power advantages accuracy, or if bad acto…
It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics
Matthew Kowal, Jasper Timm, Jean-Francois Godbout +6
Persuasion is a powerful capability of large language models (LLMs) that both enables beneficial applications (e.g. helping people quit smoking) and raises significant risks (e.g.…