ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
The episode explores the ConspirED dataset, a collection of snippets from online conspiracy articles categorized by specific cognitive traits. The research shows that while large language models can detect these complex signatures, they often struggle with safety, tending to reproduce the original reasoning patterns when asked to generate fact-checked counter-narratives.