papersTODAY 04:00 UTC
Audio encoders detect managerial evasiveness in earnings calls
A new arXiv preprint presents an approach that uses conversational audio encoders to spot evasive language from managers during earnings conference calls. Rather than aggregating vocal and lexical features across an entire call, the method analyzes the conversational dynamics between analysts and executives. Prior research has tied such cues to later negative outcomes for firms, and this work aims to capture them more precisely.