Science Daily November 1, 2019
Researchers at Dartmouth College present a detection model that captures a speaker’s intent by measuring his patterns of reasoning. Through empirical studies, these intent-driven reasoning patterns can identify as well as explain deceptive communications. They developed a unique approach and resulting algorithm that can tell deception apart from all benign communications by retrieving the universal features of deceptive reasoning. However, the framework is currently limited by the amount of data needed to measure a speaker’s deviation from their past arguments. The model which could be developed to extract opinion from “fake news,” among other uses, was recently published as part of a paper in Journal of Experimental & Theoretical Artificial Intelligence…read more. TECHNICAL ARTICLEÂ