Researchers Can Detect Lies

Tuesday, November 12, 2019 - 14:45

Researchers of Thayer School of Engineering have succeeded in developing a kind of framework which can detect deception.

According to the Dartmouth report, researchers of Thayer School of Engineering proposed a model that its result published in the Journal of Experimental and Theoretical Artificial Intelligence, uses patterns of reasoning to better capture speaker intent.

Co-authors Deqing Li, said that the theoretical framework arose out of her work on knowledge-based systems, which she said allows researchers to “simulate the knowledge in a person’s brain.”

“Basically, we were trying to figure out how can we simulate humans’ reading process or simulate the dynamics between different groups in a society using a sort of knowledge based system,” Li said. “Deception detection [was] one application for this.”

Functionally, Li said that the model she proposes uses chained conditional statements to gauge the probability that an initial claim is true.

Government professor Brendan Nyhan,who specializes in the study of misinformation and misperceptions and is the founder of one of the first online, nonpartisan fact-checking sites noted that “It’s that combination of computational screening and human intelligence that is likely to be the most effective approach.”


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