Researchers at Florida State University and Stanford are developing an "online polygraph" that detects lies in text — without the contextual clues that can hint at deception in a face-to-face conversation.
Details: In experiments, the researchers found that liars used more florid prose and often expressed certainty, while truth-tellers responded more slowly and with words like "perhaps," "guess" and "could." They designed a machine learning system that can pick up on these subtle cues to correctly separate out liars from truth-tellers about three-quarters of the time. The results were published in the journal Computers in Human Behavior.