Deception detection for the tangled web

Authors:
Anna Vartapetiance;Lee Gillam
Affiliations:
University of Surrey;University of Surrey
Venue:
ACM SIGCAS Computers and Society
Year:
2012

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Abstract

Deception is a reasonably common part of daily life that society sometimes demonstrates a degree of acceptance of, and occasionally people are very willing to be deceived. But can a computer identify deception and distinguish it from that which is not deceptive? We explore deception in various guises, differentiating it from lies, and highlighting the influence of medium and message in both deception and its detection. Our investigations to date have uncovered disagreements relating to the measurements of such cues, and variations in interpretations, as could be problematic in building a deception detection system.