Detection of Deception in a Virtual World | Collister | Linguistic Evidence in Security, Law and Intelligence

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About The Author

Lauren B. Collister
http://www.pitt.edu/~lbc8

University of Pittsburgh Institute for Linguistic Evidence
United States

Research Associate, Institute for Linguistic Evidence

Keywords Prosody, Speech Rhythms, Intonation, Information Structure author recognition court admissability deception detection, dialogue, discourse structure deception detection, online community, virtual world deception detection, opinion mining, Support Vector Machine, bag of words deception detection, statement analysis, SCAN, cross-linguistic variation detecting deception evaluation false confession, subjective awareness, incriminating evidence, interrogation techniques forensic linguistics linguistic corpus linguistic data collection, world wide web, Internet, human subjects protection, ground truth data, empirical linguistics, experiment design linguistic strategy morphosyntactic analysis narratives representativeness semantics speaker identification, automated speech processing, expert witnesses, Trayvon Martin text analysis witness statements

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Home > Vol 1, No 1 (2013) > Collister

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Articles in this journal are licensed under a Creative Commons Attribution 4.0 License.

This journal is published by the University Library System, University of Pittsburgh as part of its D-Scribe Digital Publishing Program and is cosponsored by the University of Pittsburgh Press.

LESLI is part of the Knowledge Dissemination program of the Institute for Linguistic Evidence and its membership TALE: The Association for Linguistic Evidence.

ISSN 2327-5596 (online)