Cited By
View all- Volkova SJang JChampin PGandon FMédini LLalmas MIpeirotis P(2018)Misleading or FalsificationCompanion Proceedings of the The Web Conference 201810.1145/3184558.3188728(575-583)Online publication date: 23-Apr-2018
Building a data collection for deception research
Pages 31 - 38
Abstract
Research in high stakes deception has been held back by the sparsity of ground truth verification for data collected from real world sources. We describe a set of guidelines for acquiring and developing corpora that will enable researchers to build and test models of deceptive narrative while avoiding the problem of sanctioned lying that is typically required in a controlled experiment. Our proposals are drawn from our experience in obtaining data from court cases and other testimony, and uncovering the background information that enabled us to annotate claims made in the narratives as true or false.
References
[1]
Joan Bachenko, Eileen Fitzpatrick and Michael Schonwetter. 2008. Verification and Implementation of Language-based Deception Indicators in Civil and Criminal Narratives. Proceedings of the 22nd International Conference on Computational Linguistics (COLING 2008). University of Manchester, Manchester, UK.
[2]
Eileen Fitzpatrick and Joan Bachenko. 2010. Building a Forensic Corpus to Test Language-based Indicators of Deception. Corpus Linguistics in North America 2008: Selections from the Seventh North American Symposium of the American Association for Corpus Linguistics. Gries, S., S. Wulff and M. Davies (eds.). Series in Language and Computers. Rodopi.
[3]
Tommaso Fornaciari and Massimo Poesio. 2011. Lexical vs. Surface Features in Deceptive Language Analysis, Workshop: Legal Applications of Human Language Technology. 13th International Conference on Artificial Intelligence and Law. June 6--10. University of Pittsburgh.
[4]
Julia Hirschberg, Stefan Benus, Jason M. Brenier, Frank Enos, Sarah Friedman, Sarah Gilman, Cynthia Girand, Martin Graciarena, Andreas Kathol, Laura Michaelis, Bryan L. Pellom, Elizabeth Shriberg, Andreas Stolcke. 2005. "Distinguishing Deceptive from Non-Deceptive Speech," INTERSPEECH 2005, Lisbon, September.
[5]
David F. Larcker and Anastasia A. Zakolyukina. 2010. Detecting deceptive discussions in conference calls. Rock Center for Corporate Governance. Working Paper Series No. 83.
[6]
Roser Sauri and James Pustejovsky. 2009. FactBank 1.0. Linguistic Data Consortium, Philadelphia.
[7]
James B. Stiff, Steve Corman, Robert Krizek, and Eric Snider. 1994. Individual differences and changes in nonverbal behavior; Unmasking the changing faces of deception. Communication Research, 21, 555--581.
[8]
Aldert Vrij. 2008. Detecting Lies and Deceit: Pitfalls and Opportunities, 2nd. Edition. Wiley-Interscience.
[9]
Code of Federal Regulations. Retrieved Jan. 26, 2012 http://www.hhs.gov/ohrp/humansubjects/guidance/45cfr46.html#46.102
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April 2012
116 pages
Publisher
Association for Computational Linguistics
United States
Publication History
Published: 23 April 2012
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Cited By
View all- Volkova SJang JChampin PGandon FMédini LLalmas MIpeirotis P(2018)Misleading or FalsificationCompanion Proceedings of the The Web Conference 201810.1145/3184558.3188728(575-583)Online publication date: 23-Apr-2018
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