Automatic deception detection in Italian court cases

Artificial Intelligence and Law

Volumn 21, Issue 3, 2013, Pages 303-340

  Fornaciari, Tommaso ^a   Poesio, Massimo ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

Criminal proceedings; Deception detection; Stylometry

Indexed keywords

COURT CASE; CRIMINAL PROCEEDINGS; DECEPTION DETECTION; LAB CONDITIONS; REAL LIFE DATA; STYLOMETRY;

ARTIFICIAL INTELLIGENCE;

MANAGEMENT;

EID: 84883247308     PISSN: 09248463     EISSN: 15728382     Source Type: Journal    
DOI: 10.1007/s10506-013-9140-4     Document Type: Article

References (57)

1. Adams SH (1996) Statement analysis: what do suspects' words really reveal? FBI Law Enforc Bull 65(10):12-20
2. Alparone F, Caso S, Agosti A, Rellini A (2004) The Italian LIWC2001 dictionary. LIWC.net, Austin
3. Artstein R, Poesio M (2008) Inter-coder agreement for computational linguistics. Comput Linguist 34(4):555-596
4. Bachenko J, Fitzpatrick E, Schonwetter M (2008) Verification and implementation of language-based deception indicators in civil and criminal narratives. In: Proceedings of the 22nd international conference on computational Linguistics - volume 1, COLING '08, pp 41-48, Stroudsburg, PA, USA. Association for Computational Linguistics
5. Bond CF, De Paulo BM (2006) Accuracy of deception judgments. Pers Soc Psychol Rev 10(3):214-234
6. Buller D, Burgoon J (1996) Interpersonal deception theory. Commun Theory 6:203-242
7. Chinchor N (1992) Muc-4 evaluation metrics. In: Proceedings of the 4th conference on message understanding, MUC4 '92, pp 22-29, Stroudsburg, PA, USA. Association for Computational Linguistics
8. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273-297
9. Coulthard M (2004) Author identification, idiolect, and linguistic uniqueness. Appl Linguist 25(4):431-447
10. Davatzikos C, Ruparel K, Fan Y, Shen D, Acharyya M, Loughead J, Gur R, Langleben D (2005) Classifying spatial patterns of brain activity with machine learning methods: application to lie detection. NeuroImage 28(3):663-668
11. De Paulo BM, Lindsay JJ, Malone BE, Muhlenbruck L, Charlton K, Cooper H (2003) Cues to deception. Psychol Bull 129(1):74-118
12. Ekman P (2001) Telling lies: clues to deceit in the marketplace, politics, and marriage. W.W. Norton
13. Feng S, Banerjee R, Choi Y (2012) Syntactic stylometry for deception detection. In: Proceedings of the 50th annual meeting of the association for computational linguistics (volume 2: Short Papers), pp 171-175, Jeju Island, Korea. Association for Computational Linguistics
14. Fitzpatrick E, Bachenko J (2009) Building a forensic corpus to test language-based indicators of deception. Lang Comput 71(1):183-196
15. Fitzpatrick E, Bachenko J (2012) Building a data collection for deception research. In: Proceedings of the workshop on computational approaches to deception detection, pp 31-38, Avignon, France. Association for Computational Linguistics
16. Forman G (2003) An extensive empirical study of feature selection metrics for text classification. J Mach Learn Res 3:1289-1305
17. Fornaciari T, Poesio M (2011) Sincere and deceptive statements in Italian criminal proceedings. In: Proceedings of the international association of forensic linguists 10th biennial conference, pp 126-138, Cardiff, Wales, UK
18. Frank MG, Feeley TH (2003) To catch a liar: challenges for research in lie detection training. J Appl Commun Res 31(1):58-75
19. Frank MG, Menasco MA, O'Sullivan M (2008) Human behavior and deception detection. In: Voeller JG (ed) Wiley handbook of science and technology for homeland security. Wiley, New York
20. Ganis G, Kosslyn S, Stose S, Thompson W, Yurgelun-Todd D (2003) Neural correlates of different types of deception: an fMRI investigation. Cereb Cortex 13(8):830-836
21. Giannone C, Basili R, Del Vescovo C, Naggar P, Moschitti A (2009) Kernel-based relation extraction from investigative data. In: Proceedings of the third workshop on analytics for noisy unstructured text data, AND '09, pp 93-100, New York, NY, USA. ACM
22. Gokhmann S, Hancock J, Prabhu P, Ott M, Cardie C (2012) In search of a gold standard in studies of deception. In: Fitzpatrick E, Bachenko J, Fornaciari T (eds) Proceedings of the EACL workshop on computational approaches to deception detection, pp 23-30
23. Hancock JT, Curry LE, Goorha S, Woodworth M (2008) On lying and being lied to: a linguistic analysis of deception in computer-mediated communication. Discourse Process 45(1):1-23
24. Hauch V, Blandón-Gitlin I, Masip J, Sporer SL (2012) Linguistic cues to deception assessed by computer programs: a meta-analysis. In: Fitzpatrick E, Bachenko J, Fornaciari T (eds) Proceedings of the workshop on computational approaches to deception detection, pp 1-4, Avignon
25. Ireland ME, Slatcher RB, Eastwick PW, Scissors LE, Finkel EJ, Pennebaker JW (2011) Language style matching predicts relationship initiation and stability. Psychol Sci 22(1):39-44
26. Jensen ML, Meservy TO, Burgoon JK, Nunamaker JF (2010) Automatic, multimodal evaluation of human interaction. Group Decis Negot 19(4):367-389
27. Karatzoglou A, Meyer D, Hornik K (2006) Support vector machines in r. J Stat Softw 15(9):1-28
28. Koppel M, Schler J, Argamon S, Pennebaker J (2006) Effects of age and gender on blogging. In: AAAI 2006 spring symposium on computational approaches to analysing weblogs
29. Levine TR, Feeley TH, McCornack SA, Hughes M, Harms CM (2005) Testing the effects of nonverbal behavior training on accuracy in deception detection with the inclusion of a bogus training control group. West J Commun 69(3):203-217
30. Lord RD (1958) Studies in the history of probability and statistics.: Viii. de morgan and the statistical study of literary style. Biometrika 45(1/2):282-282
31. Lutoslawski W (1898) Principes de stylomtrie. Revue des tudes grecques 41:61-81
32. Luyckx K, Daelemans W (2008) Authorship attribution and verification with many authors and limited data. In: Proceedings of the 22nd international conference on computational linguistics - volume 1, COLING '08, pp 513-520, Stroudsburg, PA, USA. Association for Computational Linguistics
33. Merikangas JR (2008) Commentary: functional mri lie detection. J Am Acad Psychiatry Law 36(4):499-501
34. Mosteller F, Wallace D (1964) Inference and disputed authorship: the federalist. Addison-Wesley, Reading
35. Newman ML, Pennebaker JW, Berry DS, Richards JM (2003) Lying words: predicting deception from linguistic styles. Pers Soc Psychol Bull 29(5):665-675
36. Niederhoffer KG, Pennebaker JW (2002) Linguistic style matching in social interaction. J Lang Soc Psychol 21(4):337-360
37. Peersman C, Daelemans W, Van Vaerenbergh L (2011) Age and gender prediction on netlog data. Presented at the 21st Meeting of Computational Linguistics in the Netherlands (CLIN21), Ghent, Belgium.
38. Pennebaker JW, Francis ME, Booth RJ (2001) Linguistic inquiry and word count (LIWC): LIWC2001. Lawrence Erlbaum Associates, Mahwah
39. Pepe G (ed) (1996) La falsa donazione di Costantino. Tea storica. TEA
40. Porter S, Woodworth M, Birt AR (2000) Truth, lies, and videotape: an investigation of the ability of federal parole officers to detect deception. Law Hum Behav 24(6):643-658
41. Sasaki Y (2007) The truth of the F-measure. Teach Tutor mater, pp 1-5
42. Schmid H (1994) Probabilistic part-of-speech tagging using decision trees. In: Proceedings of international conference on new methods in language processing
43. Simpson JR (2008) Functional mri lie detection: too good to be true? J Am Acad Psychiatry Law 36(4):491-498
44. Solan LM, Tiersma PM (2004) Author identification in american courts. Appl Linguist 25(4):448-465
45. Stein B, Koppel M, Stamatatos E (2007) Plagiarism analysis, authorship identification, and near-duplicate detection pan'07. SIGIR Forum 41:68-71
46. Strapparava C, Mihalcea R (2009) The lie detector: explorations in the automatic recognition of deceptive language. In: Proceeding ACLShort '09 - proceedings of the ACL-IJCNLP 2009 conference short papers
47. Undeutsch U (1967) Beurteilung der Glaubhaftigkeit von Aussagen [Veracity assessment of statements]. In: Undeutsch U (ed) Handbuch der psychologie: vol 11. Forensische Psychologie. Hogrefe, Gottingen, pp 26-181
48. Undeutsch U (1982) Statement reality analysis. In: Trankell A (ed) Reconstructing the past: the role of psychologists in criminal trials. Kluwer, Deventer, pp 27-56
49. Undeutsch U (1984) Courtroom evaluation of eyewitness testimony. Appl Psychol 33(1):51-66
50. Vaassen F, Daelemans W (2011) Automatic emotion classification for interpersonal communication. In: 2nd workshop on computational approaches to subjectivity and sentiment analysis (WASSA 2.011)
51. Vrij A (2008) Detecting lies and deceit: pitfalls and opportunities. Wiley series in psychology of crime, policing and law, 2nd edition. Wiley, Chichester
52. Vrji A (2005) Criteria-based content analysis - a qualitative review of the first 37 studies. Psychol Public Policy Law 11(1):3-41
53. Walczyk JJ, Roper KS, Seemann E, Humphrey AM (2003) Cognitive mechanisms underlying lying to questions: response time as a cue to deception. Appl Cogn Psychol 17(7):755-774
54. Wang JT, Spezio M, Camerer CF (2010) Pinocchio's pupil: using eyetracking and pupil dilation to understand truth telling and deception in sender-receiver games. Am Econ Rev 100(3):984-1007
55. Yang Y, Liu X (1999) A re-examination of text categorization methods. In: Proceedings of the 22nd annual international ACM SIGIR conference on research and development in information retrieval, SIGIR '99. ACM, New York, pp 42-49
56. Yang Y, Pedersen JO (1997) A comparative study on feature selection in text categorization. CiteSeerX - Scientific Literature Digital Library and Search Engine [ http://citeseerx.ist.psu.edu/oai2 ] (United States)
57. Zhou L, Shi Y, Zhang D (2008) A statistical language modeling approach to online deception detection. IEEE Trans Knowl Data Eng 20(8):1077-1081