Abstract
Previous research into deception detection has argued that deception is more cognitively demanding than truth-telling. This additional cognitive load can lead to changes in linguistic and non-linguistic behavior, which in turn can be considered cues to deception (e.g., DePaulo, Lindsay, Malone, Muhlenbruck, Charlton, & Cooper, 2003). While the majority of deception research is rooted in psychology, this research approaches deception from a linguistics perspective by proposing and empirically testing a feature of language used to manage the cognitive demands of interpersonal communication. Since formulaic sequences—an umbrella term for sequences of words including metaphors, clichés, collocations, and routinized phrases—are stored holistically as single lexical items, they make the act of producing language less cognitively demanding. It is therefore hypothesized that individuals may seek to compensate for the additional cognitive demands of lying by increasing their reliance on formulaic sequences. To test this assertion, formulaic sequences were identified in a corpus of 1600 deceptive and truthful hotel reviews (Ott, Choi, Cardie & Hancock, 2011), totaling 239,113 words, using an automated procedure based on a specially compiled dictionary of formulaic sequences. The results shed light on the relationship between formulaic sequences and deceptive language, their potential role in detecting deception, and the generalizability of findings to other types of texts.
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References
Anthony, L. (2016). AntConc version 3.4.4. Tokyo, Japan: Waseda University.
Buller, D., & Burgoon, J. (1996). Interpersonal deception theory. Communication Theory,6(3), 203–242. https://doi.org/10.1111/j.1468-2885.1996.tb00127.x.
Corrigan, R., Moravcsik, E., Ouali, H., & Wheatley, K. (2009). Introduction. Approaches to the study of formuale. In R. Corrigan, E. Moravcsik, H. Ouali, & K. Wheatley (Eds.), Formulaic language: Distribution and historical change (Vol. 1, pp. xi–xxiv). Amsterdam: John Benjamins Publishing Co. https://doi.org/10.1075/tsl.82.02cor.
DePaulo, B. (1992). Nonverbal behaviour and self presentation. Psychological Bulletin,111(2), 203–243. https://doi.org/10.1037//0033-2909.111.2.203.
DePaulo, B., Lindsay, J., Malone, B., Muhlenbruck, L., Charlton, K., & Cooper, H. (2003). Cues to deception. Psychological Bulletin,129(1), 74–118. https://doi.org/10.1037//0033-2909.129.1.74.
Erman, B., & Warren, B. (2000). The idiom principle and the open choice principle. Text,20(1), 29–62. https://doi.org/10.1515/text.1.2000.20.1.29.
Fillmore, C. (1979). On fluency. In C. Fillmore, D. Kempler, & W. S.-Y. Wang (Eds.), Individual differences in language ability and language behavior (pp. 85–101). London: Academic Press. https://doi.org/10.1016/b978-0-12-255950-1.50012-3.
Galasiński, D. (2000). The language of deception: A discourse analytical study. London: Sage. https://doi.org/10.4135/9781452220345.
Kecskés, I. (2000). A cognitive-pragmatic approach to situation-bound utterances. Journal of Pragmatics,32, 605–625. https://doi.org/10.1016/s0378-2166(99)00063-6.
Larner, S. (2014). A preliminary investigation into the use of fixed formulaic sequences as a marker of authorship. The International Journal of Speech, Language and the Law,21(1), 1–22. https://doi.org/10.1558/ijsll.v21i1.1.
Moon, R. (1998). Frequencies and forms of phrasal lexemes in English. In A. P. Cowie (Ed.), Phraseology: Theory, analysis and applications (pp. 79–100). Oxford: Oxford University Press.
Nattinger, J. R., & DeCarrico, J. S. (1992). Lexical phrases and language teaching. Oxford: Oxford University Press.
Ott, M., Cardie, C., & Hancock, J. (2013). Negative deceptive opinion spam. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 497–501). Atlanta, USA: Association for Computational Linguistics.
Ott, M., Choi, Y., Cardie, C., & Hancock, J. (2011). Finding deceptive opinion spam by any stretch of the imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (pp. 309–319). Portland, USA: Association for Computational Linguistics.
Pawley, A., & Syder, F. (1983). Two puzzles for linguistic theory: Nativelike selection and nativelike fluency. In J. Richards & R. Schmidt (Eds.), Language and communication (pp. 191–226). New York: Longman.
Read, J., & Nation, P. (2004). Measurement of formulaic sequences. In N. Schmitt (Ed.), Formulaic sequences (pp. 23–35). Amsterdam: John Benjamins Publishing Co. https://doi.org/10.1075/lllt.9.03rea.
Scott, M. (2017). WordSmith tools version 7. Stroud: Lexical Analysis Software.
Shuy, R. W. (1998). The language of confession, interrogation, and deception. London: Sage. https://doi.org/10.4135/9781452229133.
Stubbs, M., & Barth, I. (2003). Using recurrent phrases as text-type discriminators: A quantitative method and some findings. Functions of Language,10(1), 61–104. https://doi.org/10.1075/fol.10.1.04stu.
Van Lancker-Sidtis, D., & Rallon, G. (2004). Tracking the incidence of formulaic expressions in everyday speech: Methods for classification and verification. Language & Communication,24, 207–240. https://doi.org/10.1016/j.langcom.2004.02.003.
Vrij, A., Anders Granhag, P., Mann, S., & Leal, S. (2011). Outsmarting the liars: Towards a cognitive lie detection approach. Current Directions in Psychological Science,20(1), 28–32. https://doi.org/10.1177/0963721410391245.
Wray, A. (2002). Formulaic language and the lexicon. Cambridge: Cambridge University Press. https://doi.org/10.1017/cbo9780511519772.
Wray, A. (2006). Formulaic language. In E. K. Brown (Ed.), The encyclopedia of language and linguistics (pp. 590–597). Oxford: Elsevier. https://doi.org/10.1016/b0-08-044854-2/04777-5.
Wray, A. (2008). Formulaic language: Pushing the boundaries. Oxford: Oxford University Press.
Zuckerman, M., DePaulo, B. M., & Rosenthal, R. (1981). Verbal and nonverbal communication of deception. Advances in Experimental Social Psychology,14, 1–59. https://doi.org/10.1016/s0065-2601(08)60369-x.
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Larner, S. (2019). Formulaic Sequences as a Potential Marker of Deception: A Preliminary Investigation. In: Docan-Morgan, T. (eds) The Palgrave Handbook of Deceptive Communication. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-96334-1_17
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