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With this data we built classifiers to automatically distinguish trusted from mistrusted speech, achieving an F1 of 66.1%. We next evaluated whether the strategies raters said they used to discriminate between truthful and deceptive responses were in fact useful. Our results show that, although several prosodic and lexical features were consistently perceived as trustworthy, they were not reliable cues. Also, the strategies that judges reported using in deception detection were not helpful for the task. Our work sheds light on the nature of trusted language and provides insight into the challenging problem of human deception detection.<\/jats:p>","DOI":"10.1162\/tacl_a_00311","type":"journal-article","created":{"date-parts":[[2020,4,17]],"date-time":"2020-04-17T16:51:34Z","timestamp":1587142294000},"page":"199-214","source":"Crossref","is-referenced-by-count":30,"title":["Acoustic-Prosodic and Lexical Cues to Deception and Trust: Deciphering How People Detect Lies"],"prefix":"10.1162","volume":"8","author":[{"given":"Xi","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Computer Science, Columbia University, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Ita Levitan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Columbia University, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle","family":"Levine","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Columbia University, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marko","family":"Mandic","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Columbia University, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia","family":"Hirschberg","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Columbia University, New York, NY, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","reference":[{"key":"bib1","first-page":"6","volume":"15","author":"Aamodt Michael","year":"2006","journal-title":"The Forensic Examiner"},{"key":"bib2","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.2007.19.2.287"},{"key":"bib3","first-page":"15","volume-title":"Proceedings of the International AAAI Conference on Web and Social Media","volume":"13","author":"Addawood Aseel","year":"2019"},{"key":"bib4","doi-asserted-by":"crossref","first-page":"1052","DOI":"10.1016\/j.jesp.2009.05.017","volume":"45","author":"Albrechtsen Justin S.","year":"2009","journal-title":"Journal of Experimental Social Psychology"},{"issue":"08","key":"bib5","first-page":"41","volume-title":"Proceedings of the 22Nd International Conference on Computational Linguistics - Volume 1","author":"Bachenko Joan","year":"2008"},{"issue":"1","key":"bib6","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Benjamini Yoav","year":"1995","journal-title":"Journal of the Royal Statistical Society: Series B (Methodological)"},{"key":"bib7","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1111\/j.1468-2958.2010.01382.x","volume":"36","author":"Pete Blair J.","year":"2010","journal-title":"Human Communication Research - HUM COMMUN RES"},{"key":"bib8","unstructured":"Paul Boersma and David Weenink. 2009. 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