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Computational Measures of Deceptive Language: Prospects and Issues
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In: ISSN: 2297-900X ; EISSN: 2297-900X ; Frontiers in Communication ; https://hal.archives-ouvertes.fr/hal-03629780 ; Frontiers in Communication, Frontiers, 2022, 7, pp.792378. ⟨10.3389/fcomm.2022.792378⟩ (2022)
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A corpus-based investigation into verbal cues to deception and their sociolinguistic distribution ...
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Editors’ Review and Introduction: Lying in Logic, Language, and Cognition
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In: ISSN: 1756-8757 ; EISSN: 1756-8765 ; Topics in cognitive science ; https://hal.archives-ouvertes.fr/hal-03014151 ; Topics in cognitive science, Wiley, 2020, 12 (2), pp.466-484. ⟨10.1111/tops.12492⟩ (2020)
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Fake Opinion Detection: How Similar are Crowdsourced Datasets to Real Data?
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Deception in Spoken Dialogue: Classification and Individual Differences
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Determining indicators of deception in computer mediated communication using eye tracking
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In: Graduate Theses and Dissertations (2018)
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Character N-Grams for Detecting Deceptive Controversial Opinions
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A survey on author profiling, deception, and irony detection for the Arabic language
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Tracking the truth: the effect of face familiarity on eye fixations during deception
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Detecting Deceptive Opinions: Intra and Cross-domain Classification using an Efficient Representation
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Differences in Language Used by Deceivers and Truth-Tellers in Thai Online Chat
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In: Journal of the Southeast Asian Linguistics Society, Vol 10, Iss 2, Pp 90-114 (2017) (2017)
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A Corpus Driven Computational Intelligence Framework for Deception Detection in Financial Text
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Truth in text: Why simple language is perceived as more credible
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Identifying Universal Linguistic Features Associated with Veracity and Deception
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In: DTIC (2015)
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Exoneration or Observation? Examining a Novel Difference Between Liars and Truth Tellers
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In: FIU Electronic Theses and Dissertations (2015)
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Are computers effective lie detectors? : a meta-analysis of linguistic cues todeception
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In: Personality and Social Psychology Review 19(4): 307– 342, DOI:10.1177/1088868314556539 (2015)
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