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Combining Acoustic-Prosodic, Lexical, and Phonotactic Features for Automatic Deception Detection.

, , , , , and . INTERSPEECH, page 2006-2010. ISCA, (2016)

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Hybrid Acoustic-Lexical Deep Learning Approach for Deception Detection., , , and . INTERSPEECH, page 1472-1476. ISCA, (2017)Automatically Classifying Self-Rated Personality Scores from Speech., , , , , and . INTERSPEECH, page 1412-1416. ISCA, (2016)Linguistic Cues to Deception and Perceived Deception in Interview Dialogues., , and . NAACL-HLT, page 1941-1950. Association for Computational Linguistics, (2018)GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning., and . ArgMining@EMNLP, page 162-166. Association for Computational Linguistics, (2023)Asian hate speech detection on Twitter during COVID-19., , , and . Frontiers Artif. Intell., (2022)Entrainment, dominance and alliance in supreme court hearings., , , , , and . Knowl. Based Syst., (2014)Improving Cross-domain, Cross-lingual and Multi-modal Deception Detection., and . ACL (student), page 383-390. Association for Computational Linguistics, (2022)Identifying the Popularity and Persuasiveness of Right- and Left-Leaning Group Videos on Social Media., , , , , , and . IEEE BigData, page 2454-2460. IEEE, (2021)Acoustic-Prosodic and Lexical Cues to Deception and Trust: Deciphering How People Detect Lies., , , , and . Trans. Assoc. Comput. Linguistics, (2020)Deception in Spoken Dialogue: Classification and Individual Differences.. Columbia University, USA, (2019)