Title :
Predicting Veracity from Linguistic Indicators
Author :
Burgoon, Judee K. ; Hamel, Lauren ; Qin, Tiantian
Author_Institution :
Center for the Manage. of Inf., Univ. of Arizona Tucson, Tucson, AZ, USA
Abstract :
Ample scientific research has confirmed significant linguistic differences between truthful and deceptive discourse in both laboratory and field experiments. The current investigation focused on whether indicators of truth or deception are context-independent or are influenced by two context factors: motivation and modality. A 2 (veracity: truthful/deceptive) by 2 (incentives: high/low) by 3 (modality: FtF/audio/text) factorial experiment revealed that linguistic indicators are significantly related to veracity but results are highly sensitive to contextual factors.
Keywords :
computational linguistics; trusted computing; contextual factors; deceptive discourse; linguistic indicators; modality factor; motivation factor; truthful discourse; veracity prediction; Complexity theory; Context; Dictionaries; Educational institutions; Interviews; Pragmatics; Redundancy; deception; linguistics; modality; motivation; veracity;
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2012 European
Conference_Location :
Odense
Print_ISBN :
978-1-4673-2358-1
DOI :
10.1109/EISIC.2012.21
