Detecting deception through linguistic analysis

被引:0
|
作者
Burgoon, JK [1 ]
Blair, JP
Qin, TT
Nunamaker, JF
机构
[1] Univ Arizona, Ctr Management Informat, Tucson, AZ 85721 USA
[2] Michigan State Univ, Dept Criminal Justice, E Lansing, MI 48824 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Tools to detect deceit from language use. pose a promising avenue for increasing the ability to distinguish truthful transmissions, transcripts, intercepted messages, informant reports and the like from deceptive ones. This investigation presents preliminary tests of 16 linguistic features that can be automated to return assessments of the likely truthful or deceptiveness of a piece of text. Results from a mock theft experiment demonstrate that deceivers do utilize language differently than truth tellers and that combinations of cues can improve the ability to predict which texts may contain deception.
引用
收藏
页码:91 / 101
页数:11
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