The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language

Description:

This paper discusses explorations in the automatic recognition of deceptive language.

Creator(s):
Creation Date: 2009  
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Total Uses: 132
Past 30 days: 12
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Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Creator (Author):
Strapparava, Carlo, 1962-

Fondazione Bruno Kessler (FBK)-IRST

Date(s):
  • Creation: 2009
Description:

This paper discusses explorations in the automatic recognition of deceptive language.

Degree:
Note:

Abstract: In this paper, we present initial experiments in the recognition of deceptive language. We introduce three data sets of true and lying texts collected for this purpose, and the authors show that automatic classification is a viable technique to distinguish between truth and falsehood as expressed in language. We also introduce a method for class-based feature analysis, which sheds some light on the features that are characteristic for deceptive text.

Physical Description:

4 p.

Language(s):
Subject(s):
Keyword(s): automatic classifications | feature analysis | deceptive texts
Source: Forty-Seventh Annual Meeting of the Association for Computational Linguistics (ACL), 2009, Singapore
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31019
Resource Type: Paper
Format: Text
Rights:
Access: Public