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Author Jensen, Matthew L ♦ Burgoon, Judee K ♦ Nunamaker, Jay F
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Credibility assessment ♦ Deception detection ♦ Decision-aids ♦ Human-computer interaction ♦ Information veracity ♦ Kinesics ♦ Linguistics
Abstract One of the most pernicious threats to information quality comes through perpetration of deception by information suppliers. Deception undermines many critical dimensions of information quality, such as accuracy, completeness, and believability. Despite this threat, information gatherers are ill equipped to assess the credibility of information suppliers. This work presents a prototype system that examines messages gathered during direct, face-to-face information gathering. The system unobtrusively identifies kinesic and linguistic features that may indicate deception in information suppliers’ messages. System use was found to significantly improve assessment ability in between-subjects and within-subjects tests. The improved ability to accurately assess credibility during face-to-face interactions should yield higher information quality.
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-07-01
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 2
Issue Number 1
Page Count 20
Starting Page 1
Ending Page 20


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Source: ACM Digital Library