Cues to Deception in Social Media Communications

被引:21
|
作者
Briscoe, Erica J. [1 ]
Appling, D. Scott [1 ]
Hayes, Heather [1 ]
机构
[1] Georgia Tech Res Inst, Atlanta, GA 30332 USA
来源
2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS) | 2014年
关键词
DETECTING DECEPTION;
D O I
10.1109/HICSS.2014.186
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the increasing reliance on social media as a dominant communication medium for current news and personal communications, communicators are capable of executing deception with relative ease. While past-related research has investigated written deception in traditional forms of computer mediated communication (e.g. email), we are interested determining if those same indicators hold in social media-like communication and if new, social-media specific linguistic cues to deception exist. Our contribution is two-fold: 1) we present results on human subjects experimentation to confirm existing and new linguistic cues to deception; 2) we present results on classifying deception from training machine learning classifiers using our best features to achieve an average 90% accuracy in cross fold validation.
引用
收藏
页码:1435 / 1443
页数:9
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