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In search of a gold standard in studies of deception


In this study, we explore several popular techniques for obtaining corpora for deception research. Through a survey of traditional as well as non-gold standard creation approaches, we identify advantages and limitations of these techniques for web-based deception detection and offer crowd-sourcing as a novel avenue toward achieving a gold standard corpus. Through an in-depth case study of online hotel reviews, we demonstrate the implementation of this crowdsourcing technique and illustrate its applicability to a broad array of online reviews.

S. Gokhman
J.T. Hancock
P. Prahbu
M. Ott
C. Cardie
Proceedings of the European Association of Computational Linguistics (EACL) Workshop on Deception Detection. [acceptance rate: 27%]
Publication Date
April 23, 2012