Date of Award

Summer 2018

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Psychology

Committee Director

Richard N. Landers

Committee Member

Xiaoxiao Hu

Committee Member

Alan Meca

Abstract

Deceptive impression management (IM) is often used by applicants in employment interviews to improve their chances of receiving a job offer. Self-report measures of deceptive IM are typically used to evaluate interview faking in a lab setting but are limited when used in practice due to social desirability concerns. Given this limitation, natural language processing (NLP) has potential as a tool to unobtrusively assess raw interview content and measure deceptive IM. This study examined the use of open and closed-vocabulary NLP approaches for the detection of deceptive IM in mock employment interviews. In general, neither of these approaches successfully predicted deceptive IM. Several possible conclusions based on these findings are discussed. However, given the lack of empirical support for this method, organizations should proceed with caution when deciding to use NLP techniques to predict deceptive IM in employment interviews.

DOI

10.25777/yx69-dy97

ISBN

9780438455368

ORCID

0000-0003-2056-1764

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