Looking for red flags: using Facebook as a background screen in hiring
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
Social media has become a prominent resource during the selection process for organizations. While there is a vast amount of publicly available information on sites like Facebook, few organizations have been able to utilize this data efficiently in the decision making process. A possible use for social media, however, is the identification of antisocial tendencies within an applicant during a pre-employment screening. Our study seeks to utilize Facebook profiles of both convicts and civilians in determine if such publically available information could be used to predict criminal behavior and potential antisocial work behavior. The statuses of these public profiles will be web-scraped and analyzed via SAS Text Analytics to common themes and topics from both groups’ Facebook pages. The differences in and intensity of the extracted themes between the two groups will be used to try and predict criminal behavior and determine if could these Facebook indicators could be used as a part of an organization’s pre-screening process.
Date
10-22-2016
Subject
Industrial and organizational psychology
Document Type
posters
Language
English
Rights
http://rightsstatements.org/vocab/InC/1.0/
Looking for red flags: using Facebook as a background screen in hiring
Social media has become a prominent resource during the selection process for organizations. While there is a vast amount of publicly available information on sites like Facebook, few organizations have been able to utilize this data efficiently in the decision making process. A possible use for social media, however, is the identification of antisocial tendencies within an applicant during a pre-employment screening. Our study seeks to utilize Facebook profiles of both convicts and civilians in determine if such publically available information could be used to predict criminal behavior and potential antisocial work behavior. The statuses of these public profiles will be web-scraped and analyzed via SAS Text Analytics to common themes and topics from both groups’ Facebook pages. The differences in and intensity of the extracted themes between the two groups will be used to try and predict criminal behavior and determine if could these Facebook indicators could be used as a part of an organization’s pre-screening process.
Department
University of Tennessee at Chattanooga. Dept. of Psychology