Title

Looking for red flags: using Facebook as a background screen in hiring

Department

University of Tennessee at Chattanooga. Dept. of Psychology

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

Under copyright.

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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.