HR Machine Learning on Social Media Data

Authors

Jake Harrison, Utah State UniversityFollow

Files

Streaming Media

Description

Human resource departments gather data from various sources to help make effective decisions related to recruitment, selection, strategic planning, and employee management. Social media profiles (e.g., Facebook, Twitter, LinkedIn) are one recent source that many companies are turning to in order to gather unique information about current and prospective employees. The increasing abilities of artificial intelligence and machine learning may have an impact on the ease and validity of using social media information from applicants and employees to make employment decisions. In this research, we use previously published scholarly and trade sources to explain how HR personnel could use social media data in conjunction with machine learning to recruit, select, monitor, and communicate with potential or current employees. We further discuss associated ethical and legal risks and provide guidance for future research on this topic.

Publisher

Utah State University

Publication Date

12-10-2020

Disciplines

Business

Recommended Citation

Harrison, Jake, "HR Machine Learning on Social Media Data" (2020). Fall Student Research Symposium 2020. 26.
https://digitalcommons.usu.edu/fsrs2020/26