Innovations in Recruitment—Social Media

Abstract

The main objective and contribution of the paper is to describe the creation of a model to support recruitment using social media information and its deployment in practice. The model includes the design of an automated solution for downloading social media data and a proposal for the subsequent analysis and creation of a predictive model based on the evaluation of user behavior on a social network. A final assessment of the effectiveness of the proposed model was made through formal validation and a case study. For the case study validation, the proposed model was implemented through use of the recruitment application called Prace Na Miru (PM; Tailored Work) for Facebook data extraction. A Myers Briggs Type Indicator (MBTI) personality test was used to determine the predictors of user social network behavior. Using cluster analysis and machine learning (or decision trees), a stochastic predictive model was developed to determine the personality type of candidates-the accuracy of MBTI personality category prediction ranges between 68% and 84% for individual cases, with a confirmation rate ranging between 43% and 81%. The case study confirmed the model's usefulness for supporting recruitment in a real-life deployment of the PM model.