Title: Prediction of software engineering careers from Instagram personality traits

Authors: B. Madhuravani

Addresses: Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, Telangana, India; Affiliated to: Jawaharlal Technological University Hyderabad, India

Abstract: A social networking platform named Instagram is one of the most popular platforms that we spend time on. The data from user-generated Instagram posts may be helpful to gauge the personalities of people. Previously, experiments that utilised Instagram data for personality appraisal and visualisation for professional reasons were not accessible for public usage. This research helps to recognise personality styles that are common of the Instagram culture. A computational score is generated and a model is built by using these scores in job suggestions that complement the personality of the individual. In the creation of a test score, Instagram's personality score is benchmarked against a five-factor personality model (FFPM) test score to assess how reliable it is. The statistical grade scale on Instagram personality and the FFPM test is very strong and reported 92.4%. This research will help employers identify candidates that match their company's needs by gauging their personalities.

Keywords: Instagram; personality; five-factor personality model; FFPM; software engineering careers.

DOI: 10.1504/IJEB.2023.127529

International Journal of Electronic Business, 2023 Vol.18 No.1, pp.30 - 50

Received: 13 Feb 2021
Accepted: 18 Jun 2021
Published online: 07 Dec 2022 *