Is It Possible to Recognize Apple Employees by Their LinkedIn Profile Picture?

Thanakij Wanavit, Leslie Klieb

2021

Abstract

Samples of images from the portraits on the profiles of members of the social media site LinkedIn who live in the Bay Area of San Francisco were collected and analyzed by the EmoPy package for the presence of seven emotions. A Random Forest classifier used these probabilities to predict if the members were employed by Apple or not. Accuracy reached around 62% compared with a naive error rate of 50%. An error analysis shows that this result is significant and robust. A connection between the data and Apple’s organizational culture is pointed out.

Paper Citation

in Harvard Style

Wanavit T. and Klieb L. (2021). Is It Possible to Recognize Apple Employees by Their LinkedIn Profile Picture?. In Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: NCTA; ISBN 978-989-758-534-0, SciTePress, pages 277-284. DOI: 10.5220/0010642300003063

in Bibtex Style

@conference{ncta21,
author={Thanakij Wanavit and Leslie Klieb},
title={Is It Possible to Recognize Apple Employees by Their LinkedIn Profile Picture?},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: NCTA},
year={2021},
pages={277-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010642300003063},
isbn={978-989-758-534-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: NCTA
TI - Is It Possible to Recognize Apple Employees by Their LinkedIn Profile Picture?
SN - 978-989-758-534-0
AU - Wanavit T.
AU - Klieb L.
PY - 2021
SP - 277
EP - 284
DO - 10.5220/0010642300003063
PB - SciTePress