Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Characterizing Female Workplace Bullying via Social Media

Version 1 : Received: 23 August 2020 / Approved: 25 August 2020 / Online: 25 August 2020 (04:13:59 CEST)

How to cite: Ahmed, S.; Rajput, A.E.; Sarirete, A.; Bahwireth, R.; Almehmadi, A.; Khimi, W. Characterizing Female Workplace Bullying via Social Media. Preprints 2020, 2020080536. https://doi.org/10.20944/preprints202008.0536.v1 Ahmed, S.; Rajput, A.E.; Sarirete, A.; Bahwireth, R.; Almehmadi, A.; Khimi, W. Characterizing Female Workplace Bullying via Social Media. Preprints 2020, 2020080536. https://doi.org/10.20944/preprints202008.0536.v1

Abstract

Motivated by the #Metoo movement, we explore in this paper people’s perception of female bullying at workplace. We looked at #workplacebullying and found that 1) people were split between identifying the prevalence of workplace bullying against female and the view that such bullying simply does not exist and is a nuisance, 2) The tweets also showed the existence of psychological effects of cyberbullying, and 3) the tweets showed many intervention techniques that can minimize the effects of such bullying. We further explored the top three recurring hashtags mentioned under the #workplacebullying and found that the three top hashtags were #sexism, #feminism and #equality. Our results showed that the above hashtags represent the positive and negative approach to workplace bullying i.e. #feminism hashtag was mostly used by people who denied that workplace bullying against females exist while # sexism was mentioned as the prime cause by people who agree that such bullying exist. #equality overwhelmingly comprises of techniques to minimize workplace bullying against females.

Keywords

Big Data; Natural Language Processing; Social Media; Female Workplace Bullying, Crowdsourcing; Social Computing

Subject

Computer Science and Mathematics, Information Systems

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