Denial, acceptance and intervention in society regarding female workplace bullying - A mental health study on social media
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.70Keywords:
workplace bullying, female bullying, natural language processing, Big Data, sentiment analysis, social computing, machine learning, female bullyingDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Awareness surrounding the #MeToo movement prompts a crucial question: How does society perceive female harassment? Acknowledging the broad nature of this inquiry, we refined our focus to examine society’s perception, specifically concerning workplace bullying of females. This paper dissects the topic of female workplace bullying, revealing distinct perspectives on denial, acceptance, and intervention held by mental health practitioners. Our study initially adopted a broad perspective, investigating society’s outlook on workplace bullying, which we subsequently narrowed down to female workplace bullying. Our preliminary findings unveiled (1) Society’s stance on this issue appeared divided between denial and acceptance, (2) Individuals affected by workplace bullying, particularly females, exhibited clear signs of negative psychological impact, and (3) Interestingly, discussions within society revolved around various intervention techniques aimed at mitigating these psychological effects. To delve deeper into the exploration of intervention techniques, we analyzed the most frequently mentioned hashtags. Consequently, these hashtags shed light on three primary characteristics associated with mental health practitioners: denial, acceptance, and intervention. Our research, employing a natural language processing (NLP) approach, identified these three characteristics as separate hashtags.Abstract
How to Cite
Downloads
Similar Articles
- UMASHANKAR SHUKLA, ANIL K. UPADHYAY, MATHEMATICAL MODEL FOR INFECTION AND REMOVAL IN POPULATION , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- Amanda Q. Okronipa, Jones Y. Nyame, Exploring the effect of perceived empathy and social presence on the intention to use AI in higher education , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ruchi Sharma, Deepa ., Shelly Tyagi, Anju Panwar, Anju Panwar, Satyendra Kumar, Charu Tyagi, Yougesh Kumar, On Annual Cycle of Monogenean Parasites Infestation in Freshwater Fish Pangasius pangasius , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Prabu Gopal, M. Jeyaseelan, Familial support of rural elderly in indian family system: A sociological analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- A. Anand, A. Nisha Jebaseeli, A comparative analysis of virtual machines and containers using queuing models , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Krishna P. Kalyanathaya, Krishna Prasad K, A novel method for developing explainable machine learning framework using feature neutralization technique , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Deo Narayan, C. D. Agashe, K. D. Verma, Impact of Different Individual Games on Selected Personality Traits , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Shaheen Fatima, Priyanka Suryavanshi, Urban slum children in Lucknow: Exploring nutritional status and complementary feeding practices , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Ahmed Mustefa, Ethiopian Voluntary Resettlement Programme-Lesson to Learn , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Panda Aditi Ambarish, Kaushik Trivedi, Immersive learning: A virtual reality teaching model for enhancing english speaking skills , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
<< < 21 22 23 24 25 26 27 28 29 30 > >>
You may also start an advanced similarity search for this article.