Abstract
The proliferation of social media use in daily life has introduced a new practice in today’s society: posting about suicidal ideation or intent online. Recent trends in social media reflect a movement towards different forms of male and female empowerment that impact gender norms, and thus, may impact social categorization. This pilot study explores posts from r/SuicideWatch that include discussions of gender and its implications for online conceptions of social identity. We use computational methods borrowed from natural language processing to analyze this impact from a novel perspective rarely seen in sociology.- Anthology ID:
- 2023.nlp4dh-1.23
- Volume:
- Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages
- Month:
- December
- Year:
- 2023
- Address:
- Tokyo, Japan
- Editors:
- Mika Hämäläinen, Emily Öhman, Flammie Pirinen, Khalid Alnajjar, So Miyagawa, Yuri Bizzoni, Niko Partanen, Jack Rueter
- Venues:
- NLP4DH | IWCLUL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 195–212
- Language:
- URL:
- https://aclanthology.org/2023.nlp4dh-1.23
- DOI:
- Cite (ACL):
- Elissa Nakajima Wickham. 2023. Girlbosses, The Red Pill, and the Anomie and Fatale of Gender Online: Analyzing Posts from r/SuicideWatch on Reddit. In Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages, pages 195–212, Tokyo, Japan. Association for Computational Linguistics.
- Cite (Informal):
- Girlbosses, The Red Pill, and the Anomie and Fatale of Gender Online: Analyzing Posts from r/SuicideWatch on Reddit (Nakajima Wickham, NLP4DH-IWCLUL 2023)
- PDF:
- https://preview.aclanthology.org/corrections-2024-05/2023.nlp4dh-1.23.pdf