Gender Inversion Phenomenon in the Internet and Social Media
Abstract
From the past to 2023, an interesting phenomenon has emerged where some users on social media platforms set their gender to the opposite of their actual gender. The development of society, job pressures, gender conflicts, and other factors have contributed to the various reasons behind gender inversion. This paper aims to investigate the reasons behind this phenomenon and explore the reflection of this social issue of gender inversion in social media software, as well as its manifestations in work demands and gender discrimination. This paper conducts a questionnaire survey to investigate the characteristics of individuals who have engaged in gender reversal behavior. The survey included questions about their age, education level, and frequency of internet use, among other factors. In addition, the survey also examined the reasons behind the gender reversal behavior in this group. The results showed that privacy protection, unfair treatment, and work requirements were three significant reasons. Furthermore, this study will provide strategies for internet platforms to improve user privacy issues.
References
- Samory, M., Sen, I., Kohne, J., Flöck, F., & Wagner, C. (2021). “Call me sexist, but.” : Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 573-584. https://doi.org/10.1609/icwsm.v15i1.18085
- Wang, A., Pappu, A., & Cramer, H. (2021). Representation of Music Creators on Wikipedia, Differences in Gender and Genre. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 764-775. https://doi.org/10.1609/icwsm.v15i1.18101
- Oden Choi, J., Herbsleb, J., Hammer, J., & Forlizzi, J. (2020). Identity-Based Roles in Rhizomatic Social Justice Movements on Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 488-498. https://doi.org/10.1609/icwsm.v14i1.7317
- Fabbri, F., Croci, M. L., Bonchi, F., & Castillo, C. (2022). Exposure Inequality in People Recommender Systems: The Long-Term Effects. Proceedings of the International AAAI Conference on Web and Social Media, 16(1), 194-204. https://doi.org/10.1609/icwsm.v16i1.19284
- Johnson, I., Lemmerich, F., Sáez-Trumper, D., West, R., Strohmaier, M., & Zia, L. (2021). Global Gender Differences in Wikipedia Readership. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 254-265. https://doi.org/10.1609/icwsm.v15i1.18058
- Asplund, J., Eslami, M., Sundaram, H., Sandvig, C., & Karahalios, K. (2020). Auditing Race and Gender Discrimination in Online Housing Markets. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 24-35. https://doi.org/10.1609/icwsm.v14i1.7276
- Dogan, D., Altun, B., Zengin, M. S., Kutlu, M., & Elsayed, T. (2023). Catch Me If You Can: Deceiving Stance Detection and Geotagging Models to Protect Privacy of Individuals on Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 173-184. https://doi.org/10.1609/icwsm.v17i1.22136
- Sawhney, R., Neerkaje, A., Habernal, I., & Flek, L. (2023). How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications. Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 766-776. https://doi.org/10.1609/icwsm.v17i1.22186
- Kulshrestha, J., Oliveira, M., Karaçalık, O., Bonnay, D., & Wagner, C. (2021). Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 327-338. https://doi.org/10.1609/icwsm.v15i1.18064
- Zhang, J. S., Keegan, B., Lv, Q., & Tan, C. (2021). Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 888-899. https://doi.org/10.1609/icwsm.v15i1.18112