Keywords

Young people, gender studies, identity, feminism, social media, digital activism

Abstract

The potential of social media to create open, collaborative and participatory spaces allows young women to engage and empower themselves in political and social activism. In this context, the objective of this research is to analyze the polarization in the debate at the intersection between the defense of feminism and transsexuality, preferably among the young public, symbolized in the use of the term “TERF”. To do this, the existing communities on Twitter and TikTok on this subject have been analyzed with Social Network Analysis techniques, and the presence of young people in them. The results indicate that the debates between both networks are not very cohesive, with a highly modularized structure that suggests isolation of each community in itself. For this reason, it can be considered that the debate on sexual identity has resulted in a strong polarization of feminist activism in social media. Likewise, the positions of transinclusive feminism are very majority among young people, which reinforces the idea of an ideological debate that can also be understood in a generational perspective. Finally, a differential use between both social networks has been identified, where TikTok is a less partisan and more dialogical network than Twitter, which leads to discussions and participation in a more neutral tone.

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References

Baer, H. (2016). Redoing feminism: Digital activism, body politics, and neoliberalism. Feminist Media Studies, 16(1), 17-34. https://doi.org/10.1080/14680777.2015.1093070

Link DOI | Link Google Scholar

Banks, A., Karol, D., Calvo, E.F., & Telhami, S. (2018). #Polarized feeds - Two experiments on polarization and social media. SSRN. https://doi.org/10.2139/ssrn.3122880

Link DOI | Link Google Scholar

Batsleer, J., & McMahon, G. (2016). Young feminists online: Political and social participation, social action and feminist activism. In Youth social action: What do we know about young people’s participation? Birmingham, UK. https://bit.ly/3YpPRyU

Link Google Scholar

Blondel, V.D., Guillaume, J.L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 10, P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008

Link DOI | Link Google Scholar

Carrera-Fernández, M.V., & DePalma, R. (2020). Feminism will be trans-inclusive or it will not be: Why do two cis-hetero woman educators support transfeminism? The Sociological Review, 68(4), 745-762. https://doi.org/10.1177/0038026120934686

Link DOI | Link Google Scholar

Cho, J., Ahmed, S., Hilbert, M., Liu, B., & Luu, J. (2020). Do search algorithms endanger democracy? An experimental investigation of algorithm effects on political polarization. Journal of Broadcasting & Electronic Media, 64(2), 150-172. https://doi.org/10.1080/08838151.2020.1757365

Link DOI | Link Google Scholar

Consejo de Europa (Ed.) (2014). Young people’s responses to homophobic and transphobic hate speech. SOGI Unit. IGLYO. https://bit.ly/3URrecQ

Link Google Scholar

Demszky, D., Garg, N., Voigt, R., Zou, J., Gentzkow, M., Shapiro, J., & Jurafsky, D. (2019). Analyzing polarization in social media: Method and application to tweets on 21 mass shootings. In J. Burstein, C. Doran, T. Solorio (Eds),

Link Google Scholar

Earles, J. (2017). TERF Wars: Narrative productions of gender and essentialism in radical-feminist (cyber)spaces. ProQuest Dissertations & Theses Global; Sociology Collection. https://bit.ly/3dVthff

Link Google Scholar

Ferré-Pavia, C., & Zaldívar, G. (2022). El feminismo trans excluyente en Twitter: Un monólogo sesgado en #ContraElBorradoDeLasMujeres. Icono 14, 20(2). https://doi.org/10.7195/ri14.v20i2.1865

Link DOI | Link Google Scholar

Hagberg, A., Swart, P., & Chult, D.S. (2008). Exploring network structure, dynamics, and function using networkx. United States. https://bit.ly/3y6EBw2

Link Google Scholar

Injuve (Ed.) (2019). Guía breve orientaciones – Para combatir el discurso de odio en internet a través de la educación en derechos humanos. Instituto de la Juventud. https://bit.ly/3BZWVYU

Link Google Scholar

Injuve (Ed.) (2021). Informe juventud en España 2020. Instituto de la Juventud. https://bit.ly/3UMswEJ

Link Google Scholar

Jackson, S. (2018). Young feminists, feminism and digital media. Feminism & Psychology, 28(1), 32-49. https://doi.org/10.1177/0959353517716952

Link DOI | Link Google Scholar

Jinsook, K. (2017). #iamafeminist as the ‘mother tag’: Feminist identification and activism against misogyny on Twitter in South Korea. Feminist Media Studies, 17(5), 804-820. https://doi.org/10.1080/14680777.2017.1283343

Link DOI | Link Google Scholar

Leifeld, P. (2018). Polarization in the social sciences: Assortative mixing in social science collaboration networks is resilient to interventions. Physica A: Statistical Mechanics and its Applications, 507, 510-523, https://doi.org/10.1016/j.physa.2018.05.109

Link DOI | Link Google Scholar

Linabary, J.R., Corple, D.J., & Cooky, C. (2020). Feminist activism in digital space: Postfeminist contradictions in #WhyIStayed. New Media & Society, 22(10), 1827-1848. https://doi.org/10.1177/1461444819884635

Link DOI | Link Google Scholar

Lu, C.T. (2020). A computational approach to analyzing and detecting trans-exclusionary radical feminists (TERFs) on Twitter. Dartmouth College Undergraduate Theses, 165. https://bit.ly/3CkKqsg

Link Google Scholar

Malatino, H. (2021). The promise of repair: Trans rage and the limits of feminist coalition. Signs: Journal of Women in Culture and Society, 46(4), 827-851. https://doi.org/10.1086/713292

Link DOI | Link Google Scholar

Manikonda, L., Beigi, G., Kambhampati, S., & Liu, H. (2018). #metoo through the lens of social media. In R. Thomson, C. Dancy, A. Hyder, & H. Bisgin (Eds), Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2018. Lecture Notes in Computer Science, vol 10899. Springer. https://doi.org/10.1007/978-3-319-93372-6_13

Link DOI | Link Google Scholar

Maulding, S. (2019). Pussy hats and anti-trans sentiments: When second-wave and third-wave collide. OSR Journal of Student Research, 5, 210. https://bit.ly/3fAur0p

Link Google Scholar

McLean, C. (2021). The growth of the anti-transgender movement in the United Kingdom. The Silent Radicalization of the British Electorate. International Journal of Sociology, 5(6), 473-482. https://doi.org/10.1080/00207659.2021.1939946

Link DOI | Link Google Scholar

Ott, K. (2018). Social media and feminist values: Aligned or maligned? Frontiers, 39(1), 93-111. https://doi.org/10.5250/fronjwomestud.39.1.0093

Link DOI | Link Google Scholar

Pearce, R., Erikainen, S., & Vincent, B. (2020). TERF wars: An introduction. The Sociological Review, 68(4), 677-698. https://doi.org/10.1177/0038026120934713

Link DOI | Link Google Scholar

Peña-Fernández, S., Larrondo-Ureta, A., & Morales-i-Gras, J. (2022). Current affairs on TikTok. Virality and entertainment for digital natives. Profesional de la Información, 31(1). https://doi.org/10.3145/epi.2022.ene.06

Link DOI | Link Google Scholar

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1. (pp. 2970–3005). https://doi.org/10.18653/v1/N19-1304

Link DOI | Link Google Scholar

Salido-Machado, E. (2017). Ciberfeminismo: Disidencias corporales y género itinerante. Revell, 3(17), 47-75. https://bit.ly/3BBzCFf

Link Google Scholar

Salloum, A. (2021). Quantifying polarization in social networks. Thesis submitted for examination for the degree of Master of Science in Technology. Aalto University. https://bit.ly/3UYwGtl

Link Google Scholar

Schuster, J. (2013) Invisible feminists? Social media and young women’s political participation. Political Science, 65(1), 8-24. https://doi.org/10.1177/0032318713486474

Link DOI | Link Google Scholar

Smyte, V. (2018, November 18). I'm credited with having coined the word 'Terf'. Here's how it happened. The Guardian. https://bit.ly/2IMKyqN

Link Google Scholar

Social Media Family (Ed.) (2022). VIII Informe sobre el uso de las redes sociales en España. The Social Media Family. https://bit.ly/2BR2FHL

Link Google Scholar

Storer, H.L., & Rodriguez, M. (2020). #Mapping a movement: Social media, feminist hashtags, and movement building in the digital age. Journal of Community Practice, 28(2), 160-176. https://doi.org/10.1080/10705422.2020.1757541

Link DOI | Link Google Scholar

Sulbarán, P. (2020). ¿Qué significa ser ‘TERF’ y por qué se considera un insulto contra feministas radicales? BBC News Mundo. https://bbc.in/3C0IOlW

Link Google Scholar

Taylor, C., Mantzaris, A., & Garibay, I. (2018). Exploring how homophily and accessibility can facilitate polarization in social networks. Information, 9(12), 325. https://doi.org/10.3390/info9120325

Link DOI | Link Google Scholar

Ticineto-Clough, P., & Halley, J. (2007). The affective turn: Theorizing the social. Duke University Press. https://doi.org/10.2307/j.ctv11316pw

Link DOI | Link Google Scholar

TikTok (Ed.) (2022). An update on our platform API for researchers. https://bit.ly/3Bozhpv

Link Google Scholar

Tortajada, I., Willem, C., Platero-Méndez, R.L., & Araüna, N. (2021). Lost in transition? Digital trans activism on YouTube. Information, Communication & Society, 24(8), 1091-1107. https://doi.org/10.1080/1369118X.2020.1797850

Link DOI | Link Google Scholar

Turley, E., & Fisher, J. (2018). Tweeting back while shouting back: Social media and feminism activism. Feminism & Psychology, 28(1), 128-132. https://doi.org/10.1177/0959353517715875

Link DOI | Link Google Scholar

Vázquez-González, J., & Cárdenes-Hernández, C. (2021). Discursos trans y transexcluyentes en Instagram. In M. Blanco-Pérez (Ed.), El progreso de la comunicación en la era de los prosumidores (pp. 648-664). Dykinson. https://bit.ly/3YlDAeS

Link Google Scholar

Vincent, B., Erikainen, S., & Pearce, R. (2020). TERF Wars: Feminism and the fight for transgender futures. Community Development Journal, 57(3), 573–577. https://doi.org/10.1093/cdj/bsab016

Link DOI | Link Google Scholar

Willem, C., & Tortajada, I. (2021). Gender, voice and online space: Expressions of feminism on social media in Spain. Media and Communication, 9(2), 62-71. https://doi.org/10.17645/mac.v9i2.3851

Link DOI | Link Google Scholar

Williams, C. (2020). The ontological woman: A history of deauthentication, dehumanization, and violence. The Sociological Review, 68(4), 718-734. https://doi.org/10.1177/0038026120938292

Link DOI | Link Google Scholar

Woolley, S.C., & Howard, P. (2018). Computational propaganda: Political parties, politicians, and political manipulation on social media. Oxford Studies in Digital Politics. https://doi.org/10.1093/oso/9780190931407.001.0001

Link DOI | Link Google Scholar

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Technical information

Received: 30-09-2022

Revised: 23-10-2022

Accepted: 29-11-2022

OnlineFirst: 30-01-2023

Publication date: 01-04-2023

Article revision time: 23 days | Average time revision issue 75: 32 days

Article acceptance time: 60 days | Average time of acceptance issue 75: 93 days

Preprint editing time: 138 days | Average editing time preprint issue 75: 171 days

Article editing time: 183 days | Average editing time issue 75: 216 days

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Cites in Scopus

Cabezas-González, M., Casillas-Martín, S., García-Valcárcel Muñoz-Repiso, A.. Theoretical Models Explaining the Level of Digital Competence in Students), Computers, .

https://doi.org/10.3390/computers12050100

Thakur, N.. Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox), Big Data and Cognitive Computing, .

https://doi.org/10.3390/bdcc7020116

Cites in Google Scholar

Theoretical Models Explaining the Level of Digital Competence in Students M Cabezas-González, S Casillas-Martín… - Computers, 2023 - mdpi.com

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https://www.mdpi.com/2504-2289/7/2/116

Investigating Self-Reporting of Long COVID on Twitter: Findings from Sentiment Analysis N Thakur - 2023 - preprints.org

https://www.preprints.org/manuscript/202309.0694/v1

Analyzing Public Reactions during the MPox Outbreak: Findings from Topic Modeling of Tweets N Thakur, YN Duggal, Z Liu - 2023 - preprints.org

https://www.preprints.org/manuscript/202309.0047/v1

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Peña-Fernández, S., Larrondo-Ureta, A., & Morales-i-Gras, J. (2023). Feminism, gender identity and polarization in TikTok and Twitter. [Feminismo, identidad de género y polarización en TikTok y Twitter]. Comunicar, 75, 49-60. https://doi.org/10.3916/C75-2023-04

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