La construcción de ‘feminidades’ digitales
Análisis de las cuentas Ballerina Farm y Roro en la manosfera de TikTok
Bibliographic Data
| ID | 21754310 |
|---|---|
| Authors | Graciela Padilla Castillo (0000-0003-1393-4817, Universidad Complutense de Madrid), Tania Brandariz Portela (0000-0002-0578-3986, Universidad Nebrija), Eglée Ortega Fernández (0000-0001-7103-2403, Universidad Complutense de Madrid), David Del Pino Díaz (0000-0003-1860-8658, Universidad Nebrija) |
| Year | 2026 |
| Issue | 30 |
| Pages | 83-106 |
| Publication date | 2026-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Clepsydra Revista de Estudios de Género y Teoría Feminista (JOURNAL) |
| Journal identifiers | ISSN: 1579-7902 • E-ISSN: 2530-8424 |
| Publisher | University of La Laguna (PUBLISHER • ES) |
| DOI | 10.25145/j.clepsydra.2026.30.04 |
| OpenAlex | W7140660374 |
| Language | ES |
The article takes an in-depth look at the phenomenon of the manosfera on TikTok through a mixed quantitative and qualitative analysis of two emblematic accounts: Ballerina Farm and RoRo.bueno. Through a combination of detailed social interaction metrics, growth rates, and semiotic-discursive analysis of published content, the dynamics by which these platforms model and propagate different archetypes of digital femininity –from traditional and conservative references to emerging and aspirational proposals– are explored. The work breaks down how communication and community loyalty strategies vary substantially between the two accounts, noting notable differences in impact, reach, viralization tactics, and the articulation of collective identities through affectivity and storytelling. The findings underscore that the representation of femininity in these contexts is complex and multifaceted, as well as deeply influenced by the platform’s algorithmic logic and competing discourses
Archetype · Femininity · Loyalty · Phenomenon · Qualitative analysis · Qualitative research · Communication and COVID-19 Impact · Gender, Feminism, and Media · Social Media and Politics
| Citation velocity | historical |
|---|---|
| Highly cited | No |