Algorithmic Visibilities of Feminism on Social Platforms
This article describes the development and the main findings of an research project that addresses the visibility of the digital public expression of feminism on four social platforms: Twitter, Instagram, TikTok, and YouTube. Said visibility is regulated by the operation of the automated recommendat...
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Facultad de Humanidades y Artes. UNR
2023
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| Acceso en línea: | https://zonafranca.unr.edu.ar/index.php/ZonaFranca/article/view/362 |
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I15-R214-article-3622023-10-03T12:51:19Z Algorithmic Visibilities of Feminism on Social Platforms Visibilidades algorítmicas del feminismo en plataformas sociales Sued, Gabriela feminism digital platforms data algorithms feminismo plataformas digitales datos algoritmos This article describes the development and the main findings of an research project that addresses the visibility of the digital public expression of feminism on four social platforms: Twitter, Instagram, TikTok, and YouTube. Said visibility is regulated by the operation of the automated recommendation systems of the digital platforms, which decide what can be made visible and what is not based on automatized recommendations, or algorithms, functioning based on reaction metrics, such as "likes," comments, retweets and the views of a publication. To demonstrate it, three relevant hashtags, #abortolegal, #niunamenos and #justiciapara(name of the victim) were analyzed. Based on digital methods and data feminism initiatives, digital techniques for data collection, processing, and visualization were used. The learning phase of these methodologies in a data laboratory is also described. The findings show, on the one hand, three different logics that govern the visibility of digital expression on social platforms and, on the other, the power of algorithms is inherent in each situation and the elements that are part of it. Este artículo describe los principales hallazgos de un proyecto de investigación que aborda la visibilidad de la expresión pública digital del feminismo en cuatro plataformas sociales: Twitter, Instagram, TikTok y YouTube. Dicha visibilidad se encuentra regulada por el funcionamiento de los sistemas automatizados de recomendación de las plataformas, las que deciden cuáles son más vistas y cuáles no, en función de recomendaciones automatizadas o algoritmos, cuyos parámetros incluyen las métricas de reacciones, como los “me gusta”, comentarios, retuits y visualizaciones de una publicación. Para demostrarlo, se analizaron tres hashtags relevantes: #abortolegal, #niunamenos y #justiciapara(nombre de la víctima). Con base en las iniciativas de métodos digitales y del feminismo de datos, se emplearon técnicas digitales para la recolección y el procesamiento y la visualización de datos. Se describe además la fase de aprendizaje de estas metodologías en un laboratorio universitario. Los hallazgos muestran, por un lado, tres lógicas distintas que rigen la visibilidad de la expresión digital feminista en las plataformas sociales y por el otro, que el poder de los algoritmos es inherente a cada situación y los elementos que forman parte de ellas. Facultad de Humanidades y Artes. UNR 2023-10-03 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html https://zonafranca.unr.edu.ar/index.php/ZonaFranca/article/view/362 10.35305/zf.vi31.362 Zona Franca; No. 31 (2023); 70-101 Zona Franca; Núm. 31 (2023); 70-101 Zona Franca; Núm. 31 (2023); 70-101 2545-6504 0329-8019 spa https://zonafranca.unr.edu.ar/index.php/ZonaFranca/article/view/362/373 https://zonafranca.unr.edu.ar/index.php/ZonaFranca/article/view/362/374 Derechos de autor 2023 Gabriela Sued http://creativecommons.org/licenses/by-nc-nd/4.0 |
| institution |
Universidad Nacional de Rosario |
| institution_str |
I-15 |
| repository_str |
R-214 |
| container_title_str |
Zona Franca |
| language |
Español |
| format |
Artículo revista |
| topic |
feminism digital platforms data algorithms feminismo plataformas digitales datos algoritmos |
| spellingShingle |
feminism digital platforms data algorithms feminismo plataformas digitales datos algoritmos Sued, Gabriela Algorithmic Visibilities of Feminism on Social Platforms |
| topic_facet |
feminism digital platforms data algorithms feminismo plataformas digitales datos algoritmos |
| author |
Sued, Gabriela |
| author_facet |
Sued, Gabriela |
| author_sort |
Sued, Gabriela |
| title |
Algorithmic Visibilities of Feminism on Social Platforms |
| title_short |
Algorithmic Visibilities of Feminism on Social Platforms |
| title_full |
Algorithmic Visibilities of Feminism on Social Platforms |
| title_fullStr |
Algorithmic Visibilities of Feminism on Social Platforms |
| title_full_unstemmed |
Algorithmic Visibilities of Feminism on Social Platforms |
| title_sort |
algorithmic visibilities of feminism on social platforms |
| description |
This article describes the development and the main findings of an research project that addresses the visibility of the digital public expression of feminism on four social platforms: Twitter, Instagram, TikTok, and YouTube. Said visibility is regulated by the operation of the automated recommendation systems of the digital platforms, which decide what can be made visible and what is not based on automatized recommendations, or algorithms, functioning based on reaction metrics, such as "likes," comments, retweets and the views of a publication. To demonstrate it, three relevant hashtags, #abortolegal, #niunamenos and #justiciapara(name of the victim) were analyzed. Based on digital methods and data feminism initiatives, digital techniques for data collection, processing, and visualization were used. The learning phase of these methodologies in a data laboratory is also described. The findings show, on the one hand, three different logics that govern the visibility of digital expression on social platforms and, on the other, the power of algorithms is inherent in each situation and the elements that are part of it. |
| publisher |
Facultad de Humanidades y Artes. UNR |
| publishDate |
2023 |
| url |
https://zonafranca.unr.edu.ar/index.php/ZonaFranca/article/view/362 |
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