Redes sociales y desigualdad: rich-clubs y sentimientos en Twitter durante el debate sobre las macro-granjas españolas
Open accessAbstract
A finales de diciembre de 2021 el ministro de Consumo en España realizó unas declaraciones al diario The Guardian que provocaron un debate encendido en las redes sociales sobre las macro granjas españolas. En este artículo se aborda el análisis de los mensajes de Twitter en torno a este fenómeno que derivó en debates cooptados por los líderes políticos, quienes centralizaban la opinión pública. La base de datos se compone de 339.901 mensajes descargados en la red durante dos semanas del mes de enero de 2022. Los mensajes se han analizado aplicando técnicas de «Social Network Analysis»: algoritmos machine learning y diccionarios de análisis de sentimiento para indagar sobre los niveles de negatividad que presentan los mensajes publicados. Los principales resultados apuntan a estrategias de comulación elitistas y poco inclusivas en algunos de los partidos y otras más igualitarias, con temáticas que se centran principalmente en la protección de “los ganaderos” frente a la cuestión de la emergencia climática.
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Cites
Bias in Cable News: Persuasion and Polarization
Martin, G. J., & Yurukoglu, A. (2017) · American Economic Review · doi:10.1257/aer.20160812 · Cited by 666 · see citing works
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- Authors
- Casas-Mas, B., Gómez González, D., & Simón de Blas, C.
- Affiliations
- Universidad Complutense de Madrid (ES)
- Venue
- Redes. Revista hispana para el análisis de redes sociales
- Publisher
- Universitat Autonoma de Barcelona
- Published
- 2026-01-06
- Volume
- 37
- Issue
- 2
- Pages
- 26-51
- ISSN
- 1579-0185 (ISSN-L)
- 2385-4626
- OpenAlex
- W7118411179
- Cited by
- 0
- References
- 1
- FWCI
- 0.00
- Type
- journal article
- Language
- es
- Open access
- diamond
- doi.org
- Locations
- Redes Revista hispana para el análisis de redes sociales (publishedVersion, cc-by)
- Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministerio de Ciencia, Innovación y Universidades (PID2024‐159550NB‐I00)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Social Sciences › Political Science and International Relations › Populism, Right-Wing Movements
- Keywords
- rich club, social inequality, Twitter, public opinion, political leaders, elite co-optation, sentiment analysis, negative sentiment, social media discourse, climate crisis, livestock farmers, political parties
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