Redes de odio y contranarrativas en Twitter sobre el ataque a iglesias católicas en Algeciras: Dinámicas de conectividad, influencia y polarización

Carolina Rebollo Diaz

doi:10.5565/rev/redes.1130

Redes de odio y contranarrativas en Twitter sobre el ataque a iglesias católicas en Algeciras: Dinámicas de conectividad, influencia y polarización

Autores/as

Carolina Rebollo Diaz Universidad de Granada https://orcid.org/0000-0003-1511-656X

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Resumen

Las redes sociales se han convertido en plataformas idóneas para la propagación del discurso de odio. Sin embargo, también ofrecen oportunidades para la difusión de contranarrativas que buscan desafiar y contrarrestar estas expresiones de odio. Este estudio analiza las dinámicas del discurso de odio y las contranarrativas en Twitter (ahora X) tras el ataque a iglesias católicas en Algeciras, España, en 2023, perpetrado por un migrante musulmán. Utilizando un conjunto de datos de más de 350,000 tuits, se construyen y examinan redes de retuits a través de Gephi para identificar diferencias estructurales y dinámicas entre comunidades que difunden odio y aquellas que comparten contranarrativas. En los resultados identificamos y caracterizamos cinco tipos de comunidades diferentes (una contranarrativa y cuatro de odio). Las de odio son más densas y cohesivas, con usuarios destacados que desempeñan un papel central en la amplificación del contenido. Sin embargo, también influirá la dureza del discurso y características de los miembros de la red. Las redes de contranarrativas, aunque menos cohesionadas, muestran potencial para alcanzar audiencias diversas. La polarización surge como un desafío clave, con una interacción mínima entre comunidades opuestas, lo que refuerza las cámaras de eco y limita la efectividad de las contranarrativas.

Palabras clave

Discurso de odio, Contranarrativas, Twitter, Comunidades

Citas

Accem. (2021, febrero 17). Save a Hater. Save a Hater. https://saveahater.accem.es/

Åkerlund, M. (2020). The importance of influential users in (re)producing Swedish far-right discourse on Twitter. European Journal of Communication, 35(6), 613-628. https://doi.org/10.1177/0267323120940909

Alorainy, W., Burnap, P., Liu, H., Williams, M., & Giommoni, L. (2022). Disrupting networks of hate: Characterising hateful networks and removing critical nodes. Social Network Analysis and Mining, 12(1), 27. https://doi.org/10.1007/s13278-021-00818-z

Arcila-Calderón, C., Blanco-Herrero, D., & Apolo, M. (2020). Topic Modeling and Characterization of Hate Speech against Immigrants on Twitter around the Emergence of a Far-Right Party in Spain. Social Sciences, 9(11). https://doi.org/10.3390/socsci9110188

Awan, I., & Zempi, I. (2016). The affinity between online and offline anti-Muslim hate crime: Dynamics and impacts. Aggression and Violent Behavior, 27, 1-8. https://doi.org/10.1016/j.avb.2016.02.001

Barrie, C., & Ho, J. C. (2021). academictwitteR: an R package to access the Twitter Academic Research Product Track v2 API endpoint. Journal of Open Source Software, 6(62), 3272. https://doi.org/10.21105/joss.03272

Baumgarten, N., Bick, E., Geyer, K., Aakær Iversen, D., Kleene, A., Lindø, A. V., Neitsch, J., Niebuhr, O., Nielsen, R., & Petersen, E. N. (2019). Towards Balance and Boundaries in Public Discourse: Expressing and Perceiving Online Hate Speech (XPEROHS). RASK – International Journal of Language and Communication, 50, 87-108.

Benesch, S., Ruths, D., Dillon, K. P., Saleem, H. M., & Wright, L. (2016). Counterspeech on Twitter: A field study. A report for public safety Canada under the Kanishka project, 1-39.

Bernardez-Rodal, A., Rey, P. R., & Franco, Y. G. (2020). Radical right parties and anti-feminist speech on Instagram: Vox and the 2019 Spanish general election. Party Politics, 1354068820968839. https://doi.org/10.1177/1354068820968839

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, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008

Borell, K. (2015). When Is the Time to Hate? A Research Review on the Impact of Dramatic Events on Islamophobia and Islamophobic Hate Crimes in Europe. Islam and Christian–Muslim Relations, 26(4), 409-421. https://doi.org/10.1080/09596410.2015.1067063

Brandes, U. (2001). A faster algorithm for betweenness centrality*. The Journal of Mathematical Sociology, 25(2), 163-177. https://doi.org/10.1080/0022250X.2001.9990249

Chen, Y. (2024). Cascading dynamics of hate speech propagation: Unveiling network structures and probability of retweeting on Twitter. Applied and Computational Engineering, 73, 100-110. https://doi.org/10.54254/2755-2721/73/20240371

Council of Europe. (2024). No Hate Speech Youth Campaign. No Hate Speech Youth Campaign. https://www.coe.int/en/web/no-hate-campaign

Dash, S., Grover, R., Shekhawat, G., Kaur, S., Mishra, D., & Pal, J. (2022). Insights Into Incitement: A Computational Perspective on Dangerous Speech on Twitter in India. Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 103-121. https://doi.org/10.1145/3530190.3534800

Du, S., & Gregory, S. (2017). The Echo Chamber Effect in Twitter: Does community polarization increase? En H. Cherifi, S. Gaito, W. Quattrociocchi, & A. Sala (Eds.), Complex Networks & Their Applications V (pp. 373-378). Springer International Publishing. https://doi.org/10.1007/978-3-319-50901-3_30

Duman, D. D., & Unur, E. (2020). HOW RELIGION MATTERS: ISLAMOPHOBIA, TERRORISM AND TWITTER. Politics and Religion Journal, 14(2), Article 2. https://doi.org/10.54561/prj1402383d

Evolvi, G. (2019). #Islamexit: Inter-group antagonism on Twitter. Information, Communication & Society, 22(3), 386-401. https://doi.org/10.1080/1369118X.2017.1388427

Gualda, E., & Rebollo, C. (2016). The refugee crisis on Twitter: A diversity of discourses at a European crossroads. Journal of Tourism, Sustainability and Well-being, 4(3), 199-212. http://hdl.handle.net/10272/13624

Goel, V., Sahnan, D., Dutta, S., Bandhakavi, A., & Chakraborty, T. (2023). Hatemongers ride on echo chambers to escalate hate speech diffusion. PNAS Nexus, 2(3), pgad041. https://doi.org/10.1093/pnasnexus/pgad041

Gupta, S., Nagar, S., Nanavati, A. A., Dey, K., Barbhuiya, F. A., & Mukherjea, S. (2021). Consumption of Hate Speech on Twitter: A Topical Approach to Capture Networks of Hateful Users. ROMCIR@ECIR. https://api.semanticscholar.org/CorpusID:235488653

He, B., Ziems, C., Soni, S., Ramakrishnan, N., Yang, D., & Kumar, S. (2022). Racism is a virus: Anti-asian hate and counterspeech in social media during the COVID-19 crisis. Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 90-94. https://doi.org/10.1145/3487351.3488324

Instituto de Estadística y Cartografía de Andalucía (2022). Algeciras. https://www.juntadeandalucia.es/institutodeestadisticaycartografia/sima/ficha.htm?mun=11004

Jacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014). ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software. PLOS ONE, 9(6), 1-12. https://doi.org/10.1371/journal.pone.0098679

Lingiardi, V., Carone, N., Semeraro, G., Musto, C., D’Amico, M., & Brena, S. (2020). Mapping Twitter hate speech towards social and sexual minorities: A lexicon-based approach to semantic content analysis. Behaviour & Information Technology, 39(7), 711-721. https://doi.org/10.1080/0144929X.2019.1607903

Maarouf, A., Pröllochs, N., & Feuerriegel, S. (2024). The Virality of Hate Speech on Social Media. Proc. ACM Hum.-Comput. Interact., 8(CSCW1), 186:1-186:22. https://doi.org/10.1145/3641025

Määttä, S. K., Suomalainen, K., & Tuomarla, U. (2021). Everyday discourse as a space of citizenship: The linguistic construction of in-groups and out-groups in online discussion boards. Citizenship studies, 1-18.

Mathew, B., Kumar, N., Goyal, P., & Mukherjee, A. (2020). Interaction dynamics between hate and counter users on Twitter. Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 116-124. https://doi.org/10.1145/3371158.3371172

Mathew, B., Saha, P., Tharad, H., Rajgaria, S., Singhania, P., Maity, S. K., Goyal, P., & Mukherje, A. (2019). Thou shalt not hate: Countering Online Hate Speech (arXiv:1808.04409). arXiv. https://doi.org/10.48550/arXiv.1808.04409

Müller, K., & Schwarz, C. (2020). Fanning the Flames of Hate: Social Media and Hate Crime (SSRN Scholarly Paper 3082972). Social Science Research Network. https://doi.org/10.2139/ssrn.3082972

Nasuto, A., & Rowe, F. (2024). Exposing Hate—Understanding Anti-Immigration Sentiment Spreading on Twitter (arXiv:2401.06658). arXiv. https://doi.org/10.48550/arXiv.2401.06658

Ortega Dolz, P., López-Fonseca, Ó., & Cañas, J. A. (2023, enero 25). Un hombre mata a un sacristán y deja al menos cuatro heridos en un ataque con arma blanca en dos iglesias de Algeciras | España | EL PAÍS. El País. https://elpais.com/espana/2023-01-25/un-hombre-mata-a-una-persona-y-deja-varios-heridos-en-un-ataque-en-una-iglesia-de-algeciras.html

Ozalp, S., Williams, M. L., Burnap, P., Liu, H., & Mostafa, M. (2020). Antisemitism on Twitter: Collective Efficacy and the Role of Community Organisations in Challenging Online Hate Speech. Social Media + Society, 6(2), 2056305120916850. https://doi.org/10.1177/2056305120916850

Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank Citation Ranking: Bringing Order to the Web. (Technical Report 1999-66). Stanford InfoLab. http://ilpubs.stanford.edu:8090/422/

Poole, E., Giraud, E. H., & de Quincey, E. (2021). Tactical interventions in online hate speech: The case of #stopIslam. New Media & Society, 23(6), 1415-1442. https://doi.org/10.1177/1461444820903319

Poole, E., Giraud, E., & Quincey, E. de. (2019). Contesting #StopIslam: The Dynamics of a Counter-narrative Against Right-wing Populism. Open Library of Humanities, 5(1). https://doi.org/10.16995/olh.406

Primario, S., Borrelli, D., Iandoli, L., Zollo, G., & Lipizzi, C. (2017). Measuring Polarization in Twitter Enabled in Online Political Conversation: The Case of 2016 US Presidential Election. 2017 IEEE International Conference on Information Reuse and Integration (IRI), 607-613. https://doi.org/10.1109/IRI.2017.73

Rebollo-Díaz, C., & Gualda, E. (2019). Teorías de la Conspiración y creencias sobre la invasión del Islam. En Sociedades y fronteras: Actas del IX Congreso Andaluz de Sociología, Huelva 23-24 de noviembre de 2018 (pp. 385-398). Universidad de Huelva. https://www.uhu.es/publicaciones/?q=libros&code=1208

Rebollo Díaz, C. y Martín García, J.M. (2022). Las redes sociales como escenario de islamofobia. Definición y características del discurso islamófobo online, en Mohamed e. M., Antonio Javier M. C., Rafael G. G., Rafael C. P.: El mundo árabe e islámico y occidente. Retos de construcción del conocimiento sobre el otro (pp. 1277-1299). Dykinson, S.L.

Rebollo-Díaz, C., Gualda, E., & Ruiz-Ángel, E. (2023). Exploring emotional responses on Twitter after the Algeciras attack on Catholic churches in 2023: Between anti-immigration discourse and sadness reactions, p. 149. Proceeding CARMA 2023 - 5th International Conference on Advanced Research Methods & Analytics, https://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/17009

Siapera, E. (2019). Organised and Ambient Digital Racism: Multidirectional Flows in the Irish Digital Sphere. Open Library of Humanities, 5(1). https://doi.org/10.16995/olh.405

Unión de Comunidades Islámicas de España (2024). Estudio demográfico de la población musulmana. http://observatorio.hispanomuslim.es/estademograf.pdf

United Nations. (2024a). Say #NoToHate—The impacts of hate speech and actions you can take. United Nations; United Nations. https://www.un.org/en/hate-speech

United Nations. (2024b). What is hate speech? United Nations; United Nations. https://www.un.org/en/hate-speech/understanding-hate-speech/what-is-hate-speech

Uyheng, J., & Carley, K. M. (2021). Characterizing network dynamics of online hate communities around the COVID-19 pandemic. Applied Network Science, 6(1), Article 1. https://doi.org/10.1007/s41109-021-00362-x

Wiedlitzka, S., Prati, G., Brown, R., Smith, J., & Walters, M. A. (2021). Hate in Word and Deed: The Temporal Association Between Online and Offline Islamophobia. Journal of Quantitative Criminology. https://doi.org/10.1007/s10940-021-09530-9

Williams, M. L., Burnap, P., Javed, A., Liu, H., & Ozalp, S. (2020). Hate in the Machine: Anti-Black and Anti-Muslim Social Media Posts as Predictors of Offline Racially and Religiously Aggravated Crime. The British Journal of Criminology, 60(1), 93-117. https://doi.org/10.1093/bjc/azz049

Redes de odio y contranarrativas en Twitter sobre el ataque a iglesias católicas en Algeciras: Dinámicas de conectividad, influencia y polarización

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