Dinámica de red y tipos dominantes de discurso de odio en las conversaciones de Twitter durante los partidos de fútbol profesional
DOI:
https://doi.org/10.47197/retos.v73.116541Palabras clave:
Comportamiento de los aficionados, club de fútbol, aficionados al fútbol, discurso de odio, TwitterResumen
Introducción: El Persib es uno de los clubes de fútbol más populares de Indonesia y cuenta con una sólida afición. Sin embargo, esto no le impide estar expuesto a opiniones negativas durante sus competiciones.
Objetivo: Este estudio busca describir las características estructurales de las redes e identificar los tipos dominantes de discurso de odio durante un partido del Persib en Twitter.
Metodología: Esta investigación empleó un enfoque bifásico de métodos mixtos: una netnografía digital con análisis de redes sociales y un análisis de contenido temático de 413.688 tuits durante el evento deportivo de la Liga 1.
Resultados: Los hallazgos de este estudio indican que el Persib es muy vulnerable al discurso de odio de la afición durante sus competiciones. Según el análisis, los discursos más frecuentes fueron insultantes, groseros, culpabilizadores, amenazantes, satíricos y críticos.
Discusión: Este discurso de odio se dirige a los jugadores, entrenadores y directivos del Persib. El discurso de odio dirigido a Persib se expresó predominantemente en idiomas locales o sundanés. Los temas de incitación al odio se relacionaron principalmente con el desarrollo del partido, el rendimiento de los jugadores, el sistema de entradas, la gestión y la retransmisión del partido, que se consideró deficiente.
Conclusiones: Estos hallazgos permiten evaluar la gestión de Persib y sentar las bases para desarrollar estrategias contra la incitación al odio en Twitter. Por lo tanto, Persib debe considerar la incitación al odio que sufrió como urgente y debe ser abordada de inmediato, ya que podría amenazar su imagen.
Referencias
Aguilar Gómez, A. (2024). Aproximación conceptual de las violencias en el fútbol (Conceptual ap-proach to violence in football). Retos, 56, 449-464. https://doi.org/10.47197/retos.v56.104015
Alsagheer, D., Mansourifar, H., Dehshibi, M. M., & Shi, W. (2022). Detecting Hate Speech Against Ath-letes in Social Media. 2022 International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2022, 75–81. https://doi.org/10.1109/IDSTA55301.2022.9923132
Anders, A., & Rotthoff, K. W. (2014). Is home-field advantage driven by the fans? Evidence from across the ocean. Applied Economics Letters, 21(16), 1165–1168. https://doi.org/10.1080/13504851.2014.914139
Archer, A., & Robb, C. (2024). Away from Home: The Ethics of Hostile Affective Scaffolding. Topoi, 1–12.
Ben Shalom, U., Dvir, A., Levy, M., Zwilling, M., Orkibi, E., Gabay, N., & Pele, O. (2019). From internet swear words to stadium violence in football (soccer) games – An Israeli case study. Interna-tional Review for the Sociology of Sport, 54(3), 348–360. https://doi.org/10.1177/1012690217715298
Ben-Shalom, U., Dvir, A., Gabay, N., Zwilling, M., Levy, M., & Orkibi, E. (2021). Can fans’ social media activity before the game predict players’ aggression during the game? Evidence from Israeli Basketball Premier League. Sport in Society, 24(2), 268–276.
Bruns, A. (2022). How to visually analyse networks using Gephi. SAGE Publications Ltd.
Burch, L. M., Hayday, E. J., Geurin, A. N., Smith, A. C. T., & Hushon, B. (2024). Discriminatory Virtual Maltreatment and Online Abuse in Digital Sporting Spaces: An Examination of the Experiences of Six Olympic Athletes. International Journal of Sport and Society, 15(3), 69–90. https://doi.org/10.18848/2152-7857/CGP/v15i03/69-90
Castaño-Pulgarín, S. A., Suárez-Betancur, N., Vega, L. M. T., & López, H. M. H. (2021). Internet, social media and online hate speech. Systematic review. Aggression and Violent Behavior, 58, 101608. https://doi.org/10.1016/j.avb.2021.101608
Cherven, K. (2015). Mastering Gephi network visualization. Packt Publishing Ltd.
Chovanec, J. (2023). ‘Bigger than football’: racist talk on and off the soccer pitch. Soccer and Society, 24(7), 942–957. https://doi.org/10.1080/14660970.2023.2250660
Crozier, G., Denzin, N., & Lincoln, Y. (1994). Handbook of Qualitative Research. British Journal of Edu-cational Studies. https://doi.org/10.2307/3121684
Daeli, R., Pare, S., & Sudarwani, M. M. (2021). Design study with modern architectural approach to football academy building in Jakarta. IOP Conference Series: Earth and Environmental Science, 878(1). https://doi.org/10.1088/1755-1315/878/1/012022
Di Fátima, B., Gouveia, C., & Lapa, T. (2020). Porto vs Benfica. Uma cartografia entre o amor e o ódio no Twitter. Porto vs Benfica. Uma Cartografia Entre o Amor e o Ódio No Twitter, 30, 147–175.
Doehler, S. (2024). ‘Your Analysis Is as Useless as Your Ovaries’: Women Football Fans’ Experiences on Social Media. Communication and Sport. https://doi.org/10.1177/21674795241292718
Etta, G., Cinelli, M., Di Marco, N., Avalle, M., Panconesi, A., & Quattrociocchi, W. (2024). A topology-based approach for predicting toxic outcomes on twitter and youtube. IEEE Transactions on Network Science and Engineering, 11(5), 4875–4885.
Ferdinand, N., Williams, N. L., & Bustard, J. (2025). Events and Social Media The #Euro2020 online firestorm. In Events and Society: Bridging Theory and Practice (pp. 168–174). https://doi.org/10.4324/9781003488729-26
Fleiss, J. L., Levin, B., & Paik, M. C. (1981). The measurement of interrater agreement. Statistical Meth-ods for Rates and Proportions, 2(212–236), 22–23.
Fuller, A. (2017). Soccer and the city: the game and its fans in Solo and Yogyakarta. Sport in Society, 20(5–6), 675–688. https://doi.org/10.1080/17430437.2016.1158470
Glathe, J., & Varga, M. (2018). Far-right fan culture in Russia: The politicisation of football hooligans on Russian social media. Journal Fur Entwicklungspolitik, 34(2), 20–49.
Grandjean, M. (2015). Gephi: Introduction to network analysis and visualisation.
Hangartner, D., Gennaro, G., Alasiri, S., Bahrich, N., Bornhoft, A., Boucher, J., Demirci, B. B., Derksen, L., Hall, A., Jochum, M., Munoz, M. M., Richter, M., Vogel, F., Wittwer, S., Wüthrich, F., Gilardi, F., & Donnay, K. (2021). Empathy-based counterspeech can reduce racist hate speech in a social media field experiment. Proceedings of the National Academy of Sciences of the United States of America, 118(50). https://doi.org/10.1073/pnas.2116310118
Hayday, E. J., Burch, L. M., & Geurin, A. N. (2024). Online Abuse in Sport. In Communication in Sport Management (pp. 163–177). https://doi.org/10.4324/9781003520405-19
Hayes, M. (2022). Social media and athlete mental health and well-being. In Sport, social media, and digital technology: Sociological approaches (pp. 223–240). Emerald Publishing Limited.
Hayes, M., Filo, K., Riot, C., & Geurin, A. (2023). Addressing athlete social media distractions during events: Examining effective and ineffective approaches. Event Management, 27(5), 763–780.
Huang, J., & Grizzard, M. (2022). Beyond Content: Exploring the Effects of Narrative Structure on En-tertainment Experience. Journal of Media Psychology, 34(6), 348–360. https://doi.org/10.1027/1864-1105/a000331
Jiang, K., & Bairner, A. (2024). Becoming a Chinese football fan: an examination of the influence of na-tional and local identities on the development of Chinese football fandom. Soccer and Society, 25(4–6), 487–504. https://doi.org/10.1080/14660970.2024.2332102
Kavanagh, E., Jones, I., & Sheppard-Marks, L. (2016). Towards typologies of virtual maltreatment: sport, digital cultures & dark leisure. Leisure Studies, 35(6), 783–796. https://doi.org/10.1080/02614367.2016.1216581
Kearns, C., Sinclair, G., Black, J., Doidge, M., Fletcher, T., Kilvington, D., Liston, K., Lynn, T., & Rosati, P. (2023). A Scoping Review of Research on Online Hate and Sport. Communication and Sport, 11(2), 402–430. https://doi.org/10.1177/21674795221132728
Khosla, S., Arora, S., Nandy, A., Saxena, A., & Anandhavelu, N. (2019). Understanding community rival-ry on social media: A case study of two footballing giants. CEUR Workshop Proceedings, 2327. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063190730&partnerID=40&md5=d6869a9bb8f7748042f32de5e2f69334
Kilvington, D. (2021). The virtual stages of hate: Using Goffman’s work to conceptualise the motiva-tions for online hate. Media, Culture and Society, 43(2). https://doi.org/10.1177/0163443720972318
Kilvington, D., & Price, J. (2021). The ‘beautiful game’in a world of hate: Sports journalism, football and social media abuse. In Insights on reporting sports in the digital age (pp. 104–119). Routledge.
Kim, H. S., Cho, K. M., & Kim, M. (2021). Information-sharing behaviors among sports fans using# hashtags. Communication & Sport, 9(4), 646–669.
Kozinets, R. V. (2015). Netnography. In The International Encyclopedia of Digital Communication and Society. https://doi.org/10.1002/9781118767771.wbiedcs067
Krzyżowski, F., & Strzelecki, A. (2023). Creating a fan bond with a football club on social media: a case of Polish fans. Soccer and Society, 24(5), 668–681. https://doi.org/10.1080/14660970.2022.2095619
Landis, J. R., & Koch, G. G. (1977). An application of hierarchical kappa-type statistics in the assess-ment of majority agreement among multiple observers. Biometrics, 363–374.
Liga Indonesia Baru. (2025). Liga Indonesia Baru. Https://Ligaindonesiabaru.Com.
Lungu, M. (2022). The coding manual for qualitative researchers. American Journal of Qualitative Re-search, 6(1), 232–237.
Manoli, A. E., Dixon, K., Hie, J., Middleton, A., & Hague, N. (2024). Virtual football violence: exploring the resurgence of football’s deviant leisure cultures in England. Leisure Studies, 1–16.
Marin, A., & Wellman, B. (2010). Handbook of Social Network Analysis: an introduction. In Handbook of Social Network Analysis.
Matamoros-Fernández, A. (2017). Platformed racism: The mediation and circulation of an Australian race-based controversy on Twitter, Facebook and YouTube. Information, Communication & Society, 20(6), 930–946.
Maulida, F. H. (2024). Gangsters, music, and aremania: Modernity and the dynamics of arek malang to defend their existence (1970-2000). In Collective Memory, Marginality, and Spatial Politics in Urban Indonesia (pp. 55–68). https://doi.org/10.1007/978-981-97-4304-9_4
Mills, B. M., Tainsky, S., Green, B. C., & Leopkey, B. (2018). The ultimatum game in the college football rivalry context. Journal of Sport Management, 32(1), 11–23.
Miranda, S., Gouveia, C., Di Fátima, B., & Antunes, A. C. (2024). Hate speech on social media: behaviour of Portuguese football fans on Facebook. Soccer and Society, 25(1), 76–91. https://doi.org/10.1080/14660970.2023.2230452
Monroy-Trujillo, A., Padilla-Castillo, G., & Cabezuelo-Lorenzo, F. (2021). Sports and hate speech mes-sages on Instagram: The case of Seville FC in the Spanish league. In Hate Speech and Polariza-tion in Participatory Society (pp. 237–250). https://doi.org/10.4324/9781003109891-19
Müller, L., Haut, J., & Heim, C. (2024). How German football clubs address antisemitism: organisational structures and communication. International Journal of Sport Policy and Politics. https://doi.org/10.1080/19406940.2024.2442917
Neuendorf, K. A. (2017). The content analysis guidebook. Sage.
Ong, W. H., & Leng, H. K. (2022). Social Media Marketing Strategies of Football Clubs: Limitations of Social Influence. International Journal of Technology and Human Interaction, 18(1). https://doi.org/10.4018/IJTHI.297618
Pappi, F. U., & Scott, J. (1993). Social Network Analysis: A Handbook. Contemporary Sociology. https://doi.org/10.2307/2075047
Parganas, P., Anagnostopoulos, C., & Chadwick, S. (2017). Effects of social media interactions on brand associations: A comparative study of soccer fan clubs. International Journal of Sports Market-ing and Sponsorship, 18(2), 149–165.
Pereira, J., Rodrigues, R. G., Duarte, P., & Gouveia, A. (2022). Social Media Marketing of Football Clubs: A Study with Portuguese Football Clubs—SL Benfica, FC Porto, and Sporting CP. Smart Innova-tion, Systems and Technologies, 280, 555–568. https://doi.org/10.1007/978-981-16-9272-7_45
Persib. (2025, May). Persib Instagram. Https://Www.Instagram.Com/Persib/.
Phipps, C. (2023). “You belong in the kitchen”: social media, virtual manhood acts, and women strength sport athletes’ experiences of gender-based violence online. Feminist Media Studies, 23(8), 4221–4237. https://doi.org/10.1080/14680777.2022.2158898
Pookpanich, P., & Siriborvornratanakul, T. (2024). Offensive language and hate speech detection using deep learning in football news live streaming chat on YouTube in Thailand. Social Network Analysis and Mining, 14(1), 18.
Popp, B., Horbel, C., & Germelmann, C. C. (2017). Nature and Consequences of Social Media-Based An-ti-brand Activism Against Sponsors and Investors of Sport Teams: An Abstract. In Develop-ments in Marketing Science: Proceedings of the Academy of Marketing Science (pp. 901–902). https://doi.org/10.1007/978-3-319-47331-4_182
Pradana, M., Elisa, H. P., & Putra, A. (2024). Indonesian Football: A Bibliometric Analysis and Perspec-tives. Open Sports Sciences Journal, 17. https://doi.org/10.2174/011875399X279156240102115151
Răzvan, B. M. C., Sorin, P. S., & Cătălin, P. M. (2019). Sport clubs interaction with the fans using social media communications. Case study at SCM Craiova. Educatio Artis Gymnasticae, 31.
Romero-Jara, E., Solanellas, F., López-Carril, S., Kolyperas, D., & Anagnostopoulos, C. (2024). The more we post, the better? A comparative analysis of fan engagement on social media profiles of football leagues. International Journal of Sports Marketing and Sponsorship, 25(3), 578–599. https://doi.org/10.1108/IJSMS-12-2023-0252
Ruser, J. B. (2023). Exploring Social Media Use in Sport: Psychological, Emotional, and Social Consider-ations for Athlete Well-Being and Performance. Indiana University.
Saldaña, J. (2021). Coding techniques for quantitative and mixed data. The Routledge Reviewer’s Guide to Mixed Methods Analysis, 151–160.
Sánchez-Sánchez, A. M., Ruiz-Muñoz, D., & Sánchez-Sánchez, F. J. (2024). Mapping homophobia and transphobia on social media. Sexuality Research and Social Policy, 21(1), 210–226.
Sanderson, J. (2016). Elite quarterbacks do not laugh when they are losing: Exploring fan responses to athletes’ emotional displays. International Journal of Sport and Exercise Psychology, 14(3), 281–294.
Sanderson, J., Stokowski, S., Zimmerman, M., & Fridley, A. (2020). “You had one job!” A case study of maladaptive parasocial interaction and athlete maltreatment in virtual spaces. International Journal of Sport Communication, 13(2), 221–238. https://doi.org/10.1123/ijsc.2019-0129
Santos, G. L., dos Santos, V. G., Kearns, C., Sinclair, G., Black, J., Doidge, M., Fletcher, T., Kilvington, D., Endo, P. T., & Liston, K. (2024). Kicking prejudice: large language models for racism classifica-tion in soccer discourse on social media. International Conference on Advanced Information Systems Engineering, 547–562.
Santos, G. L., dos Santos, V. G., Kearns, C., Sinclair, G., Black, J., Doidge, M., Fletcher, T., Kilvington, D., Liston, K., Endo, P. T., & Lynn, T. (2025). Detecting Homophobic Speech in Soccer Tweets Us-ing Large Language Models and Explainable AI. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15211 LNCS, 489–504. https://doi.org/10.1007/978-3-031-78541-2_30
Scott, J., Carrington, P., Marin, A., & Wellman, B. (2015). Social Network Analysis: An Introduction. In The SAGE Handbook of Social Network Analysis. https://doi.org/10.4135/9781446294413.n2
Seijbel, J., van Sterkenburg, J., & Oonk, G. (2022). Expressing rivalry online: antisemitic rhetoric among Dutch football supporters on Twitter. Soccer and Society, 23(8), 834–848. https://doi.org/10.1080/14660970.2022.2109800
Seijbel, J., van Sterkenburg, J., & Spaaij, R. (2023). Online Football-Related Antisemitism in the Context of the COVID-19 Pandemic: A Multi-Method Analysis of the Dutch Twittersphere. American Behavioral Scientist, 67(11), 1304–1321. https://doi.org/10.1177/00027642221118286
Siahaan, M. (2023, June 16). Indonesia: frequency of watching sports events 2023. Statista. https://www-statista-com.unpad.idm.oclc.org/statistics/1383515/indonesia-frequency-of-watching-sports-events/
Simsek, E., & Ozturk, M. B. (2024). Cyberbullying and fanatic behaviours of football fans in Turkey: The role of dark personality traits, team loyalty and demographics. Journal of Community and Applied Social Psychology, 34(4). https://doi.org/10.1002/casp.2857
Sokoy, F., Qomarrullah, R., Lestari, W. S., & Muhammad, R. N. (2023). Kanjuruhan Indonesia Football Tragedy (Culture, Management, Governance, and Justice). International Journal of Human Movement and Sports Sciences, 11(4), 753–761. https://doi.org/10.13189/saj.2023.110408
Sóti, A., Ancarani, A., Stéger, J., & Vattay, G. (2020). Influence of Twitter activity on the stock price of soccer clubs. Social Network Analysis and Mining, 10(1). https://doi.org/10.1007/s13278-020-00691-2
Stamm, J., & Boatwright, B. (2021). We love you, we hate you: Fan twitter response to top college football recruits’ decisions. International Journal of Sport Communication, 14(4), 530–553.
Statista. (2024). Most common interests in Indonesia 2024. https://www-statista-com.unpad.idm.oclc.org/forecasts/1389049/most-common-interests-in-indonesia
Statista Research Department. (2016, February). Most popular soccer clubs in Indonesia 2016. Statista. https://www-statista-com.unpad.idm.oclc.org/statistics/860055/most-popular-soccer-clubs-in-indonesia/
Urhan, O. B., & Koç, B. (2021). Metamorphosis of the narrative: A study on the conversion of the fan story to Hooligan aggression. In Handbook of Research on Narrative Interactions (pp. 181–197). https://doi.org/10.4018/978-1-7998-4903-2.ch011
Van Der Meij, L., Klauke, F., Moore, H. L., Ludwig, Y., Almela, M., & Van Lange, P. A. M. (2015). Football fan aggression: The importance of low basal cortisol and a fair referee. PLoS ONE, 10(4). https://doi.org/10.1371/journal.pone.0120103
Waterhouse-Watson, D. (2019). “I would hate to see our good name tarnished”: Twitter users respond to sexual assault in football. Journal of Australian Studies, 43(1), 22–38.
We Are Social, & Meltwater. (2024). Digital 2024 Indonesia.
Weimar, D., Holthoff, L. C., & Biscaia, R. (2022). When sponsorship causes anger: understanding nega-tive fan reactions to postings on sports clubs’ online social media channels. European Sport Management Quarterly, 22(3), 335–357. https://doi.org/10.1080/16184742.2020.1786593
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