Discurso de odio y aceptación social hacia migrantes en EuropaAnálisis de tuits con geolocalización

  1. Carlos Arcila Calderón
  2. Patricia Sánchez Holgado
  3. Cristina Quintana-Moreno 1
  4. Javier J. Amores
  5. David Blanco-Herrero
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Journal:
Comunicar: Revista Científica de Comunicación y Educación
  1. Cáceres Zapatero, María Dolores (coord.)
  2. Makhortykh, Mykola (coord.)
  3. Segado-Boj, Francisco (coord.)

ISSN: 1134-3478

Year of publication: 2022

Issue Title: Discursos de odio en comunicación: Investigaciones y propuestas

Issue: 71

Pages: 21-35

Type: Article

DOI: 10.3916/C71-2022-02 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Comunicar: Revista Científica de Comunicación y Educación

Abstract

Hate speech against vulnerable groups is acknowledged as a serious problem for integration and respect for the social diversity existing within the territory of the European Union. The growth of this type of discourse has been supported by the expansion of social media, which have been proven to act as a mechanism for the propagation of crimes against targets such as migrants and refugees, one of the main affected groups. That is why we have conducted the first European study of the social acceptance of migrants and refugees by studying the presence of hate speech. The research is based on the perspective of the theories of intergroup contact and mediated intergroup contact. The methodology includes largescale longitudinal analysis (2015-2020) of online hate speech on Twitter (N=847,978) and its contrast with existing official indicators. The results suggest that personal intergroup contact is positively corretaled with the support of the local population towards migrants and refugees but mediated intergroup contact is not correlated with hate speech on Twitter. We found evidence that those regions where the support for foreigners was higher, there was a lower level of hate speech on Twitter. This is an advance in the study of hate speech by territories and can help in the formulation of action strategies.

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Bibliographic References

  • Abrams, D., & Hogg, M.A. (2017). Twenty years of group processes and intergroup relations research: A review of past progress and future prospects. Group Processes & Intergroup Relations, 20(5), 561-569. https://doi.org/10.1177/1368430217709536
  • Abrams, J.R., McGaughey, K.J., & Haghighat, H. (2018). Attitudes toward Muslims: a test of the parasocial contact hypothesis and contact theory. Journal of Intercultural Communication Research, 47(4), 276-292. https://doi.org/10.1080/17475759.2018.1443968
  • Allport, G.W. (1954). The nature of prejudice. Addison-Wesley.
  • Alto Comisionado de las Naciones Unidas para los Refugiados (Ed.) (1951). Convención sobre el Estatuto de los Refugiados. https://bit.ly/2Zz2Y70
  • Arcila-Calderón, C., Amores, J.J., & Stanek, M. (2021). Predicting integration of refugees: Using machine learning and synthetic populations to predict social acceptance of asylum seekers in European regions. In S. Korkmaz, & B. Bircan (Eds.), Data science for migration and mobility. Oxford University Press.
  • Arcila-Calderón, C., Amores, J.J., Sánchez-Holgado, P., & Blanco-Herrero, D. (2022, en preparación). Developing and evaluating an automatic detector of racist and xenophobic hate speech on Twitter in Spanish using shallow and deep learning [Unpublished].
  • Arcila-Calderón, C., Blanco-Herrero, D., & Valdez-Apolo, M.B. (2020). Rechazo y discurso de odio en Twitter: Análisis de contenido de los tuits sobre migrantes y refugiados en español. Revista Española de Investigaciones Sociológicas, 172, 21-40. https://doi.org/10.5477/cis/reis.172.21
  • Arcila-Calderón, C., Blanco-Herrero, D., Frías-Vázquez, M., & Seoane-Pérez, F. (2022). Refugees welcome? Online hate speech and sentiments in Twitter in Spain during the reception of the boat Aquarius. Sustainability, 13(5), 2728. https://doi.org/10.3390/su13052728
  • Bayer, J., & Bárd, P. (2020). Hate speech and hate crime in the EU and the evaluation ofonline content regulation approaches. Policy Department for Citizens’ Rights and Constitutional Affairs. https://doi.org/10.2861/28047
  • Bollen, J., Mao, H., & Pepe, A. (2011). Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena. Proceedings of the International AAAI Conference on Web and Social Media, 5(1), 450-453. https://bit.ly/3DO1hRR
  • Broad, G.M., Gonzalez, C., & Ball-Rokeach, S.J. (2014). Intergroup relations in South Los Angeles. Combining communication infrastructure and contact hypothesis approaches. International Journal of Intercultural Relations, 38(1), 47-59. https://doi.org/10.1016/j.ijintrel.2013.06.001
  • Cabo-Isasi, A., & García-Juanatey, A. (2017). Hate speech in social media: A state-of-the-art-review. https://bit.ly/33bfHi3
  • Esipova, N., Ray, J., & Pugliese, A. (2020). World grows less accepting of migrants. Gallup. https://bit.ly/3uDGL3r
  • Canelón, A.R., & Almansa, A. (2018). Migración: Retos y oportunidades desde la perspectiva de los Objetivos de Desarrollo Sostenible (ODS). Retos, 8(16), 109-120. https://doi.org/10.17163/ret.n16.2018.08
  • Cinelli, M., Morales, G.D.F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021). The echo chamber effect on social media. Proceedings of the National Academy of Sciences, 118(9), 1-8. https://doi.org/10.1073/PNAS.2023301118
  • Ekman, M. (2019). Anti-immigration and racist discourse in social media. European Journal of Communication, 34(6), 606-618. https://doi.org/10.1177/0267323119886151 Esipova, N., Ray, J., & Pugliese, A. (2020). World grows less accepting of migrants. Gallup. https://bit.ly/3uDGL3r
  • ESS-ERIC Consortium (Ed.) (2021). European Social Survey (ESS). https://bit.ly/3ilifiq
  • Eurobarómetro (Ed.) (2020). Public opinion in the European Union. https://doi.org/10.2775/460239
  • Eurobarómetro (Ed.) (s.f). Sondeos periódicos de opinión del Parlamento Europeo. https://bit.ly/3up3rnR
  • European Commission (Ed.) (2016). The Census Hub: Easy and flexible access to European census data. Publications office of the European Union. https://doi.org/10.2785/52653
  • Felt, M. (2016). Social media and the social sciences: How researchers employ Big Data analytics. Big Data & Society, 3(1). https://doi.org/10.1177/2053951716645828
  • Gallacher, J.D., Heerdink, M.W., & Hewstone, M. (2021). Online engagement between opposing political protest groups via social media is linked to physical violence of offline encounters. Social Media + Society, 7(1). https://doi.org/10.1177/2056305120984445
  • Inter-Parliamentary Union (Ed.) (2015). Migration, human rights and governance. The International Labour Organization/ The United Nations. https://bit.ly/3F0KDjz
  • Joinson, A. (1999). Social desirability, anonymity, and internet-based questionnaires. Behavior Research Methods, Instruments, & Computers, 31(3), 433-438. https://doi.org/10.3758/bf03200723
  • Larson, R.B. (2019). Controlling social desirability bias. International Journal of Market Research, 61(5), 534-547. https://doi.org/10.1177/1470785318805305
  • Müller, K., & Schwarz, C. (2020). Fanning the flames of hate: Social media and hate crime. Journal of the European Economic Association, 19(4), 2131-2167. https://doi.org/10.1093/jeea/jvaa045
  • Organización de las Naciones Unidas (Ed.) (2015). Agenda 2030 - Objetivo 10. Reducción de las desigualdades. ONU. https://bit.ly/3ulmcZi
  • Organización de las Naciones Unidas (Ed.) (2018). Global compact for safe, orderly and regular migration. ONU. https://bit.ly/3op7VtL
  • Organización de las Naciones Unidas (Ed.) (2019). International migration policies. Data booklet. Statistical Papers - United Nations. https://doi.org/10.18356/0a2bc93d-en
  • Pettigrew, T.F. (1998). Intergroup contact theory. Annual Review of Psychology, 49(1), 65-85. https://doi.org/10.1146/annurev.psych.49.1.65
  • Salvini, M. [@matteosalvinimi] (2020, October 26). Ecco Il bel regalo di Natale di chi ci odia. Autore di questo scempio schifoso un palestinese [Tweet]. Twitter. https://bit.ly/3IHDIxK
  • Sampieri, R.H., Collado, C.F., Lucio, P.B., Valencia, S.M., & Torres, C.P.M. (2014). Metodología de la investigación. McGraw-Hill Education. https://bit.ly/3ESaIRq
  • Sayce, D. (2020). The number of tweets per day in 2020. https://bit.ly/3CZbUB2
  • Siapera, E., Boudourides, M., Lenis, S., & Suiter, J. (2018). Refugees and network publics on Twitter: Networked framing, affect, and capture. Social Media + Society, 4(1), https://doi.org/10.1177/2056305118764437
  • Vox [@Vox_es] (2021, March 27). Mientras impiden la movilidad a los españoles, más de 700 inmigrantes ilegales han asaltado nuestras fronteras en los últimos días [Tweet]. Twitter. https://bit.ly/3GAmGQe
  • Vrysis, L., Vryzas, N., Kotsakis, R., Saridou, T., Matsiola, M., Veglis, A., Arcila-Calderón, C., & Dimoulas, C. (2021). A Web interface for analyzing hate speech. Future Internet, 13(3), 80. https://doi.org/10.3390/fi13030080
  • We are social/Hootsuite (Ed.) (2021). Digital 2021 October Global Statshot Report. Digital 2021 Global Digital Overview. https://bit.ly/32c89el
  • Zhang, J.S., Tan, C., & Lv, Q. (2019). Intergroup contact in the wild: Characterizing language differences between intergroup and single-group members in NBA-related discussion forums. In A. Lampinen, D. Gergle & D.A. Shamma (Eds.), Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1-35. https://doi.org/10.1145/3359295
Data source: Dialnet