10.57647/jntell.2025.0403.16

Online Hate Speech in the Gaming Community: A Critical Discourse Analysis

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  • Haider Saad Yahya Jubran1,
  • Fatemeh Karimi*1,
  • Basim Jubair Kadhim Al-Jameel2,
  1. Department of English, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
  2. Open Educational College, Najaf Center, Ministry of Education, Najaf, Iraq

Received: 2025-03-13

Revised: 2025-04-24

Accepted: 2025-05-04

Published in Issue 2025-10-19

Copyright (c) 2025 Haider Saad Yahya Jubran, Fatemeh Karimi, Basim Jubair Kadhim Al-Jameel (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Saad Yahya Jubran, H. ., Karimi, F., & Jubair Kadhim Al-Jameel, B. . (2025). Online Hate Speech in the Gaming Community: A Critical Discourse Analysis. Journal of New Trends in English Language Learning (JNTELL), 4(3). https://doi.org/10.57647/jntell.2025.0403.16
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Abstract

This study investigated the linguistic strategies and discursive devices used in online hate speech within the gaming community. The present study aimed to deal with the following objectives: exploring how power dynamics and gender ideologies manifest in this discourse and examining the cognitive processes and mental representations that contribute to the production and reception of such communication. The research employed a qualitative design, utilizing multiple methods for critical discourse analysis, including Fairclough’s three-dimensional model, van Dijk’s socio-cognitive approach, and Ideological Square. The data set for the analysis consists of 200 online texts and data sources, such as forum posts, comments, messages, gaming streams, videos, podcasts, and social media interactions, primarily from platforms like Reddit, 4chan, and Twitch.  The analysis revealed a high prevalence of misogynistic language, including sexual objectification, insults, and threats, alongside significant amounts of racist, religious, homophobic, and ableist hate speech. Cognitive processes like stereotyping, prejudice, and emotional responses fuel the creation and reception of hateful messages. The findings underscore the urgent need for multifaceted interventions targeting individual perpetrators and systemic issues to create safer online spaces.

Keywords

  • Critical discourse analysis,
  • Gaming community,
  • Hate speech,
  • Misogynistic language,
  • Racist ideologies
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References

  1. 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.
  2. Brown, A. (2018). What is so special about online (as compared to offline) hate speech? Ethnicities, 18(3), 297–326. https://doi.org/10.1177/1468796817709846
  3. Burnap, P., & Williams, M. (2015). Cyber hate speech on Twitter: An application of machine classification and statistical modeling for policy and decision-making. Policy & Internet, 7(2), 223–242. https://doi.org/10.1002/poi3.85
  4. Cao, R., & Lee, R. (2020). HateGAN: Adversarial generative-based data augmentation for hate speech detection. In Proceedings of the 28th international conference on computational linguistics (pp. 6327–6338). https://doi.org/10.18653/v1/2020.coling-main.557
  5. Colder Carras, M., Van Rooij, A. J., Van de Mheen, D., Musci, R., Xue, Q. L., & Mendelson, T. (2017). Video gaming in a hyperconnected world: A cross-sectional study of heavy gaming, problematic gaming symptoms, and online socializing in adolescents. Computers in Human Behavior, 68, 472–479. https://doi.org/10.1016/j.chb.2016.11.060
  6. De Leo, A., & Russo, E. (2023). Define and tackle hate speech: The experience of social workers in Italy. Informing Science: The International Journal of an Emerging Transdiscipline, 26, 115–134. https://doi.org/10.28945/5120
  7. Deligianni, A., & Horne, Z. D. (2023). Analysing hate speech towards women on Reddit. https://doi.org/10.31234/osf.io/fsrq7
  8. Edwards, G. S., & Rushin, S. (2018). The effect of President Trump's election on hate crimes. SSRN. https://doi.org/10.2139/ssrn.3102652
  9. ElSherief, M., Nilizadeh, S., Nguyen, D., Vigna, G., & Belding, E. (2018). Peer to peer hate: Hate speech instigators and their targets. In Proceedings of the international AAAI conference on web and social media, 12(1). https://doi.org/10.1609/icwsm.v12i1.15038
  10. Fairclough, N. (1995). Critical discourse analysis. Longman.
  11. Fairclough, N. (2010). Critical discourse analysis: The critical study of language. Prentice Hall. https://doi.org/10.4324/9780203809068.ch1
  12. Fayruza, A., Mahliatussikah, H., & Hayani, M. (2021). Critical discourse analysis of Teun A. van Dijk's model against online news "The decline in refinery profits threatens to increase oil prices". Izdihar : Journal of Arabic Language Teaching, Linguistics, and Literature, 4(3), 275–290. https://doi.org/10.22219/jiz.v4i3.18274
  13. Fortuna, P., & Nunes, S. (2018). A survey on automatic detection of hate speech in text. ACM Computing Surveys, 51(1), 1–30. https://doi.org/10.1145/3232676
  14. Ghozali, I., Sungkono, K. R., Sarno, R., & Abdullah, R. (2023). Synonym based feature expansion for Indonesian hate speech detection. International Journal of Electrical and Computer Engineering, 13(1), 1105–1112. https://doi.org/10.11591/ijece.v13i1.pp1105-1112
  15. Handayani, A. R. T., Sumarlam, S., & Nugroho, M. (2023). A critical discourse analysis of United States presidential election news 2020 in Newyorktimes.com. International Journal of Multicultural and Multireligious Understanding, 10(5), 278. https://doi.org/10.18415/ijmmu.v10i5.4441
  16. Heng, S., Zhao, H., & Wang, M. (2021). In-game social interaction and gaming disorder: A perspective from online social capital. Frontiers in Psychiatry, 11, Article 468115. https://doi.org/10.3389/fpsyt.2020.468115
  17. Keya, A. J., Kabir, M. M., Shammey, N. J., Mridha, M. F., Islam, M. R., & Watanabe, Y. (2023). G-BERT: An efficient method for identifying hate speech in Bengali texts on social media. IEEE Access, 11, 3299021. https://doi.org/10.1109/ACCESS.2023.3299021
  18. Liando, N. V. F., Tatipang, D. P., Rorimpandey, R., & Karisi, Y. (2022). Easing the rules of health protocols: A critical discourse analysis of the Indonesian president’s speech on COVID-19 handling in 2022. Englisia: Journal of Language, Education, and Humanities, 10(1), 127. https://doi.org/10.22373/ej.v10i1.13755
  19. Liu, Z., Luo, C., & Lu, J. (2024). Hate speech in the Internet context: Unpacking the roles of Internet penetration, online legal regulation, and online opinion polarization from a transnational perspective. Information Development, 40(4), 533–549. https://doi.org/10.1177/02666669221148487
  20. Lupu, Y., Sear, R., Velásquez, N., Leahy, R., Restrepo, N. J., Goldberg, B., & Johnson, N. F. (2023). Offline events and online hate. PLoS One, 18(1), Article e0278511. https://doi.org/10.1371/journal.pone.0278511
  21. Marwick, A., & Lewis, R. (2017). Media manipulation and disinformation online. Data & Society Research Institute.
  22. Mathew, B., Dutt, R., Goyal, P., & Mukherjee, A. (2019). Spread of hate speech in online social media. Proceedings of the Twelfth International AAAI Conference on Web and Social Media, 173-182. https://doi.org/10.1145/3292522.3326034
  23. Mossie, Z., & Wang, J.-H. (2018). Social network hate speech detection for Amharic language. Computer Science & Information Technology (CS & IT), 8(6), 41–55. https://doi.org/10.5121/csit.2018.80604
  24. Nielsen, L. B. (2002). Subtle, pervasive, harmful: Racist and sexist remarks in public as hate speech. Journal of Social Issues, 58(2), 265-280. https://doi.org/10.1111/1540-4560.00260
  25. Özlü, Ö. (2024). Discourse of foreign digital media: Analysis of the 2023 Turkish presidential election coverage. Akademik İncelemeler Dergisi, 19(1), 119-136. https://doi.org/10.17550/akademikincelemeler.1403624
  26. Paz, M. A., Montero-Díaz, J., & Moreno-Delgado, A. (2020). Hate speech: A systematized review. Sage Open, 10(4), 2158244020973022. https://doi.org/10.1177/2158244020973022
  27. Phillips, W. (2015). This is why we can't have nice things: Mapping the relationship between online trolling and mainstream culture. MIT Press.
  28. Putra, I. E., Selvanathan, H. P., Mashuri, A., & Montiel, C. J. (2021). Aung San Suu Kyi’s defensive denial of the Rohingya massacre: A rhetorical analysis of denial and positive-image construction. Journal of Social and Political Psychology, 9(2), 353-369. https://doi.org/10.5964/jspp.7301
  29. Salminen, J., Luotolahti, J., Almerekhi, H., Jansen, J., & Jung, S.-G. (2018). Neural network hate deletion: Developing a machine learning model to eliminate hate from online comments. In A. Voiskounsky, O. Smirnova, & A. Ershov (Eds.), 5th International Conference on Information Science (INSCI 2018) (pp. 24-36). Springer. https://doi.org/10.1007/978-3-030-01437-7_3
  30. Sabbir, A., Al Mahmud, A., & Bilgin, A. (2022). Myanmar: Ethnic cleansing of Rohingya: From ethnic nationalism to ethno-religious nationalism. Conflict Studies Quarterly, 39, 81–99. https://doi.org/10.24193/csq.39.6
  31. Sazali, H., SM, U. A. R., & Marta, R. F. (2022). Mapping hate speech relationships Indonesia's religion and state in social media. Communicatus: Jurnal Ilmu komunikasi, 6(2), 189-208.
  32. Sękowska-Kozłowska, K., Baranowska, G., & Gliszczyńska-Grabias, A. (2022). Sexist hate speech and the international human rights law: Towards legal recognition of the phenomenon by the United Nations and the Council of Europe. International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique, 35, 1017-1039. https://doi.org/10.1007/s11196-022-09884-8
  33. Shruthi, P., & Kumar, A. K. M. (2020). Novel approach for generating hybrid features set to effectively identify hate speech. Inteligencia Artificial, 23(66), 97–111. https://doi.org/10.4114/intartif.vol23iss66pp97-111
  34. Stremlau, N., & Gagliardone, I. (2019). Socio-legal approaches to online hate speech. In Routledge handbook of socio-legal theory and methods (p. 14). Routledge. https://doi.org/10.4324/9780429952814
  35. Syawaludin, M. (2019). ANALISIS WACANA KRITIS DALAM KUMPULAN PIDATO PRESIDEN REPUBLIK INDONESIA KE-7 Ir. JOKO WIDODO. Jurnal Pembahsi (Pembelajaran Bahasa Dan Sastra Indonesia), 9(1), 47-57. https://doi.org/10.31851/pembahsi.v9i1.4244
  36. Tajfel, H., & Turner, J. C. (1979). An integrative theory of intergroup conflict. In W. G. Austin & S. Worchel (Eds.), The social psychology of intergroup relations (pp. 33-47). Brooks/Cole.
  37. Thuku, J. T., & Mbaaro, M. (2022). Hate speech legislation and freedom of expression: Finding the balance. Interdisciplinary Studies in Society, Law, and Politics, 1(2), 26-33. https://doi.org/10.61838/kman.isslp.1.2.5
  38. Van Dijk, T. A. (1988). News analysis: Case studies of international and national news in the press. Lawrence Erlbaum Associates.
  39. Van Dijk, T. (2008). Context and cognition. In Discourse and context: A sociocognitive approach (pp. 56-110). Cambridge University Press. https://doi.org/10.1017/CBO9780511481499.004
  40. Vergani, M., Perry, B., Freilich, J., Chermak, S., Scrivens, R., & Link, R. (2022). PROTOCOL: Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents. Campbell Systematic Reviews, 18(2), Article e1228.
  41. Vilar-Lluch, S. (2023). Understanding and appraising ‘hate speech’. Journal of Language Aggression and Conflict, 11(2), 279-306. https://doi.org/10.1075/jlac.00082.vil
  42. Wachs, S., & Wright, M. F. (2018). Associations between bystanders and perpetrators of online hate: The moderating role of toxic online disinhibition. International Journal of Environmental Research and Public Health, 15(9), Article 2030. https://doi.org/10.3390/ijerph15092030
  43. Williams, M. L., & Burnap, P. (2016). Cyberhate on social media in the aftermath of Woolwich: A case study in computational criminology and big data. The British Journal of Criminology, 56(2), 211–238. https://doi.org/10.1093/bjc/azv059
  44. Zakaria, M., Ali, A., & Abdul Aziz, A. (2022). Online gaming: Exploratory of the communication process and current scenario of virtual community development. International Journal of Academic Research in Business and Social Sciences, 12(11), 827–842. https://doi.org/10.6007/IJARBSS/v12-i11/14739
  45. Zahed, I. U. M. (2023). Myanmar’s military coup: the Rohingya caught “between the devil and the deep sea”. Studies in Ethnicity and Nationalism, 23(2), 213-231. https://doi.org/10.1111/sena.12394