Racialized Hate Speech in YouTube Comments on The Little Mermaid (2023): A Critical Discourse Analysis
Keywords:
racialized hate speech, digital discourse, YouTube comments, critical discourse analysis, online hostilityAbstract
This study examined the manifestation and linguistic construction of racialized hate speech in YouTube comments responding to Disney’s 2023 live-action adaptation of The Little Mermaid. The casting of a Black actress as Ariel generated polarized reactions, making the trailer comment section a productive site for examining digital hostility as a discursive practice. Using qualitative content analysis informed by Mondal’s (2017) typology of hate speech and critical discourse analysis drawing on Van Dijk’s (2006) socio-cognitive approach, the study analyzed selected comments drawn from a larger corpus of approximately 78,000 comments containing discriminatory indicators. The findings reveal three primary manifestations of racialized hostility: race-based, behavior-based, and physical-based expressions. However, these categories frequently overlap and interact through recurring linguistic patterns rather than appearing as isolated forms. Hostility is often articulated through modal constructions, evaluative adjectives, negation, and semantic prosody that position racial representation as a deviation from an imagined cultural norm. Rather than relying on explicit slurs, many comments employ coded and indirect forms of antagonism that allow speakers to express exclusionary attitudes while maintaining plausible deniability. The study demonstrates how racialized hate speech operates as discursive resistance to perceived transformation of cultural norms in participatory media environments. By foregrounding the linguistic mechanisms underlying online hostility, this research contributes to applied linguistics and digital discourse studies by revealing how YouTube's algorithmically mediated environment amplifies subtle racialized hostility, while offering a framework for anti-racism education, digital literacy initiatives, and platform content moderation.
References
Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021). The echo chamber effect on social media. Proceedings of the National Academy of Sciences, 118(9). https://doi.org/10.1073/pnas.2023301118
Culpeper, J. (2021). Impoliteness and hate speech: Compare and contrast. Journal of Pragmatics, 179, 4–11. https://doi.org/10.1016/j.pragma.2021.04.019
Ekman, M. (2022). The great replacement: Strategic mainstreaming of far-right conspiracy claims. Convergence: The International Journal of Research into New Media Technologies, 28(4), 1127–1143. https://doi.org/10.1177/13548565221091983
Filibeli, T. E., & Ertuna, C. (2021). Sarcasm Beyond Hate Speech: Facebook Comments on Syrian Refugees in Turkey. International Journal of Communication, 15, 2236–2259.
Jaszczyk-Grzyb, M., Szczepaniak-Kozak, A., & Adamczak-Krysztofowicz, S. (2023). A corpus-assisted critical discourse analysis of hate speech in German and Polish social media posts. Moderna Språk, 117(1), 44–71. https://doi.org/10.58221/mosp.v117i1.11518
Ladegaard, H. J. (2022). Language, discrimination and employability: Employers’ othering and racist representations of domestic migrant workers on social media. Journal of Language and Social Psychology, 41(1), 97–118. https://doi.org/10.1177/0261927X211046644
Matamoros-Fernández, A., & Farkas, J. (2021). Racism, Hate Speech, and Social Media: A Systematic Review and Critique. Television & New Media, 22(2), 205–224. https://doi.org/10.1177/1527476420982230
Mondal, M., Silva, L. A., & Benevenuto, F. (2017). A Measurement Study of Hate Speech in Social Media. Proceedings of the 28th ACM Conference on Hypertext and Social Media, 85–94. https://doi.org/10.1145/3078714.3078723
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and policy in mental health, 42(5), 533–544. https://doi.org/10.1007/s10488-013-0528-y
Parvaresh, V. (2023). Covertly communicated hate speech: A corpus-assisted pragmatic study. Journal of Pragmatics, 205, 63–77. https://doi.org/10.1016/j.pragma.2022.12.009
Retta, M. (2023). A pragmatic and discourse analysis of hate words on social media. Internet Pragmatics, 6(2), 197–218. https://doi.org/10.1075/ip.00096.ret
Sengul, K. (2022). ‘It’s OK to be white’: the discursive construction of victimhood, ‘anti-white racism’ and calculated ambivalence in Australia. Critical Discourse Studies, 19(6), 593–609. https://doi.org/10.1080/17405904.2021.1921818
Srivastava, P., & Hopwood, N. (2009). A practical iterative framework for qualitative data analysis. International Journal of Qualitative Methods, 8(1), 76-84.
Van Dijk, T. A. (2006). Ideology and discourse analysis. Journal of Political Ideologies, 11(2), 115–140. https://doi.org/10.1080/13569310600687908
Wachs, S., Gámez-Guadix, M., & Wright, M. F. (2022). Online Hate Speech Victimization and Depressive Symptoms Among Adolescents: The Protective Role of Resilience. Cyberpsychology, Behavior, and Social Networking, 25(7), 416–423. https://doi.org/10.1089/cyber.2022.0009
Wanniarachchi, V. U., Scogings, C., Susnjak, T., & Mathrani, A. (2023). Hate Speech Patterns in Social Media: A Methodological Framework and Fat Stigma Investigation Incorporating Sentiment Analysis, Topic Modelling and Discourse Analysis. Australasian Journal of Information Systems, 27. https://doi.org/10.3127/ajis.v27i0.3929
Zamri, N. A. K., Mohamad Nasir, N. A., Hassim, M. N., & Ramli, S. M. (2023). Digital hate speech and othering: The construction of hate speech from Malaysian perspectives. Cogent Arts & Humanities, 10(1). https://doi.org/10.1080/23311983.2023.2229089
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Deuis Sugaryamah, Erlan Aditya Ardiansyah, Idzni Absharina Alifa

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)
















