Emotional openness as an affective norm in representations of Gen Z masculinity on TikTok
DOI:
https://doi.org/10.12928/commicast.v7i1.15695Keywords:
Affective norm, Emotional openness, Generation Z, Masculinity, TikTokAbstract
This study examines the representation and normalization of emotional openness as an affective norm in Gen Z masculinity on TikTok, focusing on the fineshyt content trend. Using a qualitative discourse analysis approach, the study analyzes 15 TikTok videos featuring emotional expression by male Gen Z creators and 436 audience comments purposively selected based on affective relevance. Data were collected between August - October 2025 and examined to identify patterns of emotional expression and audience interaction. The findings show that emotional openness is not articulated solely as individual expression but is collectively legitimized through audience responses that function as affective validation. Three dominant patterns of audience response emerge: affirmative appreciation of emotionally open masculinity, resistance grounded in traditional masculine norms, and relational fantasies that frame emotional openness as affective appeal. These interactions indicate a contextual shift in the representation of masculinity within specific TikTok content, where emotional expression is positioned as socially acceptable rather than as a sign of weakness. While previous studies on digital masculinity have primarily focused on male self-representation, this study highlights the central role of audience interaction in shaping and normalizing emotional expression. This study extends existing masculinity and digital communication scholarship by conceptualizing emotional openness not merely as individual expression, but as an affective norm co-produced through audience interaction. By positioning the comment section as a site of affective negotiation, this research contributes to a deeper understanding of how gender norms are constructed within participatory digital environments.
References
Abidin, C. (2018). Internet celebrity: Understanding fame online. books.google.com.
Ahmed, S. (2013). The cultural politics of emotion. api.taylorfrancis.com. https://api.taylorfrancis.com/content/books/mono/download?identifierName=doi&identifierValue=10.4324/9780203700372&type=googlepdf
Ahmed, S. (2025). From the cultural politics of emotion. The Performance Studies Reader. https://doi.org/10.4324/9781003282969-33
Anderson, E. (2010). Inclusive masculinity: The changing nature of masculinities. api.taylorfrancis.com. https://doi.org/10.4324/9780203871485
Bridges, T., & Pascoe, C. J. (2014). Hybrid masculinities: New directions in the sociology of Men and masculinities. Sociology Compass, 8(3), 246–258. https://doi.org/10.1111/soc4.12134
Butler, J. (2022). Selection from gender trouble: Feminism and the subversion of identity. The Transgender Studies Reader Remix. https://doi.org/10.4324/9781003206255-21
Chornobylskyi, A., Kyrylova, O., Krupskyi, O., & Khotiun, L. (2025). Social sharing of emotions in social media system on the example of creepypasta on reddit. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5047281
Clarke, J. (2018). Stuart Hall and the theory and practice of articulation. Discourse: Studies in the Cultural Politics and Public Pedagogies of Stuart Hall. https://doi.org/10.1080/01596306.2015.1013247
Connell, R. W., & Messerschmidt, J. W. (2005). Hegemonic Masculinity. Gender & Society, 19(6), 829–859. https://doi.org/10.1177/0891243205278639
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design choosing among five approaches (4th Edition ed.). Sage Publishing.
Fadillah, D., Farihanto, M. N., Fajri, C., Putra, F. D., & Jandevi, U. (2020). Evolution of information technology communication: How WeChat become Indonesian students favorite using daily in China. Proceedings of the 2nd Jogjakarta Communication Conference (JCC 2020). https://doi.org/10.2991/assehr.k.200818.066
Fauzan, A., Rindiyani, D. A., & Tabrani, A. (2025). Maskulinitas rapuh di TikTok: Representasi emosi Lelaki dalam Budaya siber Gen Z. GHANCARAN: Jurnal Pendidikan Bahasa Dan Sastra Indonesia, 977–987. https://doi.org/10.19105/ghancaran.vi.21613
Fuadiy, M. R., Rozi, M. A. F., Arafah, N. N., Kamal, L., & Sunoko, A. (2025). Mapping the digital transformation of education in Indonesia from 2012 to early 2025. In Journal of Educational Research and Practice.
Gados, R. (2025). Exploring the adherence to masculine norms and emotional expression of Male college Students. Masculinities & Social Change, 1–26. https://doi.org/10.17583/mcs.18215
Hall, S., Evans, J., & Nixon, S. (2024). Representation: cultural representations and signifying practices. torrossa.com. https://www.torrossa.com/it/resources/an/5909098
Hassan, M. (2025). Masculinity in flux: Media representations and the shaping of gender norms across cultural contexts. International Journal of Research and Innovation in Social Science, IX(II), 2400–2404. https://doi.org/10.47772/IJRISS.2025.9020188
Hine, C. (2020). Ethnography for the internet: Embedded, embodied and everyday. api.taylorfrancis.com. https://doi.org/10.4324/9781003085348
Horton, E. K. J., Schermerhorn, N. E. C., & Hanel, P. H. P. (2026). The impact of toxic masculinity on restrictive emotionality and mental health seeking support. Personality and Individual Differences, 248, 113459. https://doi.org/10.1016/j.paid.2025.113459
Kholili, P. E., & Wijiharto Tunggali, A. P. P. (2023). Motives for using reels TikTok social media among Children. COMMICAST, 4(1), 118–125. https://doi.org/10.12928/commicast.v4i1.6291
KRESS, G., & LEEUWEN, T. V. A. N. (2010). Multimodal discourse: the modes and media of contemporary communication. 1 reimpr. In London: Bloomsbury Academic.
Kumalasari, E. D., Milan, S., Pratama, B. H., & Listyani, R. H. (2025). Representasi maskulinitas baru pada akun Instagram @lakilakibaru. Sosietas: Jurnal Pendidikan Sosiologi, 15(1), 16–32. https://doi.org/10.17509/sosietas.v15i1.83109
Loupessis, I., & Intahchomphoo, C. (2025). Framing the climate: How TikTok’s algorithm shapes environmental discourse. Telematics and Informatics, 102, 102329. https://doi.org/10.1016/j.tele.2025.102329
Maddalena, S. (2025). Digital 2025-we are social Indonesia. We are social Indonesia.
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook. 3rd. Thousand Oaks, CA: Sage.
Nabila, T. Y., & Ismail, I. (2025). TikTok’s impact on Generation Z’s mental health and social relationships. Journal of General Education and Humanities, 4(3), 1313–1326. https://doi.org/10.58421/gehu.v4i3.662
Nordin, T., Degerstedt, F., & Granholm Valmari, E. (2024). A scoping review of masculinity norms and their interplay with loneliness and social connectedness among Men in western societies. American Journal of Men’s Health, 18(6). https://doi.org/10.1177/15579883241304585
Ou, Y., de Bruijn, G.-J., & Schulz, P. J. (2025). Social media as an emotional barometer: Bidirectional encoder representations from transformers–long short-term memory sentiment analysis on the evolution of public sentiments during influenza a on Sina Weibo. Journal of Medical Internet Research, 27, e68205. https://doi.org/10.2196/68205
Papacharissi, Z. (2014). Affective publics. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199999736.001.0001
Rice, S., Oliffe, J., Seidler, Z., Borschmann, R., Pirkis, J., & Reavley, N. (2021). Gender norms and the mental health of boys and young men. In The Lancet Public: Public Health. thelancet.com. https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(21)00138-9/fulltext
Rochman, N. F., & Noertjahjo, D. S. S. (2025). Persepsi masyarakat terhadap representasi Pria androgini di Tiktok : Analisis wacana kritis pada konten Fendi Beau. RELASI: Jurnal Penelitian Komunikasi (e-ISSN: 2807-6818), 5(04), 245–255. https://doi.org/10.69957/relasi.v5i04.2265
Rohlinger, D. A., & Sobieraj, S. (Eds.). (2022). The Oxford handbook of digital media sociology. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780197510636.001.0001
Vishkin, A., & Tamir, M. (2023). Emotion norms are unique. Affective Science, 4(3), 453–457. https://doi.org/10.1007/s42761-023-00188-z
Wahyuni, H., & Fajarini, S. D. (2025). Ruang ekspresi diri di era digital (Analisis peran TikTok di kalangan Mahasiswa FISIP UMB). In Jurnal MADIA (Jurnal Humas dan Media Kontemporer).
Wetherell, M. (2012). Affect and emotion: A new social science understanding. SAGE Publications Ltd. https://doi.org/10.4135/9781446250945
Zhang, Y. (2025). Short-form video platforms and participatory culture: A literature review of TikTok’s impact on digital engagement. Communications in Humanities Research, 98(1), 110–115. https://doi.org/10.54254/2753-7064/2025.NS29699
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