From TikTok to the Ballot Box: Parasocial Relationships and the Construction of Presidential Choice in the 2024 Election

Authors

  • Jawahirus Saniah Department of Communication Science, Universitas Gadjah Mada, 55281, Indonesia
  • Ahmad Affan Department of Communication Science, Universitas Gadjah Mada, 55281, Indonesia

DOI:

https://doi.org/10.12928/commicast.v7i2.15997

Keywords:

Parasocial relationship, Political parasocial relationship, Politainment, Presidential election, Tiktok

Abstract

The 2024 Indonesian Presidential Election shows various communication phenomena. With Generation Z and Millennials comprising the majority of voters, political communication has increasingly shifted toward personal, emotional appeals through social-media figures, making it urgent to understand whether such bonds translate into political choice. In the era of media convergence, audiences are both consumers and producers of content, and one rapidly growing phenomenon is politainment on TikTok. Figures such as Major Teddy (now Lieutenant Colonel), an aide to one of the presidential candidates, attract the public, especially young women, through content displaying his professionalism and visual appeal. This study uses a qualitative phenomenological approach involving six informants to reveal how idolizing Major Teddy forms a parasocial relationship shaping his fans’ political preferences. The results show that the parasocial relationship established with Major Teddy plays an important role in increasing political engagement and shaping the political views of his followers. This effect is most significant among first-time voters who tend to be more responsive to political communication based on public figures on social media. Thus, this study highlights the important role of parasocial phenomena in the dynamics of digital political communication in Indonesia. Theoretically, it contributes to Political Parasocial Relationship, whereas such relations are assumed to arise from celebrity appeal, this study shows they can instead grow from qualities resembling institutional trust, the orderliness, privacy guarding conduct, and professionalism of a military aide which informants ranked above their admiration for popular idols.

References

Ali, M., Soomro, F., & Razzaque Chhachhar, A. (2022). Usage of TikTok for Political Communication: A Systematic Literature Review. Global Mass Communication Review, IX(I), 115–123. https://doi.org/10.31703/gmcr.2024(IX-I).10

Alsharawy, A., Anstett, R., & Landgrave, M. (2026). What Is the Effect of Political Influencers on TikTok? Early Results From a Field Experiment With Young Adults. Political Studies Review, 24(1), 113–125. https://doi.org/10.1177/14789299251323741

Austin, E. W., Vord, R. Van de, Pinkleton, B. E., & Epstein, E. (2008). Celebrity Endorsements and Their Potential to Motivate Young Voters. Mass Communication and Society, 11(4), 420–436. https://doi.org/10.1080/15205430701866600

Bond, B. J. (2021). Social and parasocial relationships during COVID-19 social distancing. Journal of Social and Personal Relationships, 38(8), 2308–2329. https://doi.org/10.1177/02654075211019129

Cohen, J. (2009). Mediated relationships and media effects: Parasocial interaction and identification. na.

Cohen, J. & Holbert, R. L. (2021). Assessing the Predictive Value of Parasocial Relationship Intensity in a Political Context. Communication Research, 48(4), 501–526. https://doi.org/10.1177/0093650218759446

DataReportal, M., & Social, W. A. (2024). Digital 2024: Indonesia. In We Are Social.

Eatough, V., & Smith, J. A. (2017). Interpretative phenomenological analysis. The SAGE Handbook of Qualitative Research.

FINN, S. (1997). Origins of Media Exposure. Communication Research, 24(5), 507–529. https://doi.org/10.1177/009365097024005003

Gabriel, S., Paravati, E., Green, M. C., & Flomsbee, J. (2018). From Apprentice to President. Social Psychological and Personality Science, 9(3), 299–307. https://doi.org/10.1177/1948550617722835

Giles, D. (2003). The psychology of the media audience. In Media psychology. Lawrence Erlbaum Associates.

Gläser-Zikuda, M., Hagenauer, G., & Stephan, M. (2020). The potential of qualitative content analysis for empirical educational research. Forum Qualitative Sozialforschung, 21(1). https://doi.org/10.17169/fqs-21.1.3443

Goodwin, A., Joseff, K., Riedl, M. J., Lukito, J., & Woolley, S. (2023). Political relational influencers: The mobilization of social media influencers in the political arena. International Journal of Communication. https://ijoc.org/index.php/ijoc/article/view/18987

Hoewe, J., Zulli, D., Arceneaux, P., & Lusvardi, A. (2026). Political pets: The pawsitive effect of dogs in politicians’ social media posts. Journal of Information Technology & Politics, 23(3), 264–276. https://doi.org/10.1080/19331681.2025.2471389

Horton, D., & Wohl, R. (2006). Mass communication and Para-Social Interaction: Observations on Intimacy at a Distance. Particip@ tions, 3 (1)(Trabajo original publicado en 1956).

Horton, D., & Wohl, R. R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry. https://doi.org/10.1080/00332747.1956.11023049

Jalli, N., Unggraini, I. N., & Setianto, Y. P. (2025). How TikTok’s Visual Politics Shaped Indonesia’s 2024 Election. openresearch.okstate.edu.

KPU. (2024). DPT Pemilu 2024 dalam negeri dan luar negeri, 204,8 juta pemilih. Komisi Pemilihan Umum Republik Indonesia. Website KPU. https://www.kpu.go.id/berita/baca/11702/dpt-pemilu-2024-nasional-2048-juta-pemilih

Laurensia, A., & Ernungtyas, N. F. (2024). Trans-Parasocial Relationship on TikTok Live Shopping: A Netnography Study of Streamers and Audiences Interactions. Eduvest - Journal of Universal Studies, 4(9), 7840–7855. https://doi.org/10.59188/eduvest.v4i9.1745

McCracken, G. (1989). Who is the Celebrity Endorser? Cultural Foundations of the Endorsement Process. Journal of Consumer Research, 16(3), 310. https://doi.org/10.1086/209217

McGregor, S. C. (2018). Personalization, social media, and voting: Effects of candidate self-personalization on vote intention. New Media & Society, 20(3), 1139–1160. https://doi.org/10.1177/1461444816686103

Moy, P., Manosevitch, E., Stamm, K., & Dunsmore, K. (2005). Linking Dimensions of Internet Use and Civic Engagement. Journalism & Mass Communication Quarterly, 82(3), 571–586. https://doi.org/10.1177/107769900508200306

Nabi, R. L., & Oliver, M. B. (2009). The SAGE handbook of media processes and effects. (1st ed.). SAGE Publications, Inc.

Neuman, W. L. (2014). Social Research Methods: Quantitative and Qualitative Approaches. In Pflege aktuell (Vol. 57, Issue 2). https://doi.org/10.2307/3211488

Parmelee, J. H., Perkins, S. C., & Beasley, B. (2023). Personalization of politicians on Instagram: what Generation Z wants to see in political posts. Information, Communication & Society, 26(9), 1773–1788. https://doi.org/10.1080/1369118X.2022.2027500

Permana, L. K., & Alfian, I. N. (2023). Asal Terkenal, Bisa Terpilih: Peran Political Parasocial Relationship terhadap Voting Tendencies Pada Pemilih Pemula. Buletin Riset Psikologi Dan Kesehatan Mental (BRPKM), 3(1), 1–15. https://doi.org/10.20473/brpkm.v3i1.46970

Qurroh’Aini, F. S., Maella, N. F. S., & Zulaikha, Z. (2026). Emotional openness as an affective norm in representations of Gen Z masculinity on TikTok. COMMICAST. https://journal2.uad.ac.id/index.php/commicast/article/view/15695

Riedl, M., Schwemmer, C., Ziewiecki, S., & Ross, L. M. (2021). The rise of political influencers Perspectives on a trend towards meaningful content. In Frontiers in Communication. frontiersin.org. https://doi.org/10.3389/fcomm.2021.752656

Salisa, V. F., & Sujiwa, K. (2026). Selling a lifestyle: A representation study of Kylie Jenner’s cosmetic advertisements. COMMICAST. https://doi.org/10.12928/commicast.v7i1.15727

Schmuck, D., Hirsch, M., Stevic, A., & Matthes, J. (2022). Politics – Simply Explained? How Influencers Affect Youth’s Perceived Simplification of Politics, Political Cynicism, and Political Interest. The International Journal of Press/Politics, 27(3), 738–762. https://doi.org/10.1177/19401612221088987

Stein, J.-P., Linda Breves, P., & Anders, N. (2024). Parasocial interactions with real and virtual influencers: The role of perceived similarity and human-likeness. New Media & Society, 26(6), 3433–3453. https://doi.org/10.1177/14614448221102900

Stever, G. S., Giles, D. C., Cohen, J. D., & Myers, M. E. (2025). Understanding media psychology. Lawrence Erlbaum Associates.

Tajfel, H., & Turner, J. C. (2004). The Social Identity Theory of Intergroup Behavior. In Political Psychology (pp. 276–293). Psychology Press. https://doi.org/10.4324/9780203505984-16

Tsai, W.-H. S., & Men, L. R. (2017). Social CEOs: The effects of CEOs’ communication styles and parasocial interaction on social networking sites. New Media & Society, 19(11), 1848–1867. https://doi.org/10.1177/1461444816643922

Tsfati, Y., Cohen, J., Dvir-Gvirsman, S., Tsuriel, K., Waismel-Manor, I., & Holbert, R. L. (2022). Political Para-Social Relationship as a Predictor of Voting Preferences in the Israeli 2019 Elections. Communication Research, 49(8), 1118–1147. https://doi.org/10.1177/00936502211032822

Tukachinsky, R., & Stever, G. (2019). Theorizing Development of Parasocial Engagement. Communication Theory, 29(3), 209–230. https://doi.org/10.1093/ct/qty032

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Published

2026-09-29

How to Cite

Saniah, J., & Affan, A. (2026). From TikTok to the Ballot Box: Parasocial Relationships and the Construction of Presidential Choice in the 2024 Election. COMMICAST, 7(2), 392–407. https://doi.org/10.12928/commicast.v7i2.15997

Issue

Vol. 7 No. 2 (2026): September

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Articles

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