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Kpopification: Politicizing Fandom in Indonesia's 2024 Presidential Election Campaign of Anies Baswedan Yasinta, Jasmine Rizky El; Nanda, Elvira Chandra Dewi Ari; Aurora, Kezia; Wibowo, Isac Cristopher; Alhuda, Muhammad Ahsan; Purwaningtyas, Mashita Phitaloka Fandia
Politicon : Jurnal Ilmu Politik Vol. 7 No. 1 (2025): Politicon : Jurnal Ilmu Politik
Publisher : UIN Sunan Gunung Djati

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Abstract

In the 2024 presidential election, a fan community (fandom) named Humanies emerged to support one of the presidential candidates, Anies Baswedan. This support began with the emergence of @aniesbubble and @olpproject accounts on social media X, which carried out many activities that adopted fandom culture, such as crowdfunding and fan-projects to support their idol. This research aims to find out how fandom culture is utilized in Anies Baswedan’s political campaign on social media X, how the utilization of fandom politicization affects the gen-Z view about Anies Baswedan in the 2024 Presidential Election, and to determine the effectiveness of the campaign. The research method is a mixed-method that combines qualitative and quantitative approaches, conducted with netnography and survey. The result of this research shows that @aniesbubble and @olpproject accounts successfully adopted fandom culture as a campaign tool for Anies Baswedan. In addition, this research finds out that the politicization of fandom proved to have an influence of 79% on gen-Z’s views on Anies Baswedan and the campaign proved to be effective.
Unseen Bias: How AI Shapes Religious Narratives in Digital Spaces Nurjaman, Hilman; Siregar, Achmed Faiz Yudha; Yasinta, Jasmine Rizky El
Journal Of Middle East and Islamic Studies
Publisher : UI Scholars Hub

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Abstract

This study explores the role of artificial intelligence (AI) in shaping religious narratives in digital spaces, particularly on social media platforms and AI chatbots. Using sentiment analysis and qualitative content analysis, this research examines religious discourse in Indonesia, focusing on the impact of AI-driven content personalization, such as 'filter bubbles' and 'echo chambers'. The findings indicate that AI algorithms reinforce religious biases, intensifying polarization and discrimination, especially between majority and minority religious groups. The study also highlights the socio-political factors influencing these dynamics, including identity politics, historical religious tensions, and conservative social norms. This research emphasizes the need for a more inclusive and ethical approach to AI in moderating religious content and fostering interfaith dialogue.