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All Journal Jurnal Public Relations (J-PR) INTERACTION: Jurnal Pendidikan Bahasa
Henry Sianipar
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Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Framing Transformation in Digital Political Communication: An Analysis of the Role of Political Influencer Denny Siregar on Social Media Henry Sianipar; Pritha Ayodya; Andreas Sainyakit; Miftahol Anwar; Bagus Sudarmanto
INTERACTION: Jurnal Pendidikan Bahasa Vol. 12 No. 1 (2025): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/interactionjournal.v12i1.3160

Abstract

This study analyzes the framing transformation carried out by Denny Siregar as a political influencer on Indonesian social media during the period of 2014–2024. Using a qualitative approach with a constructivist paradigm and Robert Entman's framing analysis model, this research explores how Denny Siregar went through three significant transformation phases: the Ahok supporter phase (2014–2017), the Jokowi supporter phase (2014–2022), and the Jokowi critic phase (2022–2024). Data were collected through social media content analysis on Facebook, Twitter, Instagram, and YouTube, as well as secondary document analysis. The findings show that the framing transformation was influenced by political, economic, social media technology factors, and audience dynamics. In the Ahok supporter phase, the framing focused on bureaucratic reform and anti-corruption narratives using good personification strategies and moral polarization. The Jokowi supporter phase featured narratives of infrastructure development and counter-framing against opposition using selective data. The Jokowi critic phase employed betrayal narratives and historical reframing with value consistency positioning. This transformation impacted follower composition changes of up to 30% and a decline in engagement of up to 40%, while increasing discussion polarization. This research contributes to the development of framing theory by adding temporal and dynamic dimensions in social media contexts and offers practical insights into digital political communication strategies and their implications for Indonesian democracy.
Digital Power and the Regime of Truth: A Foucauldian Analysis of Algorithmic Journalism Henry Sianipar; Hermawan Yulianto; Hasan Mukti Iskandar; Alexander Seran
INTERACTION: Jurnal Pendidikan Bahasa Vol. 12 No. 1 (2025): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/interactionjournal.v12i1.3825

Abstract

Algorithmic journalism has transformed the Indonesian digital media landscape, creating a paradox between the democratization of information and the restriction of freedom. This study analyzes the phenomenon through the lens of Michel Foucault's theory of power, using a qualitative research method with a critical constructionism paradigm. The study of platforms such as Detik.com, TikTok, and Facebook reveals that algorithms operate as a “digital panopticon,” monitoring and disciplining user behavior through biopower technology. Filter bubbles and algorithmic bias create a “regime of truth” that shapes digital subjectivity and controls the distribution of information. However, Foucault's concept of parrhesia offers strategies of resistance through digital literacy and self-management practices. This research contributes to understanding algorithms not as neutral technical instruments but as power mechanisms that shape digital social reality. The practical implications include developing algorithmic transparency regulations and strengthening public participation in technology oversight.
Akomodasi Komunikasi dan Rekomendasi Model Early Warning System (EWS) pada Kasus Ujaran Kebencian Berbasis Etnis di Media Sosial Sarasati, Fitri; Jamalullail; Hamzah Ramadhan; Henry Sianipar; Tri Wahyuti
Jurnal Public Relations (J-PR) Vol. 6 No. 1 (2025): April 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/m9m5fd11

Abstract

This research analyzes the Toraja-Makassar ethnic conflict triggered by hate speech on social media and proposes a conflict prevention model based on the Early Warning System (EWS). Using Communication Accommodation Theory, research identifies forms of divergence in hate speech that widen social and cultural distances between ethnic groups. As a solution, the PRISMA EWS (Proactive Real-time Integrated Social Media Analysis Early Warning System) model is proposed which consists of four layers: monitoring-detection-analysis-response, analysis & assessment, warning system, and core system. This model is designed to detect early signs of conflict through social media analysis using machine learning, taking into account the local cultural context and involving various stakeholders. The research methodology used is qualitative with a comprehensive literature study approach to analyze the Toraja-Makassar ethnic conflict and develop a social media-based Early Warning System (EWS) model. The research results show that the PRISMA EWS model has the potential to be effective in preventing ethnic conflict on social media, although its implementation requires technological infrastructure support and intensive multi-stakeholder cooperation..
Co-Authors Alexander Seran Andreas Sainyakit Bagus Sudarmanto Hamzah Ramadhan Hasan Mukti Iskandar Hermawan Yulianto Jamalullail Miftahol Anwar Pritha Ayodya Sarasati, Fitri Tri Wahyuti