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All Journal Greenation International Journal of Law and Social Sciences
Ressa Uli Patrissia
Universitas Muhammadiyah Palangkaraya, Kalimantan Tengah, Indonesia.
Law, Crime, Criminology & Criminal Justice Social Sciences

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The Techno-Oligarchic Communication Paradox: Corporate Media Effects and Democratic Deficit in Indonesian Political Parties Rachmat Hidayat; Pritha Ayodya; Mochamad Husni; Ressa Uli Patrissia; Prasetya Yoga Santoso
Greenation International Journal of Law and Social Sciences Vol. 4 No. 2 (2026): (GIJLSS) Greenation International Journal of Law and Social Sciences (May - Jun
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijlss.v4i2.842

Abstract

Indonesian political parties exhibit a persistent democratic contradiction: electoral turnout above 79% coexists with party trust at only 35%, while algorithmic media ecology has simultaneously enabled civic mobilization and reinforced oligarchic entrenchment. Drawing on a qualitative constructivist design integrating PRISMA-guided systematic literature review (N = 44 studies, 2019–2025), single-case study of the Perindo Party, and systematic social media content analysis (N = 400 posts, κ = 0.81), this study extends Aeron Davis's (2019) four-phase media effects model through the proposed Techno-Oligarchic Communication Paradox (TOCP) framework. TOCP formalizes three structural mechanisms—Funding Corporatocracy, Digital Personalization Without Participation, and Algorithmic Legitimation Substitution—that explain how Phase 4 digital communication technologies paradoxically deepen democratic deficits within oligarchic institutional logics. Perindo's deployment of MNC Group infrastructure (68% corporate content), figure-centric microtargeting (79% HT-branded), and high algorithmic reach (34% youth) produced comprehension failure (72% unable to identify party platform) and legitimacy decline (−21 points in trust; electability at 4.1%). TOCP advances Davis's framework by centering corporate media ownership as an organizing structural variable applicable to emerging democracies in which media–party fusion is constitutive of the political communication landscape.
Wearable Artificial Intelligence in Human Communication: A PRISMA–Guided Systematic Review of Applications, Trends, and Ethical Challenges (2015–2025) Ressa Uli Patrissia
Greenation International Journal of Law and Social Sciences Vol. 4 No. 1 (2026): (GIJLSS) Greenation International Journal of Law and Social Sciences (March - A
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijlss.v4i1.783

Abstract

Wearable artificial intelligence (AI) technologies are rapidly transforming how human communication is sensed, interpreted, and augmented across multiple social contexts. Despite increasing research interest, comprehensive synthesis of empirical studies examining wearable AI in communication remains limited. This study presents a systematic literature review following the PRISMA 2020 guidelines to map the development of wearable AI communication research published between 2015 and 2025. Searches were conducted across five major databases—Scopus, Web of Science, PubMed, IEEE Xplore, and ACM Digital Library—yielding 93 eligible studies, of which 58 were included in a quantitative meta-analysis. The findings identify five dominant research clusters: health communication, interpersonal and social communication, occupational communication, educational communication, and accessibility communication. Smartwatches, EEG headbands, and biosensor-based wearables emerged as the most frequently used technological platforms, while deep learning architectures dominated analytical approaches. Results indicate that wearable AI systems can effectively infer communicative states such as emotional arousal, cognitive workload, and behavioral intention, with pooled accuracy exceeding 80% across several domains. However, significant challenges remain regarding methodological heterogeneity, limited demographic diversity, algorithmic bias, and underdeveloped ethical governance. The study concludes that wearable AI is reshaping the communicative landscape by integrating physiological sensing with algorithmic interpretation, while emphasizing the need for interdisciplinary research, inclusive datasets, and robust ethical frameworks to ensure equitable and responsible deployment.
Co-Authors Mochamad Husni Prasetya Yoga Santoso Pritha Ayodya Rachmat Hidayat