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A DATA-DRIVEN HYBRID FRAMEWORK FOR TELEVISION AND MEDIA ETHICS: SCIENTOMETRICS AND DISCOURSE NETWORK ANALYTICS

Authors: JIMI NAROTAMA MAHAMERUAJI, ATWAR BAJARI, DADANG RAHMAT HIDAYAT, ACENG ABDULLAH;

A DATA-DRIVEN HYBRID FRAMEWORK FOR TELEVISION AND MEDIA ETHICS: SCIENTOMETRICS AND DISCOURSE NETWORK ANALYTICS

Abstract

This study integrates bibliometric mapping and Discourse Network Analysis (DNA) to examine television and media ethics across scholarship and online news discourse. Bibliometrically, Scopus-indexed publications (2000–2024; n = 238) were analyzed using ScientoPy to compute AGR, ADY, PDLY, and the h-index. Results indicate a marked rise in output after 2018, with recurrent themes around media ethics and television discourse, and a prominent cluster related to reality television, alongside emerging lines of inquiry such as artificial intelligence, indigenization, and televangelism. Complementing this macro-level view, DNA was applied to Indonesian online news coverage in 2025 (Google News retrieval via Linkclump; keyword “Etika Televisi”; n = 69). Network modeling (DNA 3.0.11) and visualization (Visone 2.28.1) show a centralized discourse structure in which KPI and the Press Council (Dewan Pers) function as anchor nodes, while issue connectivity concentrates on General News and Broadcasting Ethics. The individual–issue network further suggests cross-issue linkage through intermediary nodes (e.g., journalists). Limitations include reliance on a single indexing database and potential platform/source bias in Google News retrieval; future research should expand databases, use multi-platform media corpora, and test robustness with longitudinal and metric-based network validation.

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