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Journal : Jurnal Natapraja : Kajian Ilmu Administrasi Negara

MASS MEDIA FRAMING ON DISASTER: CASE STUDY LANDFIRE IN SOUTH SUMATERA Murti, Krisna; Musdalifah, Farisha Sestri; Andarinini, Rindang Senja; izzudin, muhammad
Natapraja Vol 11, No 1 (2023): Policy Reform
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/natapraja.v11i1.54904

Abstract

Indonesia is among the nations with the highest number of natural disasters. This syndrome is aggravated by unbalanced information provided by the media. The media use framing to enforce information distribution rules, particularly in regards to forest and land fire reporting. Using a constructivist research methodology, this study argues that framing is the key to influencing public opinion towards actors who might be perceived positively or negatively. The results showed that mass media framing was divided into several themes. This framing explains how the mass media has an important role in disseminating disaster-related information to the public. Some evidence suggests that political competition among the local political elite contributes to the occurrence of forest fires, it’s also ensued in mass media in Indonesia. If the government is unable to enforce strong regulations on irresponsible parties, forest fires will persist. The mass media must exist as a tool to regulate its population so that they do not burn forests and land that is detrimental to the nation.
CELEBRITIES AS LEGISLATORS IN INDONESIA: A CORPUS-ASSISTED DISCOURSE ANALYSIS OF PUBLIC NARRATIVES ON SOCIAL MEDIA X Nasyaya, Annada; Musdalifah, Farisha Sestri; Yogsunandar, Harry
Natapraja Vol. 13 No. 1 (2025): Governance Studies
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/natapraja.v13i1.84707

Abstract

This study explores public responses to celebrities elected as members of the Indonesian House of Representatives for the 2019–2024 term. The study adopts a corpus-assisted discourse analysis (CADS), a methodological approach that combines corpus linguistics and critical discourse analysis to identify dominant patterns, lexical features, and thematic structures in large-scale textual data. A dataset of 26,120 tweets mentioning 14 celebrity legislators was collected through data scraping from October 2019 to June 2024. The data were processed using Google Colaboratory and R Studio for cleaning, and analyzed with AntConc to identify linguistic patterns, keywords, and thematic categories. The analysis reveals that discussions are concentrated on a few prominent figures—namely Krisdayanti, Rano Karno, and Eko Patrio highlighting themes such as personal background, lifestyle, legislative activity, and public image. Findings show that public opinion is polarized, with both positive and critical evaluations of celebrity-legislators’ effectiveness and authenticity. This study also highlights the intersection between entertainment and formal politics in Indonesia. Policy implications highlight the need for capacity-building and transparency mechanisms to support celebrity politicians in promoting effective public communication and democratic accountability.