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All Journal Jurnal Penelitian Ilmu-Ilmu Sosial Journal of Education and Contemporery Linguistics
Ahmad Abdul Muhhit
Universitas Gadjah Mada
Humanities Social Sciences

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Power Representation and Public Resistance in the Hashtag Discourse #BubarkanDPR: A Critical Discourse Analysis Muhamad Saiful Mukminin; Ahmad Abdul Muhhit; Libra Dui Putra; Jefri Zolila; Md. Kamruzzaman Khandoker; Aqeel Ahmed
Jurnal Penelitian Ilmu-Ilmu Sosial Vol. 7 No. 1 (2026): In Press
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/sosial.v7i1.13069

Abstract

The development of social media in Indonesia has created a digital public space that enables people to express aspirations, criticism, and protest. One prominent phenomenon is hashtag activism, such as #BubarkanDPR. This study aimed to analyze the representation of power and public resistance in the digital discourse of #BubarkanDPR. The research combined qualitative and quantitative methods, employing descriptive and interpretative approaches to understand language patterns, symbolism, and public resistance strategies, as well as frequency analysis of words, hashtags, and lexicons to identify dominant patterns and the intensity of public expression. The data consisted of 1,237 posts on the X platform using the hashtag #BubarkanDPR from August 20 to September 1, 2025, collected through crawling using Python and tweet-harvest Node.js, and then manually cleaned. The analysis was conducted using Norman Fairclough’s AWK model of Critical Discourse Analysis (CDA), covering text analysis, discourse practice, and socio-cultural practice, with the assistance of AntConc 4.3.1 to map wordlists, word frequencies, collocations, and KWIC. The findings revealed that the DPR was represented as a symbol of corruption, betrayal, and democratic failure, while the public expressed resistance through delegitimization, collective calls, and emotional and vulgar language. These results underscore an ideological shift toward anti-establishment sentiments and highlight the role of digital democracy as a battleground for power.
Personification Language Style in The Poem Created by ChatGPT Muhamad Saiful Mukminin; Libra Dui Putra; Ahmad Abdul Muhhit; Amon Bernabas Tenis
Journal of Education and Contemporary Linguistics Vol. 1 No. 02 (2024)
Publisher : CV Alifba Media

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Abstract

The present research aims to analyze the use of personification in poems generated by ChatGPT. A qualitative descriptive method is employed to examine the use of personification in the poems produced by this language model. The data used in the study consists of poems generated by the ChatGPT platform. Data collection techniques include observation and note-taking by providing the prompt “create a poem!” to ChatGPT. The data analysis is conducted in three stages: data reduction, data presentation, and conclusion drawing. In the data reduction stage, parts of the poems containing personification are identified, focusing on the attribution of human characteristics to inanimate objects or abstract concepts. In the data presentation stage, the poems containing personification are described and explained, accompanied by concrete examples and contextual explanations of their usage. In the final stage, conclusions are drawn based on the analysis. The results of the study show that out of the ten poems analyzed, 28 cases of abstract personification and 33 cases of concrete personification were found. The poem titled Whispering Love stands out for its use of abstract personification, while the poem Harmony of Nature predominantly uses concrete personification. Personification in ChatGPT-generated poems enhances both aesthetic and emotional quality and helps make abstract concepts more comprehensible to readers.
Co-Authors Amon Bernabas Tenis Aqeel Ahmed Jefri Zolila Libra Dui Putra Md. Kamruzzaman Khandoker Muhamad Saiful Mukminin