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Feminist Stylistics Analysis of the Movie “Gangubai Kathiawadi”: The Queen of Kamathipura who Defied Gender Inequality Afandi, Fahri; Salim, Fahri; Nabila, Kanaya Nur; Meisya, Shalsa Billa; Rangkuti, Rahmadsyah
Journal of English Language and Education Vol 10, No 3 (2025)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v10i3.1049

Abstract

This research was aimed at analyzing gender inequality and social discrimination in the movie “Gangubai Kathiawadi” describing how women and gender roles presented in texts by applying a feminist approach. Through a qualitative descriptive approach, this study explores the dialogue in the movie at three different levels; words level, phrase/sentence level, and discourse level. The primary objective of this research is to see how gender bias is depicted through texts. One of the main findings of this study is that women in brothels are often treated as lawbreakers, even though they are often in oppressive situations and how the main character in this movie tries to fight for the rights and integrity of women. The dialogue in the movie successfully depicts the injustice experienced by women. Reinforcing the idea that justice, security, and a decent life are the rights of all women, regardless of their jobs.
MEDIA, DISINFORMATION, AND PUBLIC DECODING: AN ONLINE RECEPTION STUDY OF POLITICAL DISCOURSES Sitorus, Rosalyn Magdalena br.; Nabila, Kanaya Nur; Fitriana, Fadila; Meisya, Shalsa Billa; Ginting, Valencia Laurence; Putri, S.S., M.Si., Dian Marisha
KLAUSA (Kajian Linguistik, Pembelajaran Bahasa, dan Sastra) Vol 9 No 2 (2025): KLAUSA Vol 9 No 2 (2025)
Publisher : Ma Chung Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/klausa.v9i2.1332

Abstract

This study aims to analyze the political meaning influenced by the media and disinformation interpreted by Indonesian netizens in the online space, especially the connection with the influence of digital literacy, trust in institutions, and political discord. This study employs a qualitative reception analysis based on the Encoding/Decoding paradigm developed by Stuart Hall in 1980, which produced three reading positions: Dominant-hegemonic, Negotiated, and Oppositional. In addition, Critical discourse analysis (CDA) and digital ethnography also form the theoretical basis of this study. The data was collected from four main social media platforms in Indonesia, namely X (formerly Twitter), Instagram, TikTok, and Threads. The results show that Oppositional reading is the most common type of reading position (40%), followed by Dominant-hegemonic reading (35%) and Negotiated reading (25%). In general, the results show that Indonesian netizens display various decoding methods influenced by many backgrounds. Furthermore, it was also found that social media not only functions as a democratic space but also a space for the spread of disinformation. This study provides valuable insight into the political meanings influenced by the media and disinformation as interpreted by Indonesian netizens in the online space. Furthermore, this study contributes to understanding the relationship between political views and individual backgrounds.
When Sadness Speaks in Two Tongues: English Code-Switching in Indonesian TikTok Sad Post Captions Afandi, Fahri; Nabila, Kanaya Nur; Meisya, Shalsa Billa; Rangkuti, Rahmadsyah
EXCELLENCE: Journal of English and English Education Vol 5 No 2 (2025): EXCELLENCE (In Press)
Publisher : English Education Study Program FKIP Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/ejeee.v5i2.1342

Abstract

This study investigates the phenomenon of code-switching in sad post captions on TikTok, focusing on its types, contexts, and communicative functions. Although code switching on digital platforms has been widely studied, the switching context remains underexplored. Using a qualitative descriptive approach with content analysis, this study examines 29 sad-related TikTok captions collected between 2022 and 2025. The analysis is guided by Muysken’s typology, Blom and Gumperz’s contextual categorization, and the functional frameworks of Gumperz and Wardhaugh. The findings show that alternation is the most frequent type of code-switching, indicating frequent shifts between Indonesian and English across clauses. Contextually, metaphorical switching predominates, suggesting that code switching is strongly driven by emotional emphasis. Functionally, message qualification and affective expression dominate, indicating that code switching primarily serves to intensify emotional meaning rather than to convey informational content. This study contributes to sociolinguistics, highlighting how Indonesian bilingual users perform code-switching on TikTok as a strategic medium for emotional expression, identity performance, and digital self-representation.