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All Journal Linguistics and Elt Journal International Journal of English and Applied Linguistics (IJEAL) Journal of Language Education, Linguistics, and Culture
Sibarani, Lydia permata Sari
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Education Languange, Linguistic, Communication & Media

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Gender, Power, and Emotion: A Feminist Stylistic Analysis of Beyoncé’s 'If I Were a Boy Situmorang, Nia Felicia; Sibarani, Lydia permata Sari; Simbolon, Febrian Valentino; Kerwin, Kerwin; Rangkuti, Rahmadsyah
J-LELC: Journal of Language Education, Linguistics, and Culture Vol. 5 No. 2 (2025): J-LELC: Journal of Language Education, Linguistics, and Culture
Publisher : UIR Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/j-lelc.2025.22220

Abstract

This study applies Sara Mills’ feminist stylistics to Beyoncé’s If I Were a Boy to examine how linguistic structures reveal gender inequality in romantic relationships. The analysis at lexical, syntactic, and discourse levels shows how the song constructs and critiques dominant gender roles. Through hypothetical language and role reversal, the female narrator exposes emotional double standards and critiques male privilege. Key findings highlight how male autonomy and emotional detachment are normalized, while women are burdened with empathy and accountability. This study contributes to gender studies and media analysis by demonstrating how feminist stylistics can uncover embedded power imbalances in mainstream music.
Evaluative Meaning in AI-Generated Opinion Texts about Indonesia's DPR Ma, Cynthia; Siagian, Theofani Leonita; Sibarani, Lydia Permata Sari; Fadhlillah, Rafi Isham; Rangkuti, Rahmadsyah
International Journal of English and Applied Linguistics (IJEAL) Vol. 5 No. 3 (2025): Volume 5 Nomor 3 Desember 2025
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijeal.v5i3.7087

Abstract

Artificial intelligence has become increasingly capable of producing journalism texts, raising questions about how it constructs evaluative meaning. This study explores how AI systems express attitudes toward the Indonesian House of Representatives in opinion pieces written in response to recent socio-political events. Using the Attitude subsystem of Martin and White’s Appraisal Theory, the research focuses on identifying Affect, Judgment, and Appreciation in AI-generated texts. The data were collected from three popular AI platforms, namely ChatGPT, Gemini, and Perplexity, through structured prompts designed to elicit critical opinions. The findings reveal that while AI can articulate evaluations coherently, its expressions are dominated by judgment and appreciation rather than affect, showing limited emotional engagement. This suggests that AI primarily reproduces socially acceptable evaluative patterns rather than genuine feelings.
Impoliteness Strategies in Online Political Discourse: A Study of Hate Comments on Ahmad Sahroni’s Instagram Account Lubis, Delfi Nazilah; Siagian, Theofani Leonita; Tantira, Nikita; Sibarani, Lydia Permata Sari; Rangkuti, Rahmadsyah
Linguistics and ELT Journal Vol 13, No 2 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/leltj.v13i2.36958

Abstract

Language used in digital communication shows how people express feelings and deal with social power. In the case of Indonesia’s social media, being rude or impolite has become a big part of how users share their opinions and criticize others. This study looks into the different ways people use impolite language in comments that target Ahmad Sahroni, an Indonesian lawmaker, on Instagram. This research collected 50 comments from various Instagram posts, including political and lifestyle topics, to cover a wide range of online hostility. This study uses a qualitative descriptive method and applies Computer Mediated Discourse Analysis (CMDA) to understand how social media features influence the way people talk. Culpeper’s Impoliteness Theory is used as the main way to analyze the language. The results show five main types of impolite strategies: bald on record, positive impoliteness, negative impoliteness, sarcasm or mock politeness, and withholding politeness. Among those, positive impoliteness is the most common. People often use moral and religious words to make their comments seem justified, while humor and sarcasm help hide their anger. These findings show that impolite language isn’t just about showing moral judgment in online conversations. This study adds to the understanding of how language works in digital spaces by looking at impoliteness in moral contexts and helps explain how social media supports group behavior around moral responsibility
Co-Authors Fadhlillah, Rafi Isham Kerwin, Kerwin Lubis, Delfi Nazilah Ma, Cynthia Rangkuti, Rahmadsyah Siagian, Theofani Leonita Simbolon, Febrian Valentino Situmorang, Nia Felicia Tantira, Nikita