Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
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This Author published in this journals
All Journal Linguistics and Elt Journal International Journal of English and Applied Linguistics (IJEAL) Register : Journal of English Language Teaching and Learning of FBS UNIMED
Ma, Cynthia
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Humanities Education Languange, Linguistic, Communication & Media

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Language and Gender: Analyzing Male and Female Speech in a Debate Setting Ma, Cynthia; Rahma, Alya Vania; Septiandri, Muhammad Rizky; Rangkuti, Rahmadsyah
Linguistics and ELT Journal Vol 12, No 2 (2024): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/leltj.v12i2.27345

Abstract

Gender and language is a topic that continues to be relevant among scholars. This study examines the influence of gender on communication styles in a debate uploaded on Youtube titled “Can 25 Liberal College Students Outsmart 1 Conservative? (feat. Charlie Kirk)”. The research is guided by Deborah Tannen’s theory of report talk and rapport talk. This research focuses solely on the first premise about abortion. The participants include five female and three male students, along with Charlie Kirk. Qualitative content analysis was  used, with the dialogues transcribed and manually coded. The results align with the generalization that men often use report talk, while women lean toward rapport talk. However, the findings also reveal that both genders can switch styles depending on the situation. This study highlights the role gender plays in shapping communication strategies during debates. Although the sample size and analysis duration are limited, the findings offer valuable insights into gender communication in formal settings.
Targeting the Family : A Discourse Analysis of Dancow's 2024 Marketing Strategies Ma, Cynthia; Delfi Nazilah Lubis; Theofani Leonita Siagian; Nikita Tantira; Lydia Permata Sari; T. Thyrhaya Zein
REGISTER: Journal of English Language Teaching of FBS-Unimed Vol. 14 No. 1 (2025)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/reg.v14i1.64380

Abstract

Advertisements play a significant role in shaping how we perceive products and make decisions. This study explores how two Dancow advertisements—Dancow 1+ Imunutri and Dancow Fortigro Coklat—use language and visuals to connect with their audiences. Using Fairclough’s Critical Discourse Analysis (CDA) framework, the data, which includes transcribed dialogues and visuals, were taken from the SOOYA CHAN YouTube channel. The findings reveal that while both ads emphasize key nutrients like DHA and iron, they speak to parents in different ways. The Dancow 1+ Imunutri ad focuses on affordability and nutrition for toddlers, reassuring parents of their role in supporting early growth. Meanwhile, the Dancow Fortigro Coklat ad highlights taste and cognitive benefits for school-aged children, connecting with parents’ hopes for their kids’ education and enthusiasm. These findings show how advertisements reflect societal values, especially the central role of mothers in nurturing their children. With only two ads analysed due to time constraints, future studies could look at a broader range of advertisements and explore how audiences respond to them to better understand marketing strategies.
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.
Co-Authors Delfi Nazilah Lubis Fadhlillah, Rafi Isham Lydia Permata Sari Nikita Tantira Rahma, Alya Vania Rangkuti, Rahmadsyah Septiandri, Muhammad Rizky Siagian, Theofani Leonita Sibarani, Lydia permata Sari T. Thyrhaya Zein Theofani Leonita Siagian