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MH370 HEADLINES: A COMPARATIVE ANALYSIS OF EMOTIVE LANGUAGE IN TWO NEWSPAPERS Ahmar, Amirah Izzati Syahrul; ISMAIL, ISMA NOORNISA
SIGEH ELT : Journal of Literature and Linguistics Vol 5, No 1 (2025): SIGEH ELT : Journal of Literature and Linguistics
Publisher : Universitas Muhammadiyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/sigeh.v5i1.2975

Abstract

The strategic use of emotive language in journalistic headlines serves to capture reader attention and evoke emotional responses. This study examines the application of emotive language in headlines related to Malaysian Airlines Flight 370 (MH370) through a comparative analysis of New Straits Times and The Washington Post. Using Martin and White's (2005) appraisal theory, the research investigates attitude systems (affect, judgement, and appreciation) and graduation systems (sharp and soft tones) in headline construction. The study adopts a qualitative approach, analyzing 10 headlines from each publication through content analysis, with headlines selected via homogeneous purposive sampling. The findings reveal that cultural context significantly influences the deployment of emotive language, with news outlets strategically leveraging social contexts to elicit specific emotional responses from their target audiences. This relationship between cultural background and emotional interpretation underscores both the power and potential risks of emotive language in headline construction. While effective use of emotive language can enhance reader engagement, its misuse may lead to sensationalism and misinterpretation of news content. These insights provide valuable guidance for researchers, journalists, and academicians in crafting effective and ethically sound headlines.
Request modifications by Malay speakers of English in the workplace: A contrastive pragmatic analysis Idris, Aizatul Aisyah Mohd; Ismail, Isma Noornisa
Studies in English Language and Education Vol 10, No 2 (2023)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/siele.v10i2.26464

Abstract

A request is one of the most frequently used speech acts in a persons daily life. Many studies have been conducted on the act of request and several researchers have developed strategies and modifications that are used in delivering requests to mitigate the imposition of the FTA. Thus, this study aims to investigate the internal and external modifications applied in requests by Malay speakers of English and Malay to specific requestees in the workplace context following Blum-Kulka et al.s (1989) Request Modification framework. To achieve the purpose of this study, a qualitative approach was employed. A number of 30 Malay workers were asked to complete a Written Discourse Completion Task (WDCT) which involves eliciting requests. The findings revealed that the respondents used more internal modifications in their requests with people of equal relative power compared to high and low relative power, and used more external modifications in requests with a higher degree of imposition in certain contexts. This implies the act of request from the viewpoint of the Malaysian workplace context. It offers meaningful insight into the preferences of working Malay speakers of English in modifying their requests, and shows the level of pragmatic competence of Malay speakers of English and Malay in the workplace environment.
Performative Inclusion and Diplomatic Emotion: Strategic Crisis Communication of Global Food Security Leaders on Social Media Hasbullah, Nor Azila; Nair, Ramesh; Ismail, Isma Noornisa
Jurnal Arbitrer Vol. 13 No. 1 (2026)
Publisher : Masyarakat Linguistik Indonesia Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ar.13.1.34-54.2026

Abstract

Existing crisis communication frameworks are mostly orientated toward sheltering the reputation of an organization, thus limited insights are presented into how global leaders sustain legitimacy and solidarity during prolonged humanitarian crises, such as global food security issues. Addressing this gap, this study examines how six leaders from major international food security institutions (UN, FAO, WFP, IFAD, IFPRI, and USAID) employed rhetorical strategies on X (formerly Twitter) to address food security challenges during the COVID-19 pandemic (2020–2022). The study investigates five communication styles: inclusive language, thematic framing, emotive discourse, rhetorical markers, and temporal storytelling by using qualitative content analysis of 302 tweets and following the Restorative Rhetoric framework. Findings show that leaders used strategic, inclusive, and empathetic language, narrative coherence, and solution-oriented framing to gain support and visualize institutional legitimacy. This study proposes two novel concepts: performative inclusion, which refers to the strategic use of rhetoric by leaders to convey unity while concealing persistent power asymmetries, and diplomatic emotion, the bounded expression of empathy regulated by institutional authority. These insights extend strategic communication theory by showing how leaders balance authenticity, authority, and legitimacy in digital crisis contexts. The study offers guidance for institutions on designing communication strategies with a combination of empathy, participation, and credibility in managing global crises.
Generative AI in Translation: Trust, Transformation, and Pedagogical Integration in the Post-LLM Era Yaqin, Lalu Nurul; Ismail, Isma Noornisa
International Journal of Linguistics and Indigenous Culture Vol. 4 No. 1 (2026): March
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ijlic.v4i1.4676

Abstract

The emergence of large language models (LLMs) like Catgut has sparked both excitement and anxiety in the translation field. This literature review critically examines how generative AI is reshaping professional translation and translator education in the post-LLM era. Early studies showed that ChatGPT could produce translations between major languages with quality on par with neural machine translation, fueling hopes for productivity gains. However, trust in generative AI among translators remains limited. Surveys indicate that practitioners adopt tools like ChatGPT cautiously, primarily for ancillary tasks such as summarisation or drafting ideas. Key concerns, including data privacy, confidentiality, output accuracy, and the threat of job displacement, undermine translators’ trust in AI systems. We situate these concerns within technology acceptance models (TAM2) and AI trust frameworks, highlighting how perceived usefulness, reliability, and transparency shape adoption. At the same time, generative AI is transforming translation workflows: translators’ roles are evolving toward post-editing and quality control, raising questions of professional identity and autonomy. In translator education, recent experiments integrating ChatGPT show improved student performance and confidence, provided that pedagogical approaches emphasise critical AI literacy and post-editing skills. This review synthesises theoretical and empirical insights from 2023 to 2025 to present a balanced perspective on generative AI in translation. We argue that a human-centric integration of GenAI, one that builds translator trust, addresses ethical/legal risks, and nurtures new competencies, will be essential for harnessing these technologies’ benefits without undermining professional standards.