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Conversational Analysis of Politeness Strategies in Tom Lembong’s Political Podcast Interview Nidiya Mawarni; Dwi Putri Lestari; Krisna Weny; Jamaluddin Nasution
INTERACTION: Jurnal Pendidikan Bahasa Vol. 13 No. 1 (2026): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Program Studi Pendidikan Bahasa Inggris, Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/interactionjournal.v13i1.4481

Abstract

This study investigates how politeness strategies and conversational structures shape Tom Lembong’s political communication style in the What Is Up, Indonesia? podcast. Integrating Leech’s (2014) Politeness Principle and Yule’s (1996) Conversational Analysis (CA), the research aims to identify the types of politeness maxims employed and examine how conversational features contribute to constructing Tom’s political persona. Using a qualitative descriptive approach, the data were drawn from Tom Lembong’s utterances in a 40-minute YouTube interview. The analysis identified seven politeness maxims, with the Agreement Maxim occurring most frequently (22), followed by Approbation (11), Opinion Reticence (11), Tact (10), Modesty (10), Sympathy (5), and Feeling Reticence (4). Conversational features were also found throughout the interaction, dominated by Feedback (12), Turn-Taking (8), Repair (8), Sequence (6), and Action Formation (5). The findings reveal that Tom’s political persona is constructed through the synergy of politeness and conversational organization. His frequent use of agreement, praise, humility, and cautious opinion expression, combined with smooth turn-taking, responsive feedback, and effective repair, produces an image of a calm, respectful, and approachable political figure. This study contributes to digital political discourse research by demonstrating that politeness is not only reflected in lexical choices but also embedded in interactional structure. It further shows how political identities are strategically shaped in contemporary online media, suggesting opportunities for future comparative studies across different political actors and platforms.
Attitude System in Donald Trump’s Speech on Harvard’s Foreign Students: An Appraisal Analysis Cut Nadia Muji Rahmah; Nurlela; Nidiya Mawarni; Aisyah Inka Putri Lubis
LingPoet: Journal of Linguistics and Literary Research Vol. 7 No. 1 (2026): LingPoet: Journal of Linguistics and Literary Research
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study investigates the evaluative language used by Donald Trump in his speech concerning Harvard University’s treatment of foreign students, employing the Attitude system from Appraisal Theory. Focusing on three subsystems such as Affect, Judgement, and Appreciation. This study analyzes how Trump constructs his political persona, positions ideological others, and frames educational policy within nationalist discourse. The data were drawn from transcribed segments of a publicly available speech and analyzed qualitatively using Appraisal Theory as the primary analytical framework. The findings reveal that Judgement was the most dominant Attitude type (44.29%), followed by Appreciation (35.71%) and Affect (20%). Most evaluations (58.57%) were directed toward others (especially institutions and political actors), while the remaining 41.43% targeted the speaker himself. The overall evaluative polarity was predominantly negative (61.43%), with positive evaluations accounting for 38.57% of the data. Trump frequently praised his own leadership capacity while expressing dissatisfaction or moral condemnation toward elite institutions. Notably, this study highlights a rarely examined theme in Trump’s discourse: education policy. By framing foreign students as victims and elite universities as ideologically flawed, Trump repositions the education sector as a site of political contestation. This study contributes to the growing body of literature on political discourse by extending Appraisal analysis into the educational domain, revealing how evaluative meanings shape public narratives beyond traditional themes like war and immigration.