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Journal : JOURNAL OF APPLIED LINGUISTICS AND LITERATURE

Unpacking ideological affiliation through evaluative language: Attitudinal and coupling patterns in The Jakarta Post editorials Yulizar Komarawan; Mulyati Khorina; Khoirun Nisaa’ Arnoi
JOALL (Journal of Applied Linguistics and Literature) Vol. 10 No. 2 (2025): August 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/joall.v10i2.41849

Abstract

Editorials are widely recognized as a space where newspapers express their views and shape public opinion. While much attention has been given to the persuasive function of editorials, relatively little scholarly work has explored how evaluative language is used to build affiliation between writers and readers. This study addresses that gap by examining how The Jakarta Post constructs ideological affiliation through evaluative languages (attitudes), coupling patterns, and affiliation strategies. Drawing on Appraisal Theory within Systemic Functional Linguistics, the study explores how attitudes are constructed and combined with ideational content to position readers. The data were five editorial texts which were selected using a constructed week sampling method over a one-month period to ensure variety and balance. The findings show that appreciation is the most common type of attitude, which often appears in negative forms to criticize policies and institutional performance. Judgment is often used in the investigated editorials, especially when evaluating public figures. In contrast, affect appears less frequently, but it still plays an important role in conveying shared emotional concerns. These attitudes are usually presented through couplings with ideational elements such as actors, events, or policies. This combination makes the evaluations more persuasive. Two dominant coupling patterns were identified, namely [NEG + INDONESIA] which is used to criticize government performance and policy and [POS + INDONESIA] which highlights national values or collective goals. To foster alignment with readers, the editorials employ affiliation strategies such as conceding and overriding (a divisive strategy) and repetition (a solidary strategy) which help guide readers toward shared viewpoints or editorial stances. The findings shed light on a clearer understanding of how evaluative language in editorials builds ideological affiliation. The study offers theoretical insights into appraisal in Indonesian media discourse and practical contributions by highlighting how evaluative language shapes reader perspectives and supports media literacy development.
Verbal-visual evaluation in disaster reporting: Attitudinal analyses of hard news in The Jakarta Post Meilinda, Lina; Komarawan, Yulizar; Rahmah , Ilma Yullinda
JOALL (Journal of Applied Linguistics and Literature) Vol. 11 No. 1 (2026): February, 2026 (On Process)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/joall.v11i1.45946

Abstract

Disaster news helps the public understand crisis events and is often presented as factual and objective because it is classified as hard news. However, disaster reports still contain evaluative elements that shape how events and social actors are perceived. These evaluations are expressed through both language and news photographs. This study examines how such evaluations are constructed in disaster reports from The Jakarta Post through the interaction between written texts and accompanying news photographs. The study draws on Appraisal Theory, as proposed by White and Martin within the framework of Systemic Functional Linguistics. It analyses attitude resources in hard news reporting, realised through verbal and visual modes, and their intersemiotic relations. The data consist of eleven hard news articles, purposively selected 2024 that meet specific inclusion criteria. Both verbal and visual elements were analysed qualitatively, supported by simple frequency counts to identify dominant patterns. The findings show 185 attitude instances distributed across three types. Negative appreciation is the most common (47%), followed by negative affect (24%). These are mainly used to show physical damage, loss, and human suffering. In contrast, positive judgment makes up 29% of the data and is used to present institutions, such as government agencies and rescue teams, as responsible and effective. News photographs support these meanings by showing destruction, danger, and humanitarian action. Across text and images, repetition and extension strengthen evaluative meanings and create a consistent viewpoint. The study shows that disaster reporting is evaluative and multimodal. Therefore, it highlights the need for critical multimodal literacy to understand how meaning is constructed through language and images.