scholarly journals A Corpus-Assisted Critical Discourse Analysis of the Syrian Refugee Crisis in Jordanian Newspapers

2020 ◽  
Vol 10 (6) ◽  
pp. 195
Author(s):  
Amal Riyadh Kitishat ◽  
Murad Al Kayed ◽  
Mohammad Al-Ajalein

The present study employs corpus linguistics and critical discourse analysis to investigate the attitudes of Jordanian news towards the Syrian refugee crisis. The corpus of the research, which consists of 10140 articles (Word types: 103170 and Word tokens: 1956589), were taken from the Petra news agency between 2016 and 2018. Antconc Tools Version 3.4.4w was used to analyze the data. The study used corpus statistical tools of collocates and concordance. Collocates tool used to create a list of 200 collocates associated with the words: /lad3iʔ/ ‘refugee’, /lad3iʔi:n/ ‘refugees’, /su:ri:/ ‘Syrian’, and /su:ryi:n/ ‘Syrians’. These collocates were organized into two thematic categories: ‘services and resources’ and ‘Jordanians and Syrians’. The study used a concordance tool to unveil the attitudes of newspapers towards the Syrian refugee crisis. The findings of the study showed that Jordanians see Syrians as “brothers” and “guests”. However, Jordanian newspapers overstated the negative effect of Syrian refugees on the Jordanian economy, education, healthcare, etc. Jordanians were frustrated because Syrians compete with them on their resources and governmental services.

2020 ◽  
Vol 10 (5) ◽  
pp. 612
Author(s):  
Ula M. K. Al-Dabbagh ◽  
Hiba S. Amro

The influx of Syrian refugees to Jordan is considered one of the most serious social events that the country has witnessed in decades. The unprecedented flow of refugees that received extensive coverage by the Jordanian print media played an instrumental role in shaping the representation of both the event and the actors involved in the crisis. This paper departs from the premise that news reports are “elements of social events” and as such employ language to change, maintain or inculcate the knowledge, beliefs and social relations shared by members of a society. To this end, Critical Discourse Analysis (CDA) is adopted to investigate how Al-Ghad Newspaper uses language to represent and frame the Syrian refugee crisis and the Syrian refugees and considers whether this portrayal has contributed to the reconciliation or alienation of the Syrian refugees in the Jordanian society.


2018 ◽  
Vol 13 (1) ◽  
pp. 48-67 ◽  
Author(s):  
İbrahim Efe

This article, using methods from corpus linguistics and critical discourse analysis, reports the findings of a research project that aimed to explore the representations of Syrian asylum seekers in the Turkish press from March 2011, when the first Syrians arrived in Turkey, to December 2015, when the project ended. Using a corpus of 2321 texts collected from five Turkish daily newspapers, concordances of the words Syrian, refugee and asylum seeker were examined and grouped along patterns through which discourses on and around Syrian asylum seekers were uncovered. We found differing discourses that framed asylum seekers as ‘our brothers’, ‘victims’, ‘needy people’ and/or ‘threat’, ‘criminals’ and so on. Newspapers maintained one or a combination of these discourses to construct their own reality about the refugee crisis in Turkey. The analysis also reveals that Turkish newspapers use pertinent terms interchangeably, leading to an ambiguity which reflects the political as well as daily usage of the terms.


2018 ◽  
Vol 30 (1) ◽  
pp. 64-84 ◽  
Author(s):  
Fatemeh Tavassoli ◽  
Alireza Jalilifar ◽  
Peter RR White

This study investigates the representations of the Syrian refugee crisis in commentary articles published in two British newspapers with different political orientations, The Guardian and The Telegraph. The study draws on the appraisal model as a linguistic tool to analyse the attitudinal language of the articles indicative of the stances adopted by the newspapers. Such stances have the potential to position the readers to positively view the refugees and accept them into their homeland labelled as the welcoming stance, or otherwise reject them labelled as unwelcoming. The selected 20 articles belong to September 2015 and March 2016, the beginning and end of a 6-month period during which important policy changes were made by the leading countries in the wake of 2015 terrorist attacks. The findings indicate that the left-leaning The Guardian adopts a dominantly welcoming stance towards the Syrian refugees and consistently maintains this welcoming stance after 6 months of chaos across Europe. The right-leaning The Telegraph, however, shows a more unwelcoming stance and becomes even more unwelcoming after 6 months.


2018 ◽  
Vol 55 (1) ◽  
pp. 89-133 ◽  
Author(s):  
Ahmad S. Haider

Abstract Critical Discourse Analysis (CDA) investigates the relationship between language, power, and society. Corpus linguistics (CL) is the study of language based on examples of real life language use. Over the last two decades, various scholars have combined some approaches and notions of CDA with the analytical framework of CL to examine the representation of several phenomena in relatively large texts. This study follows a corpus-assisted (critical) discourse analysis approach to investigate a 2.5 million word corpus of Arabic news articles by Jordan’s News Agency (PETRA). It demonstrates how some researchers following this approach may make some decisions, at some stages of their analysis, which are likely to affect their findings. These potential decisions may include selecting what statistical measures to use, what threshold to consider, what terms from the frequency, cluster, and collocation results to further investigate, which concordance lines to include in their study, and some others. In this study, I argue that some of these decisions can be made to suit the researchers’ preconceived assumptions and pre-existing hypotheses. The study concludes that using corpus linguistic techniques to discursively analyze large data reduces but not completely removes researchers’ bias.


2015 ◽  
Vol 13 (4) ◽  
pp. 781-813 ◽  

In the article I model an alternative critical discourse analysis (CDA) pedagogy which is based on an ethical subjectivity instead of a political subjectivity. Aimed at undergraduates, it facilitates critical purchase on arguments which attack the standpoint of relatively powerless groups/organizations (who seek political change). Via corpus linguistic analysis of appropriate web-based data, I show how the analyst can rigorously find out at scale the recurrent key concerns of a relatively powerless Other with whom they were previously unfamiliar. They use this counter-discourse information as a lens on an argument which criticises the relatively powerless group, ascertaining whether or not the argument has distorted the group’s key concerns. Should this be the case, I highlight how the analyst can go on to explore whether any mischaracterisation has implications for the argument’s credibility because it loses coherence relative to the outlook of the Other. The approach is grounded in Jacques Derrida’s ‘ethics of hospitality to the Other’. It is in being hospitable to the outlook of a relatively powerless Other, and adopting it for purposes of argument evaluation, that the analyst effectively creates an ethical subjectivity. That said, the ethical and political are, in principle, relatable with this method as I indicate. Keywords: absences; argumentation; change.org; corpus linguistics; counter-discourse; critical discourse analysis; ethical subjectivity; Jacques Derrida; online comments; text cohesion.


2020 ◽  
Vol 11 (2) ◽  
pp. 292-315
Author(s):  
Cristina Mayor-Goicoechea ◽  
Jesús Romero-Trillo

Abstract The threat of the Islamic State is realised both in its attacks and its discourse. To illustrate the role of linguistic threats, the present study investigates the ISIS online propaganda magazine Dabiq by combining Critical Discourse Analysis and Corpus Linguistics (Romero-Trillo 2008; Baker et al. 2008). Following the two groups described by van Dijk (2003), which are represented by the in-group (ISIS) and the out-group (against ISIS), we propose a third element: the translocal group (i.e., the people in between). The results show the substantial presence of linguistic strategies enhanced by Dangerous Speech (Benesch 2013) to create a high segregation between the groups. Also, the analysis shows the inextricable relationship between conflict and dangerous language and the need to investigate this link further, with special reference to the polarisation of the groups and to the subsequent escalation of violence in discourse.


2019 ◽  
Vol 8 (2) ◽  
pp. 276-297
Author(s):  
Gregory Perreault ◽  
Newly Paul

This paper examines how religious news organizations in the UK covered the Syrian refugee crisis in Europe. Using narrative framing theory, this paper examines all coverage from 2015 and 2016 published in bbc Religion (a part of bbc News), The Muslim News, and Christian Today to examine shared and disparate narratives regarding Syrian refugees migrating to the UK. Four major frames emerged from our analysis of the media coverage in religious and mainstream publications: a humanizing frame, saviour frame, dehumanizing frame, and, redemption frame. The publications differed in their use of these frames as well as the use of sources, news values, and tone of coverage. We discuss each of these frames as well as the implications of the differing coverage.


2016 ◽  
Vol 6 (2) ◽  
pp. 92 ◽  
Author(s):  
Wei Li

<p>Critical Metaphor Analysis is concerned with integrating critical discourse analysis, corpus linguistics, pragmatics and cognitive linguistics to explore implicit speaker intentions and covert power relations through the analysis of metaphoric expressions. CMA has been a meaningful enrichment of both Critical Discourse Analysis and Conceptual Metaphor Theory. This paper aims to give an overview of the formation of CMA, the research findings, the existing problems and the possible solutions.</p>


Author(s):  
Ahlam Ahmed Mohamed Othman

Corpus-based critical discourse analysis studies have gained momentum in the last decade. Corpus Linguistics allowed critical discourse analysts to avoid bias in data selection and enlarge their samples for more representative findings. Critical Discourse Analysis, on the other hand, gave depth to corpus linguistic analysis by contextualizing it. The present study combines the two approaches to analyze the semantic prosody of Islamic keywords common to John Updike's Terrorist published in 2006 and Jonathan Wright’s translation The Televangelist published in 2016. The results of the corpus-based analysis show that while the semantic prosody of Islamic keywords is negative in Updike’s novel, it is highly positive in the translated novel. The conclusion is that Van Dijk’s proposition of the polarized representation of ‘us’ versus ‘them’ holds for Updike’s fundamentalist Islamic discourse which negatively represents Islam and Muslims. However, Van Dijk’s proposition holds only partially for Wright's tolerant Islamic discourse which positively represents Islam and Muslims without misrepresenting the other.


2021 ◽  
Vol 8 (1) ◽  
pp. 52-74
Author(s):  
Amy Burden

EN Gender equality in language learning has received considerable attention in research on classroom policy and materials. Within studies of materials like language learning texts, most research focuses on content analyses of character roles and images, with sometimes purposeful exclusion of non-human characters. However, non-humans in children’s picture books comprise almost 60% of the characters children read. Therefore, their representations of gender, including biases, overt sexism, and covert sexism should be examined. In this study, I examine gendering of non-human characters using corpus linguistics and critical discourse analysis. Additionally, I use critical image analysis to discuss pictorial gendering of non-human characters within 12 textbooks in two of the United States’ most widely used textbook series for language learning in elementary schools. Results indicate a strong preference for aggressive and adventurous male characters, male supremacist ideologies, and the suppression of female agency. Key words: CORPUS LINGUISTICS, CRITICAL DISCOURSE ANALYSIS, TEXTBOOK ANALYSIS, GENDER AND LANGUAGE, ENGLISH AS A SECOND LANGUAGE (ESL), CRITICAL IMAGE ANALYSIS ES La igualdad de género en el aprendizaje de idiomas ha recibido una atención considerable en la investigación sobre la política y los materiales en el aula. Dentro de los estudios sobre materiales como los textos para el aprendizaje de idiomas, la mayoría de las investigaciones se centran en el análisis del contenido de los roles y las imágenes de los personajes, con una exclusión de los personajes no humanos. Sin embargo, los personajes no humanos de los libros ilustrados para niños representan casi el 60% de los personajes que leen los niños. Por lo tanto, deben examinarse sus representaciones de género, incluyendo los prejuicios, el sexismo manifiesto y el sexismo encubierto. En este estudio, examino la representación de género de los personajes no humanos utilizando la lingüística de corpus y el análisis crítico del discurso. Además, utilizo el análisis crítico de la imagen para analizar el género pictórico de los personajes no humanos en 12 libros de texto de dos de las series de libros de texto más utilizados en Estados Unidos para el aprendizaje de idiomas en las escuelas primarias. Los resultados indican una fuerte preferencia por personajes masculinos agresivos y aventureros, ideologías de supremacía masculina y la supresión de la agencia femenina. Palabras clave: LINGÜÍSTICA DE CORPUS, ANÁLISIS CRÍTICO DEL DISCURSO, ANÁLISIS DE LIBROS DE TEXTO, GÉNERO E LINGUAJE, INGLÉS COMO SEGUNDA LENGUA (ESL), ANÁLISIS CRÍTICO DE LA IMAGEN IT L’uguaglianza di genere nell'apprendimento delle lingue ha ricevuto una notevole attenzione nella ricerca sulle norme di comportamento nelle classi così come nei materiali didattici. All'interno degli studi su materiali didattici come i testi per l'apprendimento delle lingue, la maggior parte della ricerca si concentra sull'analisi del contenuto dei ruoli e delle immagini dei personaggi con l'esclusione, a volte intenzionale, di personaggi non umani. Tuttavia, i non umani nei libri illustrati per bambini costituiscono quasi il 60% dei personaggi. Pertanto, dovrebbero essere esaminate le loro rappresentazioni di genere, inclusi pregiudizi, sessismo palese e sessismo nascosto. In questo studio si esamina la sessuazione di personaggi non umani usando la linguistica dei corpora e l’analisi critica del discorso. Inoltre, viene utilizzata l'analisi critica delle immagini per discutere la sessuazione di personaggi non umani all'interno di 12 libri in due delle serie di libri di testo più utilizzate negli Stati Uniti per l'apprendimento delle lingue nelle scuole elementari. I risultati indicano una forte preferenza per personaggi maschili aggressivi e avventurosi, ideologie suprematiste maschili e soppressione dell'agire femminile. Parole chiave: LINGUISTICA DEI CORPORA, ANALISI CRITICA DEL DISCORSO, ANALISI DEI LIBRI DI TESTO, GENERE E LINGUAGGIO, INGLESE COME SECONDA LINGUA, ANALISI CRITICA DELLE IMMAGINI


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