Capturing Herder: a three-step approach to the identification of language ideologies using corpus linguistics and critical discourse analysis

Corpora ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 63-95
Author(s):  
Adnan Ajšić

Recent lexical approaches to the identification of language ideologies focus on the application of quantitative corpus-linguistic techniques to large data sets as a way to minimise researcher inference and ensure more objective sampling methods, replicability of analytical procedures, and a higher degree of generalisability ( Fitzsimmons-Doolan, 2014 ; Subtirelu, 2015 ; Vessey, 2017 ; Wright and Brooks, 2019 ; and McEntee-Atalianis and Vessey, 2020 ). Based on two comprehensive, specialised research (11.6 million words) and comparator (22.4 million words) newspaper corpora, this study offers an examination of the effectiveness of the multivariate and univariate statistical techniques, and proposes a three-step approach whereby corpus linguistics and critical discourse analysis are combined to identify ( 1) thematic and ( 2) ideological discourses (cf. ‘d’/’D’ discourses; Gee, 2010 ), and ( 3) language ideologies. In contrast to recent contributions, it is argued that item frequency is not necessarily a reliable or effective indicator of language ideologies but, rather, of language-related discourses which can be examined for implicit and explicit language-ideological content. A combination of multivariate and univariate statistical techniques, and the three-step approach are shown to be a highly effective methodological solution for synchronic and diachronic language ideology and discourse research based on topically/discursively heterogeneous corpora.

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.


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.


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.


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


2020 ◽  
Vol 8 (2) ◽  
pp. 188-231
Author(s):  
Ioannis E. Saridakis ◽  
Effie Mouka

Abstract This paper reports on a large-scale study on how “enemies” are linguistically constructed by Greece’s radical right. The research combines corpus linguistics approaches and insights from critical discourse analysis, with the aim of analysing the referential/nomination and predication strategies used to delineate “others” as outgroups. Drawing on a 90 million-word corpus comprising the full set of texts from 13 radical right web-based platforms from 2001 to 2019, the research identifies and statistically classifies principal designators and qualifiers. By closely examining their diachronic variations and correlation with significant sociopolitical events, we critically categorise and discuss the empirical findings and thus unveil topics, as well as aspects of the argumentation, pooled by Greece’s radical right in their discursive constructions.


2018 ◽  
Vol 29 (6) ◽  
pp. 629-654 ◽  
Author(s):  
Sin Yan Eureka Ho ◽  
Peter Crosthwaite

While much work has been done on the textual analysis of political discourses in Western countries, relatively little has focused on electoral manifestos in the East. Manifestos are open extensive declarations of individual ideologies for campaigns, comprising small texts in terms of word count but with massive implications for voters’ perception of the candidates’ political leanings. Focusing on the manifestos produced by the three candidates for the Hong Kong Chief Executive Election 2017, this article compares the linguistic features of the written political evaluative stances of the candidates. Combining critical discourse analysis using the APPRAISAL model, with analyses traditionally associated with corpus linguistics including log-likelihood keyword analysis and statistically driven visualisations, we find clear differences between the candidates in terms of the allocation of evaluative resources in their manifestos, representative of the perceived evaluative stance of candidate. Our findings justify the use of corpus linguistic techniques as a complement to critical discourse analysis, even in data with small word counts (<5000), in situations where nuanced, micro-managed selection of language resources is crucial to the perception of stance in very high-stakes contexts.


Author(s):  
Célia Maria Magalhães

In this paper I set out from Brazilian social theories on race to analyse a contemporary corpus of news reports in a Brazilian broadsheet newspaper. The aim is investigating change in mediated discourses on race. Based on Critical Discourse Analysis (CDA) and with the help of corpus linguistics methodological tools I focus on lexical items used to categorise race, the semantic relations created and their association with discourse representation in the newspaper. The combined analysis of semantic relations and interdiscursivity has allowed for the perception of tensions over the use of terms from different semantic fields to categorize race and of conflicting discourses of race classification in the paper. The analysis has also allowed for a cautious interpretation of dialogicality and of different orientations to racial difference, following the social research inventories in Fairclough (2003) in the reports.


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