From big data to rich theory: Integrating critical discourse analysis with structural topic modeling

A growing interest in the study of discourses has spread in management research, but so far, it has mostly relied on in-depth qualitative analyses of textual material. With the increasing availability of large textual data, several challenges arise. This paper offers a mixed-methods approach to inte...

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Main Authors: Aranda, AM, Sele, K, Etchanchu, H, Guyt, JY, Vaara, E
Format: Journal article
Language:English
Published: European Academy of Management 2021
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author Aranda, AM
Sele, K
Etchanchu, H
Guyt, JY
Vaara, E
author_facet Aranda, AM
Sele, K
Etchanchu, H
Guyt, JY
Vaara, E
author_sort Aranda, AM
collection OXFORD
description A growing interest in the study of discourses has spread in management research, but so far, it has mostly relied on in-depth qualitative analyses of textual material. With the increasing availability of large textual data, several challenges arise. This paper offers a mixed-methods approach to integrate critical discourse analysis with structural topic modeling to turn these challenges into valuable opportunities. We argue that combining both approaches overcomes their limitations and provides great potential for exploring phenomena that matter in our mediatized society. Based on an explanatory sequential mixed-methods design, we develop a stepwise model that provides practical and theoretical guidance to conduct a critical analysis of large textual data. Our illustrative example focuses on the discursive legitimation struggles around the tobacco industry. We demonstrate how an integrated mixed-methods approach allows capturing the breadth and depth of discourses used by different actors in the tobacco debates.
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spelling oxford-uuid:b9948f08-5ecc-480d-ad07-ed372a7f08fa2022-03-27T05:03:54ZFrom big data to rich theory: Integrating critical discourse analysis with structural topic modelingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b9948f08-5ecc-480d-ad07-ed372a7f08faEnglishSymplectic ElementsEuropean Academy of Management2021Aranda, AMSele, KEtchanchu, HGuyt, JYVaara, EA growing interest in the study of discourses has spread in management research, but so far, it has mostly relied on in-depth qualitative analyses of textual material. With the increasing availability of large textual data, several challenges arise. This paper offers a mixed-methods approach to integrate critical discourse analysis with structural topic modeling to turn these challenges into valuable opportunities. We argue that combining both approaches overcomes their limitations and provides great potential for exploring phenomena that matter in our mediatized society. Based on an explanatory sequential mixed-methods design, we develop a stepwise model that provides practical and theoretical guidance to conduct a critical analysis of large textual data. Our illustrative example focuses on the discursive legitimation struggles around the tobacco industry. We demonstrate how an integrated mixed-methods approach allows capturing the breadth and depth of discourses used by different actors in the tobacco debates.
spellingShingle Aranda, AM
Sele, K
Etchanchu, H
Guyt, JY
Vaara, E
From big data to rich theory: Integrating critical discourse analysis with structural topic modeling
title From big data to rich theory: Integrating critical discourse analysis with structural topic modeling
title_full From big data to rich theory: Integrating critical discourse analysis with structural topic modeling
title_fullStr From big data to rich theory: Integrating critical discourse analysis with structural topic modeling
title_full_unstemmed From big data to rich theory: Integrating critical discourse analysis with structural topic modeling
title_short From big data to rich theory: Integrating critical discourse analysis with structural topic modeling
title_sort from big data to rich theory integrating critical discourse analysis with structural topic modeling
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