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Cited by 386

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

The language of critical discourse analysis: the case of nominalization

Open access
Billig, Michael·2008·Discourse & Society

Abstract

This article examines the way that critical discourse is written. It does so by considering the concept of nominalization. Critical discourse analysts have suggested that nominalization (along with passivization) has important ideological functions such as deleting agency and reifying processes. However, the language used by critical analysts, as they explore nominalization, is revealing. They tend to use, and thereby instantiate, the very forms of language whose ideological potentiality they are warning against — such as deleting agency, using passives and turning processes into entities. The concept of 'nominalization' is itself a nominalization; it is typically used in imprecise ways that fail to specify underlying processes. If critical analysts take seriously their own ideological warnings about nominalization and passivization, they need to change the standard ways of writing critical analysis. We need to use simpler, less technical prose that clearly ascribes actions to human agents.

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Metadata

Authors
Billig, M.
Venue
Discourse & Society
Published
2008-11
Volume
19
Issue
6
Pages
783-800
ISSN
  • 0957-9265 (ISSN-L)
  • 1460-3624
OpenAlex
W1971131151
Cited by
386
References
27
FWCI
194.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The language of critical discourse analysis: the case of nominalization. https://app.cochat.ai/papers/10.1177/0957926508095894
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Billig, M. (2008). The language of critical discourse analysis: the case of nominalization. Discourse & Society. https://doi.org/10.1177/0957926508095894

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.