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An Introduction to Discourse Analysis
Abstract
Discourse analysis considers how language, both spoken and written, enacts social and cultural perspectives and identities. Assuming no prior knowledge of linguistics, An Introduction to Discourse Analysis examines the field and presents James Paul Gee’s unique integrated approach which incorporates both a theory of language-in-use and a method of research. An Introduction to Discourse Analysis can be used as a stand-alone textbook or ideally used in conjunction with the practical companion title How to do Discourse Analysis: A Toolkit. Together they provide the complete resource for students studying discourse analysis. Updated throughout, the fourth edition of this seminal textbook also includes two new chapters: ‘What is Discourse?’ to further understanding of the topic, as well as a new concluding section. A new companion website www.routledge.com/cw/gee features a frequently asked questions section, additional tasks to support understanding, a glossary and free access to journal articles by James Paul Gee. Clearly structured and written in a highly accessible style, An Introduction to Discourse Analysis includes perspectives from a variety of approaches and disciplines, including applied linguistics, education, psychology, anthropology and communication to help students and scholars from a range of backgrounds to formulate their own views on discourse and engage in their own discourse analysis. This is an essential textbook for all advanced undergraduate and postgraduate students of discourse analysis.
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In the citing paper
“However, as Gee (2014) notes that, concerning discourse analysis, 'validity is never”
From I got all my sisters with me (on Black Twitter): second screening of How to Get Away with Murder as a discourse on Black Womanhood (2017) · cites this paper as Gee, 2014
Citations
Cited by
Sorted by citations
A Multilingual Perspective on Translanguaging
MacSwan, J. (2017) · American Educational Research Journal · doi:10.3102/0002831216683935 · Cited by 816
Discourses of artificial intelligence in higher education: a critical literature review
Bearman, M., Ryan, J., & Ajjawi, R. (2023) · Higher Education · doi:10.1007/s10734-022-00937-2 · Cited by 545
“We followed Gee (2010, 2014), as we elucidate below, to interpret textual references to AI with respect to their: situated meaning , social language , intertextuality , figured worlds and Conversations .”
BackgroundDiscourse and Identity Construction
Bamberg, M., Fina, A. D., & Schiffrin, D. (2011) · Springer eBooks · doi:10.1007/978-1-4419-7988-9_8 · Cited by 399
Developing a Transliteracies Framework for a Connected World
Stornaiuolo, A., Smith, A. H., & Phillips, N. C. (2016) · Journal of Literacy Research · doi:10.1177/1086296x16683419 · Cited by 247
The Cambridge Handbook of Discourse Studies
Jaworska, S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108348195 · Cited by 218
Metadata
- Authors
- Gee, J. P.
- Affiliations
- Arizona State University (US)
- Corresponding author
- Gee, James Paul
- ORCID
- Gee, James Paul
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2014-02-03
- OpenAlex
- W4233790810
- Cited by
- 1,036
- References
- 0
- Citations by year
- 2026: 105 · 2025: 111 · 2024: 112 · 2023: 103 · 2022: 74 · 2021: 105 · 2020: 104 · 2019: 62 · 2018: 88 · 2017: 53 · 2016: 39 · 2015: 16 · 2014: 5
- FWCI
- 130.78
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Linguistics and Language › Discourse Analysis in Language Studies
- Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
- Social Sciences › Education › Linguistics and Education Research
- Keywords
- discourse analysis, language use, James Paul Gee, sociocultural perspective, identity, discourse theory, language and culture
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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