Text, Context, Pretext: Critical Issues in Discourse Analysis
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Default settings of ChatGPT were used to avoid analytical cherry-picking.
“it was decided that the default settings of ChatGPT would be used, as: (1) the goal of the study is to use ChatGPT as the average user would, following Brookes and McEnery (2019); and (2) in changing the temperature and nucleus sampling settings, for example, there is a risk that the analysis would be open to the charge of analytical 'cherry-picking' (Widdowson, 2004).”
From Generative AI for corpus approaches to discourse studies: A critical evaluation of ChatGPT (2024) · cites this paper as Widdowson, 2004
Modifying study parameters to suit anticipated findings could result in cherry-picking and methodological circularity.
“modifying study parameters to suit anticipated findings could result in cherry-picking (Widdowson 2004) and methodological circularity (Curry, 2021).”
From Generative AI for corpus approaches to discourse studies: A critical evaluation of ChatGPT (2024) · cites this paper as Widdowson 2004
Cites
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221 · see citing works
Austin, J. L. (1975) · doi:10.1093/acprof:oso/9780198245537.001.0001 · Cited by 21,496 · see citing works
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The utility of topic modelling for discourse studies: a critical evaluation
Brookes, G., & McEnery, T. (2019) · Discourse Studies · doi:10.1177/1461445618814032 · Cited by 175 · see citing works
Generative AI for corpus approaches to discourse studies: A critical evaluation of ChatGPT
Curry, N., Baker, P., & Brookes, G. (2024) · Applied Corpus Linguistics · doi:10.1016/j.acorp.2023.100082 · Cited by 102 · see citing works
“Ultimately, the problem of the 'black box' would remain and modifying study parameters to suit anticipated findings could result in cherry-picking (Widdowson 2004) and methodological circularity (Curry, 2021).”
BackgroundMethodRedefining Trial by Media: Towards a critical-forensic linguistic interface
Statham, S. (2016) · Discourse Approaches to Politics, Society and Culture · doi:10.1075/dapsac.67 · Cited by 37 · see citing works
Bartley, L. V. (2018) · International Journal of Applied Linguistics · doi:10.1111/ijal.12227 · Cited by 16 · see citing works
- Authors
- Widdowson, H. G.
- Corresponding author
- Widdowson, H. G.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2004-01
- OpenAlex
- W2475447708
- Cited by
- 526
- References
- 2
- Citations by year
- 2026: 15 · 2025: 18 · 2024: 34 · 2023: 21 · 2022: 27 · 2021: 28 · 2020: 87 · 2019: 21 · 2018: 24 · 2017: 22 · 2016: 75 · 2015: 30 · 2014: 12 · 2013: 17 · 2012: 15
- FWCI
- 41.54
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Literary Theory and Cultural Hermeneutics
- Social Sciences › Arts and Humanities › Philosophy › Linguistics and Discourse Analysis
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Narrative Theory and Analysis
- Keywords
- text, context, pretext
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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