Personal profile
Research and Innovation interests
Andrew Kehoe is Professor of Corpus Linguistics and REF Unit
of Assessment Lead for English (UoA27). He has qualifications
in both English and Computer Science, and has for over 20
years worked on a series of UKRI-funded projects in the field of
Corpus Linguistics: the automated analysis of patterns and
trends in large text collections to discover how language is used
by different groups in society. Andrew leads the Research &
Development Unit for English Studies (RDUES), an
interdisciplinary team developing software tools which are used
by hundreds of thousands of people worldwide to analyse textual
data in research, teaching and commercial contexts.
Andrew has a particular interest in the analysis of online data,
including news articles, blogs, social media and e-commerce.
The RDUES team developed the WebCorp search engine with
EPSRC and AHRC funding (2000-11) to allow users to extract
examples of language use from such online data. Andrew also
led the development of the eMargin collaborative text annotation
tool, funded by Jisc from 2011-13. eMargin was originally
designed for the close reading of literary texts but now has over
15,000 registered users across disciplines worldwide.
Education/Academic qualification
English Linguistics , PhD, Harnessing the web as a source of linguistic data , Birmingham City University
Award Date: 4 May 2016
Computer Science, 7.5: Masters Degree - Taught (UK Institution), University of Liverpool
Award Date: 1 Oct 1999
English Language & Literature , BA (Hons), University of Liverpool
Award Date: 1 Oct 1998
External positions
Peer Review College Member, Economic and Social Research Council (ESRC)
Treasurer / Executive Committee Member, University English
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Collaborations and top research areas from the last five years
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COVID-19 vaccine conspiracy theories, discourses of liberty, and “the new normal” on social media
McGlashan, M., Clarke, I., Gee, M., Grieshofer, T., Kehoe, A. & Lawson, R., 11 Mar 2025, In: Linguistics Vanguard.Research output: Contribution to journal › Article › peer-review
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There is amazing feedback and then there is just feedback: Exploring discussions of feedback in online corpora
Lutzky, U. & Kehoe, A., 2025, The Feedback Society. RoutledgeResearch output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Establishing a ‘new normal’: detecting fluctuating trends in word frequency over time
Gee, M., Kehoe, A. & Renouf, A., 17 Oct 2024, Crossing Boundaries through Corpora. Innovative corpus approaches within and beyond linguistics. Buschfeld, S., P. R., Neumaier, T., Weilinghoff, A. & Westermayer, L. (eds.). John Benjamins Publishing Company, p. 125-152 (Studies in Corpus Linguistics; vol. 119).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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From pre-owned printers to pristine Porsches: A corpus linguistic analysis of eBay item descriptions
Kehoe, A. (Corresponding / Lead Author), Gee, M. & Lutzky, U., 3 Sept 2024, In: International Journal of Corpus Linguistics.Research output: Contribution to journal › Article › peer-review
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“Sorry to hear you're going through a difficult time”: Investigating online discussions of consumer debt
Lawson, R., Lutzky, U., Kehoe, A. & Gee, M., 30 Apr 2023, In: Applied Corpus Linguistics. 3, 2, 100056.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (SciVal)
Impacts
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REF2021 UoA27_ICS_B Developing automated linguistic analysis and annotation tools to support collaborative learning, professional translation, policy making and HE management decisions
Kehoe, A. (Research Participant) & Gee, M. (Research Participant)
Impact: Other impacts