Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 559

The DOI matches its Crossref record.

Interaction in academic writing: learning to argue with the reader

Thompson, G·2001·Applied Linguistics

Abstract

The view of written texts as embodying interaction between the writer and reader is not well established, and underlies many aspects that may be focused on in the training of novice writers of academic text. In this paper, I argue that interaction can draw on both interactive and interactional resources: interactive resources help to guide the reader through the text, while interactional resources involve the reader collaboratively in the development of the text. I use the concept of the 'reader-in-the-text' (Thompson and Thetela 1995) to explore a central form of interactional resource: the inclusion in the text of a voice that is intended to be attributable to the reader. I identify a particular set of discourse contexts in which this happens - where the writer brings in the reader's view in order to contradict it - and outline the lexico-grammatical features which signal the other voice in those contexts; and I place these in a broader perspective on written text as a stage-managed form of dialogue. The impetus for the study comes from working with novice writers; and I discuss a number of examples where written drafts were improved by exploiting the interactional resources described, and argue for the value of raising students' awareness of these resources.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/applin/22.1.58

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 559

Metadata

Authors
Thompson, G.
Venue
Applied Linguistics
Published
2001-03-01
Volume
22
Issue
1
Pages
58-78
ISSN
  • 0142-6001 (ISSN-L)
  • 1477-450X
OpenAlex
W2049941473
Cited by
559
References
0
FWCI
95.63
Type
journal article
Language
en
Open access
closed

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Interaction in academic writing: learning to argue with the reader. https://app.cochat.ai/papers/10.1093/applin/22.1.58
The paper
Thompson, G. (2001). Interaction in academic writing: learning to argue with the reader. Applied Linguistics. https://doi.org/10.1093/applin/22.1.58

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.