Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 393

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Talking Back: "Small" Interactional Response Tokens in Everyday Conversation

McCarthy, Michael·2003·Research on Language & Social Interaction

Abstract

Because many studies of small talk (and talk in general) focus on the input of main speakers, the verbal behavior of listeners is often underrepresented in descriptions of interaction. The notion of small talk as talk superfluous to transactional exigencies enables us to encompass a variety of phenomena, including phatic exchanges, relational language, and various types of insertion sequence. This article adds to this range of phenomena by examining a set of high-frequency short listener response tokens that fulfill the criteria of being superfluous to transactional needs, of being focused on the interpersonal plane of discourse, and of having social functions that seem to overlap with those of phatic and relational episodes in different types of talk. Probably because the items involved are themselves "small" (in that their position is often difficult to locate on the cline from back-channels to full turns), their relational importance is easily overlooked.

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 · 10.1207/s15327973rlsi3601_3

Cites

39 of 39 references verified0 citation errors · 0 not checkable

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

Cites

Show all 39 references

Cited by

See all 393

Metadata

Authors
McCarthy, M.
Venue
Research on Language & Social Interaction
Published
2003-01
Volume
36
Issue
1
Pages
33-63
ISSN
  • 0835-1813 (ISSN-L)
  • 1532-7973
OpenAlex
W1990792574
Cited by
393
References
39
FWCI
26.59
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: Talking Back: "Small" Interactional Response Tokens in Everyday Conversation. https://app.cochat.ai/papers/10.1207/s15327973rlsi3601_3
The paper
McCarthy, M. (2003). Talking Back: "Small" Interactional Response Tokens in Everyday Conversation. Research on Language & Social Interaction. https://doi.org/10.1207/s15327973rlsi3601_3

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.