Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 617

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Perceptual and Phonetic Experiments on American English Dialect Identification

Purnell, Thomas, Idsardi, William, Baugh, John·1999·Journal of Language and Social Psychology

Abstract

The ability to discern the use of a nonstandard dialect is often enough information to also determine the speaker’s ethnicity, and speakers may consequently suffer discrimination based on their speech. This article, detailing four experiments, shows that housing discrimination based solely on telephone conversations occurs, dialect identification is possible using the word hello, and phonetic correlates of dialect can be discovered. In one experiment, a series of telephone surveys was conducted; housing was requested from the same landlord during a short time period using standard and nonstandard dialects. The results demonstrate that landlords discriminate against prospective tenants on the basis of the sound of their voice during telephone conversations. Another experiment was conducted with untrained participants to confirm this ability; listeners identified the dialects significantly better than chance. Phonetic analysis reveals that phonetic variables potentially distinguish the dialects.

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 · 10.1177/0261927x99018001002

Cites

1 of 1 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 1 references

Cited by

See all 617

Metadata

Authors
Purnell, T., Idsardi, W., & Baugh, J.
Venue
Journal of Language and Social Psychology
Published
1999-03
Volume
18
Issue
1
Pages
10-30
ISSN
  • 0261-927X (ISSN-L)
  • 1552-6526
OpenAlex
W2155980578
Cited by
617
References
1
FWCI
14.27
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: Perceptual and Phonetic Experiments on American English Dialect Identification. https://app.cochat.ai/papers/10.1177/0261927x99018001002
The paper
Purnell, T., Idsardi, W., & Baugh, J. (1999). Perceptual and Phonetic Experiments on American English Dialect Identification. Journal of Language and Social Psychology. https://doi.org/10.1177/0261927x99018001002

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.