Cited by 119Hate Speech and Cyberbullying DetectionCybercrime and Law Enforcement StudiesTerrorism, Counterterrorism, and Political Violence

Corrigendum to: Hate in the Machine: Anti-Black and Anti-Muslim Social Media Posts as Predictors of Offline Racially and Religiously Aggravated Crime

Open access
Williams, Matthew L, Burnap, Pete, Javed, Amir, Liu, Han, Ozalp, Sefa·2020·The British Journal of Criminology

Abstract

Brit J Criminol doi:10.1093/bjc/azz049 The authors regret that summary statistics reported in the original published version were incorrect. All summary statistics, including figures 4–7, have been corrected in the online and print version of the paper.

Integrity signals

Registry

Crossref · 10.1093/bjc/azz064

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Authors
Williams, M. L., Burnap, P., Javed, A., Liu, H., & Ozalp, S.
Venue
The British Journal of Criminology
Published
2019-09-19
Volume
60
Issue
1
Pages
242-242
ISSN
  • 0007-0955 (ISSN-L)
  • 1464-3529
OpenAlex
W2973806433
Cited by
119
References
0
Citations by year
2026: 14 · 2025: 9 · 2024: 13 · 2023: 26 · 2022: 23 · 2021: 28 · 2020: 6
Type
journal article
Language
en
Open access
Locations
The British Journal of Criminology (publishedVersion, cc-by)
Funders
  • Economic and Social Research Council (ES/P010695/1)
  • U.S. Department of Justice (2016-MU-MU-0009)
  • National Institute of Justice
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
  • Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
  • Social Sciences › Sociology and Political Science › Terrorism, Counterterrorism, and Political Violence
Keywords
hate speech, anti-Black racism, anti-Muslim racism, social media posts

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