Helen Margetts

Helen Margetts has 2 papers in our library, in 2019–2021, most of them on Sentiment & emotion, Bias, fairness & safety; often with Bertie Vidgen, Dong Nguyen, Janet Pierrehumbert.

2 papers in our library · 2019–2021

current affiliationUniversity of Oxford, Oxford, United Kingdom; London School of Economics and Political Science, London, United Kingdom

OpenAlex · ORCID · h-index 47 · 248 works · 9 299 citations OpenAlex, 2026-10-14

2 works in our library · 344 citations in our library · 1 more work in our library · ⭐ Paper Star rank #2935

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Affiliations

University of Oxford · Oxford, United Kingdom — current · 2005–2026 on 101 papers
London School of Economics and Political Science · London, United Kingdom — current · 1991–2026 on 17 papers
The Alan Turing Institute · London, United Kingdom — 2018–2025 on 35 papers
Turing Institute · Glasgow, United Kingdom — 2021–2025 on 2 papers
University College London · London, United Kingdom — 1999–2021 on 8 papers
King's College London · London, United Kingdom — 2021 on 2 papers
Birkbeck, University of London · London, United Kingdom — 1995–1999 on 7 papers
University of London · London, United Kingdom — 1997–1999 on 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 more institutions on single bylines are not listed.

Topics

Sentiment & emotion1 Bias, fairness & safety1

Works by year

2020s

20211 paper

2010s

20191 paper

Papers

The most cited first (OpenAlex and our library).

Challenges and frontiers in abusive content detection (2019 · 305 citations)
This position paper from The Alan Turing Institute examines automated detection of online abuse. Reported scores in this field have risen, but systems still struggle to generalize, run efficiently and meet real moderation needs. The authors do not propose a new model or dataset. Instead, they combine computational…
HateCheck: Functional Tests for Hate Speech Detection Models (2021 · 202 citations)
Hate speech classifiers are usually judged by aggregate scores such as accuracy or F1 on held-out splits of a few widely used datasets.

Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

Co-authors here

6 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 344 times (of the 140 884 papers whose bibliographies we read); 19 citing papers with a page here →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/helen-margetts/

🧑‍🔬 Helen Margetts