--- title: "Dong Nguyen — author profile and papers" description: "Dong Nguyen, University of Applied Sciences Utrecht: 2 papers on Elamur Research (2019–2021), h-index 25 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/dong-nguyen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dong-nguyen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dong Nguyen # Dong Nguyen 2 papers on this site · 2019–2021 current affiliation [University of Applied Sciences Utrecht](https://ror.org/028z9kw20), Utrecht, Netherlands; [Utrecht University](https://ror.org/04pp8hn57), Utrecht, Netherlands Dong Nguyen has 2 papers on this site, in 2019–2021, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Bertie Vidgen](https://md.research.elamur.ai/free/en/authors/bertie-vidgen/), [Helen Margetts](https://md.research.elamur.ai/free/en/authors/helen-margetts/), [Janet Pierrehumbert](https://md.research.elamur.ai/free/en/authors/janet-pierrehumbert/). [OpenAlex](https://openalex.org/A5004209770) · [ORCID](https://orcid.org/0000-0002-6062-3117) · [**h-index 25**](https://openalex.org/authors/A5004209770) · [144 works](https://openalex.org/works?filter=author.id:A5004209770) · [2 991 citations](https://openalex.org/works?filter=author.id:A5004209770&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/dong-nguyen/#papers) · [486 citations in our library](https://md.research.elamur.ai/free/en/authors/dong-nguyen/cited-by/) · 10 more works in our library The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Dong+Nguyen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dong+Nguyen) · [dblp](https://dblp.org/search?q=Dong+Nguyen) · [ACL Anthology](https://aclanthology.org/search/?q=Dong+Nguyen) ## Affiliations - [Utrecht University](https://ror.org/04pp8hn57) · Utrecht, Netherlands —current · 2019–2026 on 46 papers - [University of Applied Sciences Utrecht](https://ror.org/028z9kw20) · Utrecht, Netherlands —current · 2026 on 1 paper - [University of Twente](https://ror.org/006hf6230) · Enschede, Netherlands —2009–2021 on 28 papers · education 2012–2016 (Wikidata) - [The Alan Turing Institute](https://ror.org/035dkdb55) · London, United Kingdom —2017–2021 on 13 papers · employment from 2017 (Wikidata) - [University of Edinburgh](https://ror.org/01nrxwf90) · Edinburgh, United Kingdom —2017–2020 on 6 papers · employment from 2017 (Wikidata) - [Carnegie Mellon University](https://ror.org/05x2bcf33) · Pittsburgh, United States —2009–2018 on 7 papers · education 2009–2011 (Wikidata) - [Meertens Institute](https://ror.org/05kaxyq51) · Amsterdam, Netherlands —2012–2015 on 4 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed. ## Topics [Sentiment & emotion 1](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Bias, fairness & safety 1](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Papers The most cited first (OpenAlex and our library). 1. **[Challenges and frontiers in abusive content detection](https://md.research.elamur.ai/free/en/papers/vidgen-2019-challenges-frontiers-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… 2. **[HateCheck: Functional Tests for Hate Speech Detection Models](https://md.research.elamur.ai/free/en/papers/rottger-2021-hatecheck-functional-tests-hate-speech/)** *(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 10 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Bertie Vidgen](https://md.research.elamur.ai/free/en/authors/bertie-vidgen/) ×2 - [Helen Margetts](https://md.research.elamur.ai/free/en/authors/helen-margetts/) ×2 - [Janet Pierrehumbert](https://md.research.elamur.ai/free/en/authors/janet-pierrehumbert/) - [Paul Röttger](https://md.research.elamur.ai/free/en/authors/paul-rottger/) - [Scott A. Hale](https://md.research.elamur.ai/free/en/authors/scott-a-hale/) - [Zeerak Waseem](https://md.research.elamur.ai/free/en/authors/zeerak-waseem/) ## Cited by Papers of our library cite their works 486 times (of the 140 884 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dong-nguyen/cited-by/).