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Rebekah Tromble

Rebekah Tromble has 2 papers in our library, in 2019–2021; often with Bertie Vidgen, Dong Nguyen, Helen Margetts.

2 papers in our library · 2019–2021

OpenAlex · ORCID · Wikidata · h-index 19 · 77 works · 2,377 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 175 citations in our library · ⭐ Paper Star rank #3539

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

🎓George Washington UniversityWashington · United States2019–2026 · 30 paperscurrent🎓Northeastern UniversityBoston · United States2026 · 6 paperscurrent🎓Leiden UniversityLeiden · Netherlands2011–2019 · 13 papersEmployment 2011–2019🔬The Alan Turing InstituteLondon · United Kingdom2019–2021 · 4 papers
🏛️George Washington University School of Media and Public AffairsWashington, D.C. · United States2019Employment since 2019
🎓Indiana University BloomingtonBloomington · United States2012Education until 2012🎓DePauw UniversityGreencastle · United States2010–2011Employment 2010–2011🎓Knox CollegeGalesburg · United States2001Education until 2001

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 7 Computer Science · 2 works Artificial Intelligence · 2 works Social Sciences · 1 work Arts and Humanities · 1 work Language and Linguistics · 1 work Information Systems · 1 work Sociology and Political Science · 1 work

 Works by year

2020s

20211 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Challenges and frontiers in abusive content detection (2019 · 307 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. Introducing CAD: the Contextual Abuse Dataset (2021 · 147 citations)
    Automatic detection of online abuse is held back by training data that is small, coarse-grained, or labelled without regard to the surrounding discussion.

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 175 times (of the 141,840 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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