---
title: "Workshop on Online Abuse and Harms 2021 — accepted papers"
description: "Workshop on Online Abuse and Harms 2021 — accepted papers: 2 papers in the Elamur Research library (Online), with our summaries…"
canonical: "https://research.elamur.ai/free/en/venues/woah/2021/"
---
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# Workshop on Online Abuse and Harms 2021 — accepted papers

Workshop on Online Abuse and Harms 2021 is the 2021 edition of the Workshop on Online Abuse and Harms, held in Online, August 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 24 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Online · 🗓 August 2021

[**24** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/woah/2021/#works) · [**505** citations of these works](https://md.research.elamur.ai/free/en/venues/woah/2021/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[HateBERT: Retraining BERT for Abusive Language Detection in English](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/)**Tommaso Caselli, Valerio Basile, Jelena Mitrović et al.*307 citations · our summary*
2. **[Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon ↗](https://aclanthology.org/2021.woah-1.11/)**Samira Zad, Joshuan Jimenez, Mark Finlayson*27 citations*
3. **[Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection ↗](https://aclanthology.org/2021.woah-1.21/)**Lambert Mathias, Shaoliang Nie, Aida Mostafazadeh Davani et al.*23 citations*
4. **[Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ↗](https://aclanthology.org/2021.woah-1.5/)**Ian Kivlichan, Zi Lin, Jeremiah Liu et al.*23 citations*
5. **[Racist or Sexist Meme? Classifying Memes beyond Hateful ↗](https://aclanthology.org/2021.woah-1.23/)**Haris Bin Zia, Ignacio Castro, Gareth Tyson*23 citations*
6. **[Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments ↗](https://aclanthology.org/2021.woah-1.13/)**Dmitrii Aksenov, Peter Bourgonje, Karolina Zaczynska et al.*22 citations*
7. **[Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset ↗](https://aclanthology.org/2021.woah-1.4/)**Hannah Kirk, Yennie Jun, Paulius Rauba et al.*22 citations*
8. **[Mitigating Biases in Toxic Language Detection through Invariant Rationalization ↗](https://aclanthology.org/2021.woah-1.12/)**Yung-Sung Chuang, Mingye Gao, Hongyin Luo et al.*19 citations*
9. **[DALC: the Dutch Abusive Language Corpus ↗](https://aclanthology.org/2021.woah-1.6/)**Tommaso Caselli, Arjan Schelhaas, Marieke Weultjes et al.*17 citations*
10. **[A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection](https://md.research.elamur.ai/free/en/papers/salawu-2021-large-scale-english-multi-label/)**Semiu Salawu, Jo Lumsden, Yulan He*16 citations · our summary*

## All accepted papers (24)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. **[HateBERT: Retraining BERT for Abusive Language Detection in English](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/)**Tommaso Caselli, Valerio Basile, Jelena Mitrović et al.*307 citations · our summary*
2. **[Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon ↗](https://aclanthology.org/2021.woah-1.11/)**Samira Zad, Joshuan Jimenez, Mark Finlayson*27 citations*
3. **[Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection ↗](https://aclanthology.org/2021.woah-1.21/)**Lambert Mathias, Shaoliang Nie, Aida Mostafazadeh Davani et al.*23 citations*
4. **[Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ↗](https://aclanthology.org/2021.woah-1.5/)**Ian Kivlichan, Zi Lin, Jeremiah Liu et al.*23 citations*
5. **[Racist or Sexist Meme? Classifying Memes beyond Hateful ↗](https://aclanthology.org/2021.woah-1.23/)**Haris Bin Zia, Ignacio Castro, Gareth Tyson*23 citations*
6. **[Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments ↗](https://aclanthology.org/2021.woah-1.13/)**Dmitrii Aksenov, Peter Bourgonje, Karolina Zaczynska et al.*22 citations*
7. **[Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset ↗](https://aclanthology.org/2021.woah-1.4/)**Hannah Kirk, Yennie Jun, Paulius Rauba et al.*22 citations*
8. **[Mitigating Biases in Toxic Language Detection through Invariant Rationalization ↗](https://aclanthology.org/2021.woah-1.12/)**Yung-Sung Chuang, Mingye Gao, Hongyin Luo et al.*19 citations*
9. **[DALC: the Dutch Abusive Language Corpus ↗](https://aclanthology.org/2021.woah-1.6/)**Tommaso Caselli, Arjan Schelhaas, Marieke Weultjes et al.*17 citations*
10. **[A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection](https://md.research.elamur.ai/free/en/papers/salawu-2021-large-scale-english-multi-label/)**Semiu Salawu, Jo Lumsden, Yulan He*16 citations · our summary*
11. **[Targets and Aspects in Social Media Hate Speech ↗](https://aclanthology.org/2021.woah-1.19/)**Alexander Shvets, Paula Fortuna, Juan Soler et al.*16 citations*
12. **[Context Sensitivity Estimation in Toxicity Detection ↗](https://aclanthology.org/2021.woah-1.15/)**Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos*15 citations*
13. **[Offensive Language Detection in Nepali Social Media ↗](https://aclanthology.org/2021.woah-1.7/)**Nobal B. Niraula, Saurab Dulal, Diwa Koirala*14 citations*
14. **[Fine-Grained Fairness Analysis of Abusive Language Detection Systems with CheckList ↗](https://aclanthology.org/2021.woah-1.9/)**Marta Marchiori Manerba, Sara Tonelli*11 citations*
15. **[Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format ↗](https://aclanthology.org/2021.woah-1.17/)**Julian Risch, Philipp Schmidt, Ralf Krestel*10 citations*
16. **[Abusive Language on Social Media Through the Legal Looking Glass ↗](https://aclanthology.org/2021.woah-1.20/)**Thales Bertaglia, Andreea Grigoriu, Michel Dumontier et al.*9 citations*
17. **[Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers ↗](https://aclanthology.org/2021.woah-1.1/)**Sumer Singh, Sheng Li*9 citations*
18. **[Improving Counterfactual Generation for Fair Hate Speech Detection ↗](https://aclanthology.org/2021.woah-1.10/)**Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy et al.*8 citations*
19. **[Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse ↗](https://aclanthology.org/2021.woah-1.14/)**Ravsimar Sodhi, Kartikey Pant, Radhika Mamidi*7 citations*
20. **[MIN_PT: An European Portuguese Lexicon for Minorities Related Terms ↗](https://aclanthology.org/2021.woah-1.8/)**Paula Fortuna, Vanessa Cortez, Miguel Sozinho Ramalho et al.*6 citations*
21. **[Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces ↗](https://aclanthology.org/2021.woah-1.2/)**Vanessa Hahn, Dana Ruiter, Thomas Kleinbauer et al.*6 citations*
22. **[VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes ↗](https://aclanthology.org/2021.woah-1.22/)**Piush Aggarwal, Michelle Espranita Liman, Darina Gold et al.*5 citations*
23. **[Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes ↗](https://aclanthology.org/2021.woah-1.24/)**Vasiliki Kougia, John Pavlopoulos*4 citations*
24. **[When the Echo Chamber Shatters: Examining the Use of Community-Specific Language Post-Subreddit Ban ↗](https://aclanthology.org/2021.woah-1.18/)**Milo Trujillo, Sam Rosenblatt, Guillermo de Anda Jáuregui et al.*2 citations*

## Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. **[HateBERT: Retraining BERT for Abusive Language Detection in English](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/) [Workshop on Online Abuse and Harms](https://md.research.elamur.ai/free/en/venues/woah/)**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2021 · 483 citations*
2. **[A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection](https://md.research.elamur.ai/free/en/papers/salawu-2021-large-scale-english-multi-label/) [Workshop on Online Abuse and Harms](https://md.research.elamur.ai/free/en/venues/woah/)**Semiu Salawu, Jo Lumsden, Yulan He*2021 · 22 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[English (2)](https://md.research.elamur.ai/free/en/topics/english/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Fields

[Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Jelena Mitrović**1 work here · 483 citations](https://md.research.elamur.ai/free/en/authors/jelena-mitrovic/) · [🧑‍🔬**Michael Granitzer**1 work here · 483 citations](https://md.research.elamur.ai/free/en/authors/michael-granitzer/) · [🧑‍🔬**Tommaso Caselli**1 work here · 483 citations](https://md.research.elamur.ai/free/en/authors/tommaso-caselli/) · [🧑‍🔬**Valerio Basile**1 work here · 483 citations](https://md.research.elamur.ai/free/en/authors/valerio-basile/) · [🧑‍🔬**Yulan He**1 work here · 22 citations](https://md.research.elamur.ai/free/en/authors/yulan-he/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Aston University** Birmingham · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/aston-university/) · [🎓**University of Groningen** Groningen · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-groningen/) · [🎓**University of Passau** Passau · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-passau/) · [🎓**University of Warwick** Coventry · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-warwick/) · [🎓**University of Turin** Turin · Italy 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-turin/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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