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Offensive language such as hate, abuse, and profanity (HAP) occurs in various content on the web.
Deep learning models for multilingual hate speech detection
Sai Saket Aluru, Binny Mathew, Punyajoy Saha, and Animesh Mukherjee. 2020 · 2004
Earlier work this paper cites.
Measuring the reliability of hate speech annotations: The case of the european refugee crisis
Björn Roß, Michael Rist, Guillermo Carbonell, Benjamin Cabrera, Nils Kurowsky, and Michael Wojatzki. 2016 · 2016
Earlier work this paper cites.
Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
Earlier work this paper cites.
Hate Speech Dataset from a White Supremacy Forum
Ona de Gibert, Naiara Perez, Aitor García-Pablos, and Montse Cuadros. 2018 · 2018
Earlier work this paper cites.
Large scale crowdsourcing and characterization of twitter abusive behavior
Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, and Nicolas Kourtellis. 2018 · 2018
Earlier work this paper cites.
Overview of the germeval 2018 shared task on the identification of offensive language
Michael Wiegand, Melanie Siegel, and Josef Ruppenhofer. 2018 · 2018
Earlier work this paper cites.
SemEval-2019 task 5: Multilingual detection of hate speech against immigrants and women in Twitter
Valerio Basile, Cristina Bosco, Elisabetta Fersini, Debora Nozza, Viviana Patti, Francisco Manuel Rangel Pardo, Paolo Rosso, and Manuela Sanguinetti. 2019 · 2019
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Jigsaw unintended bias in toxicity classification data
Jigsaw. 2019 · 2019
Earlier work this paper cites.
Multilingual and multi-aspect hate speech analysis
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, and Dit-Yan Yeung. 2019 · 2019
Cited alongside, same era.
Detecting and monitoring hate speech in twitter
Juan Carlos Pereira-Kohatsu, Lara Quijano-Sánchez, Federico Liberatore, and Miguel Camacho-Collados. 2019 · 2019
Cited alongside, same era.
SemEval-2019 task 6: Identifying and categorizing offensive language in social media (OffensEval)
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, and Ritesh Kumar. 2019b · 2019
Cited alongside, same era.
I feel offended, don’t be abusive! implicit/explicit messages in offensive and abusive language
Tommaso Caselli, Valerio Basile, Jelena Mitrović, Inga Kartoziya, and Michael Granitzer. 2020 · 2020
Cited alongside, same era.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
MUDES: Multilingual detection of offensive spans
Tharindu Ranasinghe and Marcos Zampieri. 2021 · 2021
Later among the works it cites.
SOLID: A large-scale semi-supervised dataset for offensive language identification
Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, and Preslav Nakov. 2021 · 2021
Later among the works it cites.
HateCheck: Functional tests for hate speech detection models
Paul Röttger, Bertie Vidgen, Dong Nguyen, Zeerak Waseem, Helen Margetts, and Janet Pierrehumbert. 2021 · 2021
Later among the works it cites.
Minilmv2: Multi-head self-attention relation distillation for compressing pretrained transformers
Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, and Furu Wei. 2021 · 2021
Later among the works it cites.
Recast: Enabling user recourse and interpretability of toxicity detection models with interactive visualization
Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, and Diyi Yang. 2021 · 2021
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spacy: Industrial-strength natural language processing in python
Matthew Honnibal, Ines Montani, Sofie Van Landeghem, and Adriane Boyd. 2020 · 2020
Cited alongside, same era.
João A. Leite, Diego F. Silva, Kalina Bontcheva, and Carolina Scarton. 2020 · 2020
Cited alongside, same era.
HateBERT: Retraining BERT for abusive language detection in English
Tommaso Caselli, Valerio Basile, Jelena Mitrović, and Michael Granitzer. 2021 · 2021
Cited alongside, same era.
SemEval-2021 task 5: Toxic spans detection
John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, and Ion Androutsopoulos. 2021 · 2021
Cited alongside, same era.
Predicting the type and target of offensive posts in social media
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, and Ritesh Kumar. 2019a
Cited in the paper.
Later among the works it cites.
An interactive exploratory tool for the task of hate speech detection
Angelina McMillan-Major, Amandalynne Paullada, and Yacine Jernite. 2022 · 2022
Later among the works it cites.
A systematic review of hate speech automatic detection using natural language processing
Md Saroar Jahan and Mourad Oussalah. 2023 · 2023
Closest in time.
Target-based offensive language identification
Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal, Sara Rosenthal, and Preslav Nakov. 2023 · 2023
Closest in time.