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The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression.
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Democratic co-learning
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Tawfik A. Mohamed, Neamat El Gayar, and Amir F. Atiya. 2007 · 2007
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Improving activity classification for health applications on mobile devices using active and semi-supervised learning
Brent Longstaff, Sasank Reddy, and Deborah Estrin. 2010 · 2010
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Learning from bullying traces in social media
Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, and Amy Bellmore. 2012 · 2012
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Improving cyberbullying detection with user context
Maral Dadvar, Dolf Trieschnigg, Roeland Ordelman, and Franciska de Jong. 2013 · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, G.s Corrado, Kai Chen, and Jeffrey Dean. 2013 · 2013
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Merging datasets for aggressive text identification
Paula Fortuna, José Ferreira, Luiz Pires, Guilherme Routar, and Sérgio Nunes. 2018 · 2018
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A survey on automatic detection of hate speech in text
Paula Fortuna and Sérgio Nunes. 2018 · 2018
Cited alongside, same era.
Learning word vectors for 157 languages
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, and Tomas Mikolov. 2018 · 2018
Cited alongside, same era.
Benchmarking aggression identification in social media
Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, and Marcos Zampieri. 2018 · 2018
Cited alongside, same era.
Scalable and timely detection of cyberbullying in online social networks
Rahat Ibn Rafiq, Homa Hosseinmardi, Richard Han, Qin Lv, and Shivakant Mishra. 2018 · 2018
Cited alongside, same era.
Overview of the GermEval 2018 shared task on the identification of offensive language
Michael Wiegand, Melanie Siegel, and Josef Ruppenhofer. 2018 · 2018
Cited alongside, same era.
SemEval-2019 task 5: Multilingual detection of hate speech against immigrants and women in Twitter
SemEval-2019 task 6: Identifying and categorizing offensive language in social media
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, and Ritesh Kumar. 2019b · 2019
Later among the works it cites.
A corpus of Turkish offensive language on social media
Çağrı Çöltekin. 2020 · 2020
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Evaluating aggression identification in social media
Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, and Marcos Zampieri. 2020 · 2020
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Offensive language identification in Greek
Zesis Pitenis, Marcos Zampieri, and Tharindu Ranasinghe. 2020 · 2020
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Multilingual offensive language identification with cross-lingual embeddings
Tharindu Ranasinghe and Marcos Zampieri. 2020 · 2020
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Detecting early signs of cyberbullying in social media
Niloofar Safi Samghabadi, Adrián Pastor López Monroy, and Thamar Solorio. 2020 · 2020
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Valerio Basile, Cristina Bosco, Elisabetta Fersini, Debora Nozza, Viviana Patti, Francisco Manuel Rangel Pardo, Paolo Rosso, and Manuela Sanguinetti. 2019 · 2019
Cited alongside, same era.
CONAN - COunter NArratives through nichesourcing: a multilingual dataset of responses to fight online hate speech
Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, and Marco Guerini. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Multiview learning for early prognosis of academic performance: A case study
Georgios Kostopoulos, Stamatis Karlos, and Sotiris Kotsiantis. 2019 · 2019
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Overview of the HASOC Track at FIRE 2019: Hate speech and offensive content identification in Indo-European languages
Thomas Mandl, Sandip Modha, Prasenjit Majumder, Daksh Patel, Mohana Dave, Chintak Mandlia, and Aditya Patel. 2019 · 2019
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Social data: Biases, methodological pitfalls, and ethical boundaries
Alexandra Olteanu, C. Castillo, Fernando D. Diaz, and E. Kiciman. 2019 · 2019
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Multilingual and multi-aspect hate speech analysis
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, and Dit-Yan Yeung. 2019 · 2019
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Offensive language and hate speech detection for Danish
Gudbjartur Ingi Sigurbergsson and Leon Derczynski. 2020 · 2020
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SemEval-2020 task 12: Multilingual offensive language identification in social media
Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, and Çağrı Çöltekin. 2020 · 2020
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HateXplain: A benchmark dataset for explainable hate speech detection
Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, and Animesh Mukherjee. 2021 · 2021
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Arabic offensive language on Twitter: Analysis and experiments
Hamdy Mubarak, Ammar Rashed, Kareem Darwish, Younes Samih, and Ahmed Abdelali. 2021 · 2021
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Detecting abusive language on online platforms: A critical analysis
Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, and Isabelle Augenstein. 2021 · 2021
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SemEval-2021 task 5: Toxic spans detection
John Pavlopoulos, Léo Laugier, Jeffrey Sorensen, and Ion Androutsopoulos. 2021 · 2021
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