Fetching the paper…
Reading the bibliography…
The growing prevalence and rapid evolution of offensive language in social media amplify the complexities of detection, particularly highlighting the challenges in identifying such content across diverse languages.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
Machine Learning and Affect Analysis against Cyber-Bullying. In Proc. of the Linguistic and Cognitive Approaches to Dialog Agents Symposium
Michal Ptaszynski1 Pawel Dybala, Tatsuaki Matsuba2 Fumito Masui, Rafal Rzepka, and Kenji Araki. 2010 · 2010
Earlier work this paper cites.
A Survey on Transfer Learning
Sinno Jialin Pan and Qiang Yang. 2010 · 2010
Earlier work this paper cites.
WALS Online (v2020.3)
Matthew S. Dryer and Martin Haspelmath (Eds.). 2013 · 2013
Earlier work this paper cites.
Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks. In ICML Workshop on challenges in representation learning , Vol. 3. Atlanta, 896
Dong-Hyun Lee et al · 2013
Earlier work this paper cites.
Siamese neural networks for one-shot image recognition. In ICML deep learning workshop , Vol. 2. Lille
Gregory Koch, Richard Zemel, Ruslan Salakhutdinov, et al · 2015
Earlier work this paper cites.
Automatic detection and prevention of cyberbullying. In Proc. of HUSO . IARIA, 13–18
Cynthia Van Hee, Els Lefever, Ben Verhoeven, Julie Mennes, Bart Desmet, Guy De Pauw, Walter Daelemans, and Véronique Hoste. 2015 · 2015
Earlier work this paper cites.
Transfer learning for speech and language processing. In Proc. of APSIPA . IEEE, 1225–1237
Dong Wang and Thomas Fang Zheng. 2015 · 2015
Earlier work this paper cites.
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier. In Proc. of NAACL: Demonstrations . ACL, San Diego, California, 97–101
Marco Ribeiro, Sameer Singh, and Carlos Guestrin. 2016 · 2016
Earlier work this paper cites.
Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter. In Proc. of NAACL SRW . ACL, San Diego, California, 88–93
Zeerak Waseem and Dirk Hovy. 2016 · 2016
Earlier work this paper cites.
Hate speech detection in the Indonesian language: A dataset and preliminary study. In Proc. of ICACSIS . 233–238
Ika Alfina, Rio Mulia, Mohamad Ivan Fanany, and Yudo Ekanata. 2017 · 2017
Earlier work this paper cites.
Detecting offensive statements towards foreigners in social media
Uwe Bretschneider and Ralf Peters. 2017 · 2017
Earlier work this paper cites.
Automated Hate Speech Detection and the Problem of Offensive Language. In Proc. of ICWSM (Montreal, Canada). 512–515
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
Earlier work this paper cites.
Offensive Comments in the Brazilian Web: a dataset and baseline results. In Anais do VI Brazilian Workshop on Social Network Analysis and Mining (São Paulo). SBC, Porto Alegre, RS, Brasil
Rogers de Pelle and Viviane Moreira. 2017 · 2017
Earlier work this paper cites.
Exploring linguistic features for extremist texts detection (on the material of Russian-speaking illegal texts). In Proc. of IEEE ISI . 188–190
Dmitry Devyatkin, Ivan Smirnov, Margarita Ananyeva, Maria Kobozeva, Andrey Chepovskiy, and Fyodor Solovyev. 2017 · 2017
Earlier work this paper cites.
Model-agnostic meta-learning for fast adaptation of deep networks. In Proc. of ICML . PMLR, 1126–1135
Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017 · 2017
Earlier work this paper cites.
Automatic detection of hate speech in text: an overview of the topic and dataset annotation with hierarchical classes
Paula Fortuna. 2017 · 2017
Earlier work this paper cites.
Detecting online hate speech using context aware models
Lei Gao and Ruihong Huang. 2017 · 2017
Earlier work this paper cites.
A Large Labeled Corpus for Online Harassment Research. In Proc. of ACM WebSci (Troy, New York, USA). ACM, New York, NY, USA, 229–233
Jennifer Golbeck, Zahra Ashktorab, Rashad O. Banjo, Alexandra Berlinger, Siddharth Bhagwan, Cody Buntain, Paul Cheakalos, Alicia A. Geller, Quint Gergory, Rajesh Kumar Gnanasekaran, Raja Rajan Gunasekaran, Kelly M. Hoffman, Jenny Hottle, Vichita Jienjitlert, Shivika Khare, Ryan Lau, Marianna J. Martindale, Shalmali Naik, Heather L. Nixon, Piyush Ramachandran, Kristine M. Rogers, Lisa Rogers, Meghna Sardana Sarin, Gaurav Shahane, Jayanee Thanki, Priyanka Vengataraman, Zijian Wan, and Derek Michael Wu. 2017 · 2017
Earlier work this paper cites.
A Unified Approach to Interpreting Model Predictions
Scott M Lundberg and Su-In Lee. 2017 · 2017
Earlier work this paper cites.
Abusive Language Detection on Arabic Social Media. In Proc. of the ALW Workshop . ACL, Vancouver, BC, Canada, 52–56
Hamdy Mubarak, Kareem Darwish, and Walid Magdy. 2017 · 2017
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. 2017 · 2017
Earlier work this paper cites.
A survey on hate speech detection using natural language processing. In Proc. of the SocialNLP Workshop . 1–10
Anna Schmidt and Michael Wiegand. 2017 · 2017
Earlier work this paper cites.
Offline bilingual word vectors, orthogonal transformations and the inverted softmax. In Proc. of ICLR
Samuel L. Smith, David H. P. Turban, Steven Hamblin, and Nils Y. Hammerla. 2017 · 2017
Earlier work this paper cites.
Ex machina: Personal attacks seen at scale. In Proc. of WWW . 1391–1399
Ellery Wulczyn, Nithum Thain, and Lucas Dixon. 2017 · 2017
Earlier work this paper cites.
Dataset construction for the detection of anti-social behaviour in online communication in Arabic
Azalden Alakrot, Liam Murray, and Nikola S Nikolov. 2018 · 2018
Earlier work this paper cites.
A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection. In Proc. of PEOPLES Workshop . ACL, New Orleans, Louisiana, USA, 36–41
Aditya Bohra, Deepanshu Vijay, Vinay Singh, Syed Sarfaraz Akhtar, and Manish Shrivastava. 2018 · 2018
Earlier work this paper cites.
Overview of the evalita 2018 hate speech detection task. In Proc. of CEUR Workshop , Vol. 2263. CEUR, 1–9
Cristina Bosco, Dell’Orletta Felice, Fabio Poletto, Manuela Sanguinetti, Tesconi Maurizio, et al · 2018
Earlier work this paper cites.
Hate Speech Dataset from a White Supremacy Forum. In Proc. of the ALW Workshop . ACL, Brussels, Belgium, 11–20
Ona de Gibert, Naiara Perez, Aitor García-Pablos, and Montse Cuadros. 2018 · 2018
Earlier work this paper cites.
Peer to peer hate: Hate speech instigators and their targets. In Proc. of ICWSM , Vol. 12
Mai ElSherief, Shirin Nilizadeh, Dana Nguyen, Giovanni Vigna, and Elizabeth Belding. 2018 · 2018
Earlier work this paper cites.
Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI). In EVALITA@CLiC-it
Elisabetta Fersini, Debora Nozza, and Paolo Rosso. 2018a · 2018
Earlier work this paper cites.
Overview of the Task on Automatic Misogyny Identification at IberEval 2018. In IberEval@SEPLN
Elisabetta Fersini, Paolo Rosso, and Mary E. Anzovino. 2018b · 2018
Earlier work this paper cites.
A Survey on Automatic Detection of Hate Speech in Text
Paula Fortuna and Sérgio Nunes. 2018 · 2018
Earlier work this paper cites.
Large scale crowdsourcing and characterization of twitter abusive behavior. In Proc. of ICWSM , Vol. 12
Antigoni 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.
Learning Word Vectors for 157 Languages. In Proc. of LREC
Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, and Tomas Mikolov. 2018 · 2018
Earlier work this paper cites.
Aggression-annotated Corpus of Hindi-English Code-mixed Data. In Proc. of LREC . ELRA, Miyazaki, Japan
Ritesh Kumar, Aishwarya N. Reganti, Akshit Bhatia, and Tushar Maheshwari. 2018 · 2018
Earlier work this paper cites.
Deep Contextualized Word Representations. In Proc. of NAACL-HLT . ACL, New Orleans, Louisiana, 2227–2237
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Earlier work this paper cites.
Michał Ptaszyński, Gniewosz Leliwa, Mateusz Piech, and Aleksander Smywiński-Pohl. 2018 · 2018
Earlier work this paper cites.
An Italian Twitter Corpus of Hate Speech against Immigrants. In Proc. of LREC . ELRA, Miyazaki, Japan
Manuela Sanguinetti, Fabio Poletto, Cristina Bosco, Viviana Patti, and Marco Stranisci. 2018 · 2018
Earlier work this paper cites.
A corpus of english-hindi code-mixed tweets for sarcasm detection
Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, and Manish Shrivastava. 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.
Detection of hate speech in social networks: a survey on multilingual corpus. In Proc. of COMIT , Vol. 10. 10–5121
Areej Al-Hassan and Hmood Al-Dossari. 2019 · 2019
Earlier work this paper cites.
Hate Speech Detection is Not as Easy as You May Think: A Closer Look at Model Validation. In Proc. of ACM SIGIR (Paris, France). ACM, New York, NY, USA, 45–54
Aymé Arango, Jorge Pérez, and Barbara Poblete. 2019 · 2019
Earlier work this paper cites.
Study on change of detection accuracy over time in cyberbullying detection
Masaki Arata. 2019 · 2019
Earlier work this paper cites.
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Mikel Artetxe and Holger Schwenk. 2019 · 2019
Earlier work this paper cites.
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter. In Proc. of the SemEval Workshop . ACL, Minneapolis, Minnesota, USA, 54–63
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.
Multilingual and Multitarget Hate Speech Detection in Tweets. In Proc. of TALN-RECITAL . ATALA, Toulouse, France, 351–360
Patricia Chiril, Farah Benamara Zitoune, Véronique Moriceau, Marlène Coulomb-Gully, and Abhishek Kumar. 2019 · 2019
Earlier work this paper cites.
CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech. In Proc. of ACL . ACL, Florence, Italy, 2819–2829
Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, and Marco Guerini. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proc. of NAACL-HLT . ACL, Minneapolis, Minnesota, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
A Hierarchically-Labeled Portuguese Hate Speech Dataset. In Proc. of the ALW Workshop . ACL, Florence, Italy, 94–104
Paula Fortuna, João Rocha da Silva, Juan Soler-Company, Leo Wanner, and Sérgio Nunes. 2019 · 2019
Earlier work this paper cites.
Translated vs non-translated method for multilingual hate speech identification in Twitter
Muhammad Okky Ibrohim and Indra Budi. 2019a · 2019
Earlier work this paper cites.
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
Raghav Kapoor, Yaman Kumar, Kshitij Rajput, Rajiv Ratn Shah, Ponnurangam Kumaraguru, and Roger Zimmermann. 2019 · 2019
Earlier work this paper cites.
The FRENK datasets of socially unacceptable discourse in Slovene and English. In Proc. of TSD . Springer, 103–114
Nikola Ljubešić, Darja Fišer, and Tomaž Erjavec. 2019 · 2019
Earlier work this paper cites.
Overview of the HASOC Track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages. In Proc. of FIRE (Kolkata, India). ACM, New York, NY, USA, 14–17
Thomas Mandl, Sandip Modha, Prasenjit Majumder, Daksh Patel, Mohana Dave, Chintak Mandlia, and Aditya Patel. 2019 · 2019
Earlier work this paper cites.
Tackling online abuse: A survey of automated abuse detection methods
Pushkar Mishra, Helen Yannakoudakis, and Ekaterina Shutova. 2019 · 2019
Earlier work this paper cites.
L-hsab: A levantine twitter dataset for hate speech and abusive language. In Proc. of the ALW Workshop . 111–118
Hala Mulki, Hatem Haddad, Chedi Bechikh Ali, and Halima Alshabani. 2019 · 2019
Earlier work this paper cites.
Multilingual and Multi-Aspect Hate Speech Analysis. In Proc. of EMNLP-IJCNLP . ACL, Hong Kong, China, 4675–4684
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, and Dit-Yan Yeung. 2019 · 2019
Earlier work this paper cites.
Cross-domain and Cross-lingual Abusive Language Detection: A Hybrid Approach with Deep Learning and a Multilingual Lexicon. In Proc. of ACL SRW . ACL, Florence, Italy, 363–370
Endang Wahyu Pamungkas and Viviana Patti. 2019 · 2019
Earlier work this paper cites.
Detecting and Monitoring Hate Speech in Twitter
Juan Carlos Pereira-Kohatsu, Lara Quijano-Sánchez, Federico Liberatore, and Miguel Camacho-Collados. 2019 · 2019
Earlier work this paper cites.
Results of the poleval 2019 shared task 6: First dataset and open shared task for automatic cyberbullying detection in polish twitter
Michal Ptaszynski, Agata Pieciukiewicz, and Paweł Dybała. 2019 · 2019
Earlier work this paper cites.
MC-BERT4HATE: Hate Speech Detection using Multi-channel BERT for Different Languages and Translations. In 2019 International Conference on Data Mining Workshops (ICDMW) . 551–559
Hajung Sohn and Hyunju Lee. 2019 · 2019
Earlier work this paper cites.
Overview of GermEval Task 2, 2019 shared task on the identification of offensive language. In Proc. of KONVENS . München [u.a.], 352 – 363
Julia Maria Strus̈, Melanie Siegel, Josef Ruppenhofer, Michael Wiegand, and Manfred Klenner. 2019 · 2019
Earlier work this paper cites.
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval). In Proc. of the SemEval Workshop , Jonathan May, Ekaterina Shutova, Aurelie Herbelot, Xiaodan Zhu, Marianna Apidianaki, and Saif M. Mohammad (Eds.). ACL, Minneapolis, Minnesota, USA, 75–86
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, and Ritesh Kumar. 2019 · 2019
Earlier work this paper cites.
Automatic detection of offensive language for urdu and roman urdu
Muhammad Pervez Akhter, Zheng Jiangbin, Irfan Raza Naqvi, Mohammed Abdelmajeed, and Muhammad Tariq Sadiq. 2020 · 2020
Earlier work this paper cites.
Deep learning models for multilingual hate speech detection
Sai Saketh Aluru, Binny Mathew, Punyajoy Saha, and Animesh Mukherjee. 2020 · 2020
Cited alongside, same era.
Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions
Femi Emmanuel Ayo, Olusegun Folorunso, Friday Thomas Ibharalu, and Idowu Ademola Osinuga. 2020 · 2020
Cited alongside, same era.
Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection. In Proc. of ACL . ACL, Online, 1018–1023
Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, and Animesh Mukherjee. 2020 · 2020
Cited alongside, same era.
Developing a multilingual annotated corpus of misogyny and aggression
Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, and Atul Kr Ojha. 2020 · 2020
Cited alongside, same era.
A Study of Multilingual Toxic Text Detection Approaches under Imbalanced Sample Distribution
Guizhe Song, Degen Huang, and Zhifeng Xiao. 2021 · 2021
Later among the works it cites.
Cross-lingual Hate Speech Detection using Transformer Models
Teodor Tiţa and Arkaitz Zubiaga. 2021 · 2021
Later among the works it cites.
Online Multilingual Hate Speech Detection: Experimenting with Hindi and English Social Media
Neeraj Vashistha and Arkaitz Zubiaga. 2021 · 2021
Later among the works it cites.
Efficient Detection of Multilingual Hate Speech by Using Interactive Attention Network with Minimal Human Feedback. In Proc. of ACM WebSci (Virtual Event, United Kingdom). ACM, New York, NY, USA, 130–138
Fedor Vitiugin, Yasas Senarath, and Hemant Purohit. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Towards countering hate speech against journalists on social media
Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, Ioannis Papastergiou, and Sophia Karakeva. 2020 · 2020
Cited alongside, same era.
A corpus of Turkish offensive language on social media. In Proc. of LREC . 6174–6184
Çağrı Çöltekin. 2020 · 2020
Cited alongside, same era.
Unsupervised Cross-lingual Representation Learning at Scale. In Proc. of ACL . ACL, Online, 8440–8451
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.
Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection. In Findings of EMNLP . ACL, Online, 943–949
Michele Corazza, Stefano Menini, Elena Cabrio, Sara Tonelli, and Serena Villata. 2020 · 2020
Cited alongside, same era.
Hate Speech Detection on Multilingual Twitter Using Convolutional Neural Networks
Aya Elouali, Zakaria Elberrichi, and Nadia Elouali. 2020 · 2020
Cited alongside, same era.
Time of your hate: The challenge of time in hate speech detection on social media
Komal Florio, Valerio Basile, Marco Polignano, Pierpaolo Basile, and Viviana Patti. 2020 · 2020
Cited alongside, same era.
XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages. In Proc. of COLING . ICCL, Barcelona, Spain (Online), 6350–6365
Goran Glavaš, Mladen Karan, and Ivan Vulić. 2020 · 2020
Cited alongside, same era.
KanCMD: Kannada CodeMixed Dataset for Sentiment Analysis and Offensive Language Detection. In Proc. of the PEOPLES Workshop . ACL, Barcelona, Spain (Online), 54–63
Adeep Hande, Ruba Priyadharshini, and Bharathi Raja Chakravarthi. 2020 · 2020
Cited alongside, same era.
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
Later among the works it cites.
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer. In Proc. of NAACL-HLT . ACL, Online, 483–498
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
Later among the works it cites.
Towards generalisable hate speech detection: a review on obstacles and solutions
Wenjie Yin and Arkaitz Zubiaga. 2021 · 2021
Later among the works it cites.
A literature review of textual hate speech detection methods and datasets
Fatimah Alkomah and Xiaogang Ma. 2022 · 2022
Later among the works it cites.
UrduThreat@FIRE2021: Shared Track on Abusive Threat Identification in Urdu. In Proc. of FIRE (Virtual Event, India). ACM, New York, NY, USA, 9–11
Maaz Amjad, Alisa Zhila, Grigori Sidorov, Andrey Labunets, Sabur Butt, Hamza Imam Amjad, Oxana Vitman, and Alexander Gelbukh. 2022 · 2022
Later among the works it cites.
Hate speech detection is not as easy as you may think: A closer look at model validation (extended version)
Aymé Arango, Jorge Pérez, and Barbara Poblete. 2022 · 2022
Later among the works it cites.
Resources for Multilingual Hate Speech Detection. In Proc. of the WOAH Workshop . ACL, Seattle, Washington (Hybrid), 122–130
Ayme Arango Monnar, Jorge Perez, Barbara Poblete, Magdalena Saldaña, and Valentina Proust. 2022 · 2022
Later among the works it cites.
Addressing the Challenges of Cross-Lingual Hate Speech Detection
Irina Bigoulaeva, Viktor Hangya, Iryna Gurevych, and Alexander Fraser. 2022 · 2022
Later among the works it cites.
Detecting Hateful and Offensive Speech in Arabic Social Media Using Transfer Learning
Zakaria Boulouard, Mariya Ouaissa, Mariyam Ouaissa, Moez Krichen, Mutiq Almutiq, and Karim Gasmi. 2022 · 2022
Later among the works it cites.
Dravidiancodemix: Sentiment analysis and offensive language identification dataset for dravidian languages in code-mixed text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Vigneshwaran Muralidaran, Navya Jose, Shardul Suryawanshi, Elizabeth Sherly, and John P McCrae. 2022 · 2022
Later among the works it cites.
AdaPrompt: Adaptive Model Training for Prompt-based NLP. In Findings of EMNLP . ACL, Abu Dhabi, United Arab Emirates, 6057–6068
Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, and Yue Zhang. 2022 · 2022
Later among the works it cites.
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages. In Proc. of ACM HT (Barcelona, Spain). ACM, New York, NY, USA, 32–42
Mithun Das, Somnath Banerjee, and Animesh Mukherjee. 2022 · 2022
Later among the works it cites.
Unsupervised Embeddings with Graph Auto-Encoders for Multi-domain and Multilingual Hate Speech Detection. In Proc. of LREC . ELRA, Marseille, France, 2196–2204
Gretel Liz De la Peña Sarracén and Paolo Rosso. 2022 · 2022
Later among the works it cites.
Detection of fake news and hate speech for Ethiopian languages: a systematic review of the approaches
Wubetu Barud Demilie and Ayodeji Olalekan Salau. 2022 · 2022
Later among the works it cites.
COLD: A Benchmark for Chinese Offensive Language Detection. In Proc. of EMNLP . ACL, Abu Dhabi, United Arab Emirates, 11580–11599
Jiawen Deng, Jingyan Zhou, Hao Sun, Chujie Zheng, Fei Mi, Helen Meng, and Minlie Huang. 2022 · 2022
Later among the works it cites.
Highly generalizable models for multilingual hate speech detection
Neha Deshpande, Nicholas Farris, and Vidhur Kumar. 2022 · 2022
Later among the works it cites.
Transfer language selection for zero-shot cross-lingual abusive language detection
Juuso Eronen, Michal Ptaszynski, Fumito Masui, Masaki Arata, Gniewosz Leliwa, and Michal Wroczynski. 2022 · 2022
Later among the works it cites.
Language-agnostic BERT Sentence Embedding. In Proc. of ACL . ACL, Dublin, Ireland, 878–891
Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, and Wei Wang. 2022 · 2022
Later among the works it cites.
Multilingual Abusive Comment Detection at Scale for Indic Languages
Vikram Gupta, Sumegh Roychowdhury, Mithun Das, Somnath Banerjee, Punyajoy Saha, Binny Mathew, Animesh Mukherjee, et al · 2022
Later among the works it cites.
Designing of Prompts for Hate Speech Recognition with In-Context Learning. In Proc. of CSCI . IEEE, 319–320
Lawrence Han and Hao Tang. 2022 · 2022
Later among the works it cites.
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. In Proc. of ACL . ACL, Dublin, Ireland, 3309–3326
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar. 2022 · 2022
Later among the works it cites.
Transfer Learning Across Arabic Dialects for Offensive Language Detection. In Proc. of IALP . 196–205
Fatemah Husain and Ozlem Uzuner. 2022 · 2022
Later among the works it cites.
KOLD: Korean Offensive Language Dataset. In Proc. of EMNLP . ACL, Abu Dhabi, United Arab Emirates, 10818–10833
Younghoon Jeong, Juhyun Oh, Jongwon Lee, Jaimeen Ahn, Jihyung Moon, Sungjoon Park, and Alice Oh. 2022 · 2022
Later among the works it cites.
SWSR: A Chinese dataset and lexicon for online sexism detection
Aiqi Jiang, Xiaohan Yang, Yang Liu, and Arkaitz Zubiaga. 2022 · 2022
Later among the works it cites.
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. In Findings of AACL-IJCNLP . ACL, Online only, 347–363
Syrielle Montariol, Arij Riabi, and Djamé Seddah. 2022 · 2022
Later among the works it cites.
Cross-Lingual Few-Shot Hate Speech and Offensive Language Detection Using Meta Learning
Marzieh Mozafari, Reza Farahbakhsh, and Noel Crespi. 2022 · 2022
Later among the works it cites.
A Checkpoint on Multilingual Misogyny Identification. In Proc. of ACL SRW . ACL, Dublin, Ireland, 454–460
Arianna Muti and Alberto Barrón-Cedeño. 2022 · 2022
Later among the works it cites.
Tung Minh Phung and Jan Cloos. 2022 · 2022
Later among the works it cites.
Overview of exist 2022: sexism identification in social networks
Francisco Rodríguez-Sánchez, Jorge Carrillo-de Albornoz, Laura Plaza, Adrián Mendieta-Aragón, Guillermo Marco-Remón, Maryna Makeienko, María Plaza, Julio Gonzalo, Damiano Spina, and Paolo Rosso. 2022 · 2022
Later among the works it cites.
Training Multilingual and Adversarial Attack-Robust Models for Hate Detection on Social Media
Anastasia Ryzhova, Dmitry Devyatkin, Sergey Volkov, and Vladimir Budzko. 2022 · 2022
Later among the works it cites.
Offensive Content Detection via Synthetic Code-Switched Text. In Proc. of COLING . ICCL, Gyeongju, Republic of Korea, 6617–6624
Cesa Salaam, Franck Dernoncourt, Trung Bui, Danda Rawat, and Seunghyun Yoon. 2022 · 2022
Later among the works it cites.
Overview of the HASOC Subtrack at FIRE 2022: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages. In Proc. of FIRE (Kolkata, India). ACM, New York, NY, USA, 4–7
Shrey Satapara, Prasenjit Majumder, Thomas Mandl, Sandip Modha, Hiren Madhu, Tharindu Ranasinghe, Marcos Zampieri, Kai North, and Damith Premasiri. 2023 · 2022
Later among the works it cites.
Cross-lingual offensive speech identification with transfer learning for low-resource languages
Xiayang Shi, Xinyi Liu, Chun Xu, Yuanyuan Huang, Fang Chen, and Shaolin Zhu. 2022 · 2022
Later among the works it cites.
Cleansing & expanding the HURTLEX(el) with a multidimensional categorization of offensive words. In Proc. of the WOAH Workshop . ACL, Seattle, Washington (Hybrid), 102–108
Vivian Stamou, Iakovi Alexiou, Antigone Klimi, Eleftheria Molou, Alexandra Saivanidou, and Stella Markantonatou. 2022 · 2022
Later among the works it cites.
A multilingual offensive language detection method based on transfer learning from transformer fine-tuning model
Fatima zahra El-Alami, Said Ouatik El Alaoui, and Noureddine En Nahnahi. 2022 · 2022
Later among the works it cites.
Haris Bin Zia, Ignacio Castro, Arkaitz Zubiaga, and Gareth Tyson. 2022 · 2022
Later among the works it cites.
Building for tomorrow: Assessing the temporal persistence of text classifiers
Rabab Alkhalifa, Elena Kochkina, and Arkaitz Zubiaga. 2023 · 2023
Later among the works it cites.
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
Md Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, and Tanmoy Chakraborty. 2023 · 2023
Later among the works it cites.
Label modification and bootstrapping for zero-shot cross-lingual hate speech detection
Irina Bigoulaeva, Viktor Hangya, Iryna Gurevych, and Alexander Fraser. 2023 · 2023
Later among the works it cites.
A literature survey on multimodal and multilingual automatic hate speech identification
Anusha Chhabra and Dinesh Kumar Vishwakarma. 2023 · 2023
Later among the works it cites.
What is Hate Speech?
Rights for Peace. [n. d.] · 2023
Later among the works it cites.
Handling Bias in Toxic Speech Detection: A Survey
Tanmay Garg, Sarah Masud, Tharun Suresh, and Tanmoy Chakraborty. 2023 · 2023
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
Later among the works it cites.
SexWEs: Domain-Aware Word Embeddings via Cross-Lingual Semantic Specialisation for Chinese Sexism Detection in Social Media
Aiqi Jiang and Arkaitz Zubiaga. 2023 · 2023
Later among the works it cites.
Haspeede3 at evalita 2023: Overview of the political and religious hate speech detection task. In EVALITA
Mirko Lai, Fabio Celli, Alan Ramponi, Sara Tonelli, Cristina Bosco, and Viviana Patti. 2023 · 2023
Later among the works it cites.
OpenAI. 2023 · 2023
Later among the works it cites.
COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic
Sayanta Paul, Sriparna Saha, and Jyoti Prakash Singh. 2023 · 2023
Later among the works it cites.
Overview of EXIST 2023: sEXism Identification in Social NeTworks. In Proc. of ECIR . Springer, 593–599
Laura Plaza, Jorge Carrillo-de Albornoz, Roser Morante, Enrique Amigó, Julio Gonzalo, Damiano Spina, and Paolo Rosso. 2023 · 2023
Later among the works it cites.
Respectful or Toxic? Using Zero-Shot Learning with Language Models to Detect Hate Speech. In Proc. of the WOAH workshop . ACL, Toronto, Canada, 60–68
Flor Miriam Plaza-del arco, Debora Nozza, and Dirk Hovy. 2023 · 2023
Later among the works it cites.
Probing LLMs for hate speech detection: strengths and vulnerabilities
Sarthak Roy, Ashish Harshavardhan, Animesh Mukherjee, and Punyajoy Saha. 2023 · 2023
Later among the works it cites.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Later among the works it cites.
UN Strategy and Plan of Action on Hate Speech
UNSPAHS. 2019 · 2023
Later among the works it cites.
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation. In Proc. of IJCAI . 6255–6263
Han Wang, Ming Shan Hee, Md Rabiul Awal, Kenny Tsu Wei Choo, and Roy Ka-Wei Lee. 2023 · 2023
Later among the works it cites.
Session-based cyberbullying detection in social media: A survey
Peiling Yi and Arkaitz Zubiaga. 2023 · 2023
Later among the works it cites.
Interpretable unified language checking
Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, Wei Fang, Luc Gaitskell, Thomas Hartvigsen, Xixin Wu, Danny Fox, Helen Meng, and James Glass. 2023 · 2023
Later among the works it cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
Later among the works it cites.
Cross-Cultural Transfer Learning for Chinese Offensive Language Detection. In Proc. of the C3NLP Workshop) . ACL, Dubrovnik, Croatia, 8–15
Li Zhou, Laura Cabello, Yong Cao, and Daniel Hershcovich. 2023 · 2023
Later among the works it cites.
Jointly Learning to Embed and Predict with Multiple Languages. In Proc. of ACL) . ACL, Berlin, Germany, 2019–2028
Daniel C. Ferreira, André F. T. Martins, and Mariana S. C. Almeida. 2016 · 2028
Closest in time.
Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data
Akshi Kumar and Nitin Sachdeva. 2022 · 2041
Closest in time.