Developing a Multilingual Annotated Corpus of Misogyny and Aggression
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Abstract (arXiv)
In this paper, we discuss the development of a multilingual annotated corpus of misogyny and aggression in Indian English, Hindi, and Indian Bangla as part of a project on studying and automatically identifying misogyny and communalism on social media (the ComMA Project). The dataset is collected from comments on YouTube videos and currently contains a total of over 20,000 comments. The comments are annotated at two levels - aggression (overtly aggressive, covertly aggressive, and non-aggressive) and misogyny (gendered and non-gendered). We describe the process of data collection, the tagset used for annotation, and issues and challenges faced during the process of annotation. Finally, we discuss the results of the baseline experiments conducted to develop a classifier for misogyny in the three languages.
Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Mar 2020.
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Citing papers per year: 2021: 6; 2022: 2; 2023: 10; 2024: 10; 2025: 3.
31 papers.
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- 2024CultureLLM: Incorporating Cultural Differences into Large Language Modelscited by 49
- 2021SWSR: A Chinese Dataset and Lexicon for Online Sexism Detectioncited by 42
- 2021Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathicited by 28
- 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Modelscited by 24
- 2021Multilingual Offensive Language Identification for Low-resource Languagescited by 22
- 2021Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Commentscited by 20
- 2024MetaHate: A Dataset for Unifying Efforts on Hate Speech Detectioncited by 14
- 2023Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memescited by 12
- 2023Multilingual Content Moderation: A Case Study on Redditcited by 8
- 2021The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discoursecited by 4
- 2023Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Datacited by 4
- 2023Identity Construction in a Misogynist Incels Forumcited by 3
19 more
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- 2024Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challengescited by 2
- 2024Divided by discipline? A systematic literature review on the quantification of online sexism and misogyny using a semi-automated approachcited by 2
- 2025A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in Englishcited by 2
- 2022UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identificationcited by 1
- 2023Elevating Code-mixed Text Handling through Auditory Information of Wordscited by 1
- 2024HarmPot: An Annotation Framework for Evaluating Offline Harm Potential of Social Media Textcited by 1
- 2024Towards Generalized Offensive Language Identificationcited by 1
- 2025HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language modelscited by 1
- 2022Misogyny classification of German newspaper forum commentscited by 0
- 2023LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classificationcited by 0
- 2023A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Datacited by 0
- 2023A Survey on Online User Aggression: Content Detection and Behavioral Analysis on Social Mediacited by 0
- 2024Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languagescited by 0
- 2024A Target-Aware Analysis of Data Augmentation for Hate Speech Detectioncited by 0
- 2024A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Informationcited by 0
- 2025Defining, Understanding, and Detecting Online Toxicity: Challenges and Machine Learning Approachescited by 0
- 2025Defining, Understanding, and Detecting Online Toxicity: Challenges and Machine Learning Approaches14 Sep 2025
- 2025A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English11 Apr 2025
- 2025HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models7 Jan 2025
- 2024A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information11 Nov 2024
- 2024A Target-Aware Analysis of Data Augmentation for Hate Speech Detection10 Oct 2024
- 2024Divided by discipline? A systematic literature review on the quantification of online sexism and misogyny using a semi-automated approach30 Sep 2024
- 2024Towards Generalized Offensive Language Identification26 Jul 2024
- 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Models24 May 2024
- 2024HarmPot: An Annotation Framework for Evaluating Offline Harm Potential of Social Media Text17 Mar 2024
- 2024CultureLLM: Incorporating Cultural Differences into Large Language Models9 Feb 2024
- 2024Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges17 Jan 2024
- 2024MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection12 Jan 2024
19 more
- 2024Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages8 Jan 2024
- 2023A Survey on Online User Aggression: Content Detection and Behavioral Analysis on Social Media15 Nov 2023
- 2023The Uli Dataset: An Exercise in Experience Led Annotation of oGBV15 Nov 2023
- 2023Elevating Code-mixed Text Handling through Auditory Information of Words27 Oct 2023
- 2023A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data15 Aug 2023
- 2023Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings9 Jul 2023
- 2023Identity Construction in a Misogynist Incels Forum27 Jun 2023
- 2023LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and Classification8 Jun 2023
- 2023Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes17 Mar 2023
- 2023Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data13 Mar 2023
- 2023Multilingual Content Moderation: A Case Study on Reddit19 Feb 2023
- 2022Misogyny classification of German newspaper forum comments30 Nov 2022
- 2022UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification29 May 2022
- 2021The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse19 Nov 2021
- 2021Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities11 Oct 2021
- 2021Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi8 Sep 2021
- 2021Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments1 Sep 2021
- 2021SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection6 Aug 2021
- 2021Multilingual Offensive Language Identification for Low-resource Languages12 May 2021
- 2024CultureLLM: Incorporating Cultural Differences into Large Language Modelscited by 49
- 2021SWSR: A Chinese Dataset and Lexicon for Online Sexism Detectioncited by 42
- 2021Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathicited by 28
- 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Modelscited by 24
- 2021Multilingual Offensive Language Identification for Low-resource Languagescited by 22
- 2021Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Commentscited by 20
- 2024MetaHate: A Dataset for Unifying Efforts on Hate Speech Detectioncited by 14
- 2023Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memescited by 12
- 2023Multilingual Content Moderation: A Case Study on Redditcited by 8
- 2021The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discoursecited by 4
- 2023Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Datacited by 4
- 2023Identity Construction in a Misogynist Incels Forumcited by 3
12 most cited of 31 All 31 (JSON)
- 2025Defining, Understanding, and Detecting Online Toxicity: Challenges and Machine Learning Approaches14 Sep 2025
- 2025A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English11 Apr 2025
- 2025HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models7 Jan 2025
- 2024A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information11 Nov 2024
- 2024A Target-Aware Analysis of Data Augmentation for Hate Speech Detection10 Oct 2024
- 2024Divided by discipline? A systematic literature review on the quantification of online sexism and misogyny using a semi-automated approach30 Sep 2024
- 2024Towards Generalized Offensive Language Identification26 Jul 2024
- 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Models24 May 2024
- 2024HarmPot: An Annotation Framework for Evaluating Offline Harm Potential of Social Media Text17 Mar 2024
- 2024CultureLLM: Incorporating Cultural Differences into Large Language Models9 Feb 2024
- 2024Cross-lingual Offensive Language Detection: A Systematic Review of Datasets, Transfer Approaches and Challenges17 Jan 2024
- 2024MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection12 Jan 2024
12 newest of 31 All 31 (JSON)