Papers Abusive Language
“Abusive Language” 태그가 달린 논문 166편 · 필터 해제
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
In the realm of Natural Language Processing (NLP), common approaches for handling human disagreement consist of aggregating annotators' viewpoints to establish a single ground truth. However, prior studies show that disr…
Abusive LanguageStance Detectiontext-classificationText ClassificationBreaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon
Social media platforms have experienced a significant rise in toxic content, including abusive language and discriminatory remarks, presenting growing challenges for content moderation. Some users evade censorship by del…
Abusive LanguageA Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
Content moderation research has recently made significant advances, but still fails to serve the majority of the world's languages due to the lack of resources, leaving millions of vulnerable users to online hostility. T…
Abusive LanguageTopic ClassificationCreating and Evaluating Code-Mixed Nepali-English and Telugu-English Datasets for Abusive Language Detection Using Traditional and Deep Learning Models
With the growing presence of multilingual users on social media, detecting abusive language in code-mixed text has become increasingly challenging. Code-mixed communication, where users seamlessly switch between English …
Abuse DetectionAbusive LanguageGraphically Speaking: Unmasking Abuse in Social Media with Conversation Insights
Detecting abusive language in social media conversations poses significant challenges, as identifying abusiveness often depends on the conversational context, characterized by the content and topology of preceding commen…
Abusive LanguageGS_DravidianLangTech@2025: Women Targeted Abusive Texts Detection on Social Media
The increasing misuse of social media has become a concern; however, technological solutions are being developed to moderate its content effectively. This paper focuses on detecting abusive texts targeting women on socia…
Abusive LanguageregressionSafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
Detecting toxic language including sexism, harassment and abusive behaviour, remains a critical challenge, particularly in its subtle and context-dependent forms. Existing approaches largely focus on isolated message-lev…
Abusive LanguageConversation SummarizationAfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages
Hate speech and abusive language are global phenomena that need socio-cultural background knowledge to be understood, identified, and moderated. However, in many regions of the Global South, there have been several docum…
Abusive LanguageKeyword SpottingTowards Efficient and Explainable Hate Speech Detection via Model Distillation
Automatic detection of hate and abusive language is essential to combat its online spread. Moreover, recognising and explaining hate speech serves to educate people about its negative effects. However, most current detec…
Abusive LanguageHate Speech DetectionTowards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning
Online abusive content detection, particularly in low-resource settings and within the audio modality, remains underexplored. We investigate the potential of pre-trained audio representations for detecting abusive langua…
Abuse DetectionAbusive LanguageFew-Shot LearningMeta-LearningA Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information
Hate speech, offensive language, aggression, racism, sexism, and other abusive language are common phenomena in social media. There is a need for Artificial Intelligence(AI)based intervention which can filter hate conten…
Abusive LanguageHate Speech DetectionMulti-Task LearningThreatGram 101 - Extreme Telegram Replies Data with Threat Levels
With the growth of social media, threats in comments targeting public officials, entities, or organizations have become increasingly common. Previous research on threat detection has typically focused on broad categories…
Abusive LanguageHate Speech DetectionInformation RetrievalMisinformation+4English offensive text detection using CNN based Bi-GRU model
Over the years, the number of users of social media has increased drastically. People frequently share their thoughts through social platforms, and this leads to an increase in hate content. In this virtual community, in…
Abusive LanguageText DetectionDetecting LGBTQ+ Instances of Cyberbullying
Social media continues to have an impact on the trajectory of humanity. However, its introduction has also weaponized keyboards, allowing the abusive language normally reserved for in-person bullying to jump onto the scr…
Abusive LanguageDetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection
Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks. However, their practical application in high-stake domains, such as fraud and abuse detection, remains an area …
Abuse DetectionAbusive LanguageBenchmarkingFraud Detection+1Words as Trigger Points in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit
Political debates on social media sometimes flare up. From that moment on, users engage much more with one another; their communication is also more emotional and polarised. While it has been difficult to grasp such mome…
Abusive LanguageEkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian Twitter
Nigerians have a notable online presence and actively discuss political and topical matters. This was particularly evident throughout the 2023 general election, where Twitter was used for campaigning, fact-checking and v…
Abusive LanguageCross-Lingual TransferFact CheckingHate Speech Detection+1Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online Spaces
Online gender-based harassment is a widespread issue limiting the free expression and participation of women and marginalized genders in digital spaces. Detecting such abusive content can enable platforms to curb this me…
Abuse DetectionAbusive LanguageWord EmbeddingsDeep Prompt Multi-task Network for Abuse Language Detection
The detection of abusive language remains a long-standing challenge with the extensive use of social networks. The detection task of abusive language suffers from limited accuracy. We argue that the existing detection me…
Abusive LanguageGeneral KnowledgeMulti-Task LearningSubjective $\textit{Isms}$? On the Danger of Conflating Hate and Offence in Abusive Language Detection
Natural language processing research has begun to embrace the notion of annotator subjectivity, motivated by variations in labelling. This approach understands each annotator's view as valid, which can be highly suitable…
Abusive LanguageHate Speech DetectionSentiment Analysisvalid