A5016441741- Hate Speech and Cyberbullying Detection
- Online Learning and Analytics
- Learning Styles and Cognitive Differences
- Online and Blended Learning
Indraprastha Institute of Information Technology Delhi
2022-2023
Indian Institute of Technology Delhi
2023
Hate speech in social media is a growing phenomenon, and detecting such toxic content has recently gained significant traction the research community. Existing studies have explored fine-tuning language models (LMs) to perform hate detection, these solutions yielded performance. However, most of are limited only English, neglecting bulk hateful that generated other languages, particularly low-resource languages. Developing classifier captures nuances with data extremely challenging. To fill...
Detecting online toxicity has always been a challenge due to its inherent subjectivity. Factors such as the context, geography, socio-political climate, and background of producers consumers posts play crucial role in determining if content can be flagged toxic. Adoption automated detection models production thus lead sidelining various groups they aim help first place. It piqued researchers' interest examining unintended biases their mitigation. Due nascent multi-faceted nature work,...
Hate speech in social media is a growing phenomenon, and detecting such toxic content has recently gained significant traction the research community. Existing studies have explored fine-tuning language models (LMs) to perform hate detection, these solutions yielded performance. However, most of are limited only English, neglecting bulk hateful that generated other languages, particularly low-resource languages. Developing classifier captures nuances with data extremely challenging. To fill...