Topic · Artificial Intelligence
Hate Speech and Cyberbullying Detection
Hate Speech and Cyberbullying Detection is a research topic within Artificial Intelligence. Science Explorer counts 18k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the automated detection of hate speech, offensive language, and cyberbullying in social media platforms such as Twitter. It explores various techniques including machine learning, natural language processing, and deep learning to identify and categorize abusive content, with a specific emphasis on mitigating online harassment and promoting online safety.
- Hate Speech
- Detection
- Social Media
- Cyberbullying
- Offensive Language
- Machine Learning
- Natural Language Processing
- Online Harassment
- Deep Learning
- Research works
- 18k fractional, since 1950
- In the world top 10%
- 1.7k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +82% the tick is no change
- Largest producer
United States
29% of the 10 largest, 2022-now
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