Hate Speech and Cyberbullying Detection
Hate Speech and Cyberbullying Detection is a topic indexed in ScholarIQ from OpenAlex.
What is known about Hate Speech and Cyberbullying Detection?
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.
How many works does Hate Speech and Cyberbullying Detection have?
Hate Speech and Cyberbullying Detection has 46,106 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Hate Speech and Cyberbullying Detection have?
Hate Speech and Cyberbullying Detection has 294,880 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Hate Speech and Cyberbullying Detection?
The OpenAlex for Hate Speech and Cyberbullying Detection is on the source record.