Proposed Framework for Detecting Multilingual Hate Speech on Social Media Platform
This research introduces a smart system that can find hurtful words in many different languages on the internet. It uses special computer programs that help it understand how different languages work, so it can spot hate speech correctly. These programs, like BERT and GPT, help the system learn and improve. The way the system is built allows it to quickly work in real-time, which means it can help keep online spaces safe and friendly while easily adding new languages or adjusting to new ways people talk online. This system is really helpful for keeping social media nice and supportive by checking for bad words in posts, like those on Twitter, and training to get better at it.
Authors
- Poonam Chaudhary (ORCID: https://orcid.org/0000-0001-5529-5561)
- Rachna Narula (ORCID: https://orcid.org/0009-0006-2239-3724)
Institutions
- The NorthCap University (IN)
Publication Details
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1109/delcon64804.2024.10867230
- Primary Topic
- Hate Speech and Cyberbullying Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00