Multimodal cyberbullying detection in Hinglish memes using a classroom framework based on large language models

Key Points

• Multimodal analysis identifies instances of cyberbullying in Hinglish memes, enhancing detection accuracy.
• Key evidence shows an improvement in detection rates up to 30% with the new framework.
• Implementation uses large language models for sophisticated analysis of memes and language patterns.
• Findings suggest effective strategies for addressing cyberbullying in educational settings, indicating broader implications for digital safety.