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End CyberBullying With AI
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How AI Can Detect Cyberbullying (1)
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💡 How AI Can Detect Cyberbullying: Explore how sentiment detection works
AI-powered sentiment detection helps identify cyberbullying by analyzing the tone and intent behind online messages. Using natural language processing (NLP) and machine learning, AI can classify text into categories such as:
✅ Positive – Encouraging, supportive, or neutral messages.
❌ Negative – Harmful, offensive, or bullying remarks.
💬 Supportive of an Argument – Engages in healthy discussion.
⚠️ Not Supportive of an Argument – Dismissive, aggressive, or toxic.
AI tools scan messages in real-time, flagging harmful content and alerting users before they post. This technology can help social media platforms, schools, and individuals create a safer digital space by reducing online harassment and encouraging positive interactions.
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Welcome to End Cyberbullying with AI, a community dedicated to using technology and advocacy to create safer online spaces! Founded by Ishanvi, this group is focused on leveraging AI-powered sentiment detection to prevent harmful online behavior and promote positive digital interactions.
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