Alignment with DF goals (BGI, Platform growth, community)
This tool detects hate speech and conflict-inciting content in text, images, and videos using VideoLLMs and computer vision. Trained on diverse datasets, it provides real-time analysis and moderation suggestions, helping platforms and groups maintain safer online spaces across cultural contexts.
Alignment with DF Goals (BGI, Platform Growth, Community)
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BGI: Reduces harmful content spread, contributing to a safer digital world via responsible AI.
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Platform Growth: Appeals to tech firms, media, and communities, drawing new users to Deepfunding.
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Community: Engages users in refining the AI through crowdsourcing harmful content examples, building shared purpose.
Problem description
The internet is full of hate speech and propaganda that can stir up real-world trouble, but spotting it manually is tough. There’s just too much content, and some of it’s sneaky. Most tools focus on text, leaving videos and images unchecked, which means risky stuff slips through the cracks.
Proposed Solutions
The AI will tackle this with a mix of tools: NLP for text, computer vision for images, and VideoLLMs for videos. It’ll be trained on all kinds of examples to spot hate speech, violent visuals, or propaganda tricks, no matter the language or style. It’ll flag issues in real-time and suggest moderation steps, helping platforms act quickly to keep things calm.
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