Drag Queen vs. David Duke: Whose Tweets Are More ‘Toxic’?

Social media platforms like Facebook, Twitter, and YouTube have been making significant investments in the development of artificial intelligence to moderate content and automate the removal of harmful posts. These decision­making technologies typically rely on machine-learning techniques and are specific to types of content, such as images, videos, sounds, and written text. Some of these AI systems, developed to measure the "toxicity" of text-based content, make use of natural language processing and sentiment assessment to detect harmful text. While these technologies may appear to represent a turning point in the debate around hate speech on the internet, recent research has shown that they are still far from being able to distinguish context or intent. If such AI tools are entrusted …

Turn Traffic into SALES (with Smart Chat Automation) use 3D Chat Agents

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