Post on Automated Hate Speech Classification
What This Image Shows
A split-screen capture. On the right is a post from an account shown as 1984, handle @TheOfficial1984, timestamped 2:55 PM, Nov 3, 2025, with 7,389 views. On the left is a dark presentation slide describing the internals of a content classifier.
The post reads: "Did you know the ADL is assigning your social credit score on X using machine learning and neural networks created at Uc Berkley D-Lab? Online Hate Index V3 (OHI V3). It can identity you by your voice from analyzing spaces. It flags the content. Israeli intelligence removes it." The slide reads: "Hate Speech Classification with OHI V3: The transcribed text is fed into OHI V3's core model, a fine-tuned transformer-based neural network (built on architectures like BERT or RoBERTa)," followed by bullets on "Semantic Analysis: Detects implicit bias, dog-whistles," "Contextual Scoring," and "Thresholding: Content scoring above 0.9."
The Online Hate Index is a published research project, and the technical description on the slide is broadly consistent with how such classifiers are built. The claim that a foreign intelligence service acts on its output is the poster's, is unverified, and is not adopted here. See Censorship and Technology and Surveillance.
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