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Single Post Version of the Classifier Claim

Screenshot of a single X post with an embedded dark slide describing a hate speech classification model and its scoring thresholds

What This Image Shows

A screenshot of a single post from an account shown as 1984, handle @TheOfficial1984, with an embedded dark slide beneath the text.

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," with sections on "Semantic Analysis," "Contextual Scoring" and "Thresholding: Content scoring above 0.9 (high confidence) triggers alerts."

Five separate captures of this same material sit in this intake queue, which is itself a fact about how the claim propagated. The classifier described is a published research system; the assertions about voice identification from live audio and about a foreign intelligence service acting on the output are the poster's and unverified. See Censorship and Technology and Surveillance.

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