Full Thread on the Content Classification System
What This Image Shows
A long vertical screenshot of a thread from an account shown as 1984, handle @TheOfficial1984, each post carrying a black-and-white technical slide.
The opening 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 slides describe: "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)," with sections on "Semantic Analysis: Detects implicit bias, dog-whistles," "Contextual Scoring," and "Thresholding: Content scoring above 0.9 (high confidence) triggers alerts."
This is the extended version of the material held elsewhere in this cluster. The classifier described is a published research system and the technical account is plausible on its face; the claims about voice identification from audio spaces and about a foreign intelligence service acting on the output are the poster's, unverified, and not adopted here. Automated flagging is directly relevant to how quickly material from this investigation disappeared from platforms. See Censorship and Technology and Surveillance.
Related Areas
- Cluster: Unfiled Backlog
- All photo evidence: Photos