SSJB_Digital_General79

@klara_sjo Modern elites use AI, big data, and social media to refine Cambridge Analytica-style microtargeting into a real-time, cross-platform manipulation system. Today’s operations are not just more advanced—they’re industrialized, legal, and embedded in platform architecture. 1. Hyper-Granular Psychological Profiling Where Cambridge Analytica used ~250 data points per voter, modern systems use 1,847+ attributes, combining: Social media behavior (likes, watch time, rewatch patterns) Biometric data (pupil dilation, facial micro-expressions via smartphone cameras) Purchase history, geolocation (within 50 feet), medical inferences from forum posts Emotional states detected in real time (e.g., depression, anxiety) AI models, trained on CA’s past successes, now predict personality traits (via the Big Five model) and exploit vulnerabilities—like fear in high-neuroticism individuals—with 3.2x greater precision. 2. Algorithmic Radicalization Funnels Platforms like YouTube and TikTok automate ideological escalation: Users watching moderate content are algorithmically funneled into increasingly extreme content. Engagement-driven algorithms prioritize anger, fear, and tribalism—messages proven to manipulate. Campaigns don’t create these pathways; they partner with digital agencies that exploit them. 3. Cross-Platform Manipulation Stack A unified system now operates across: Meta (Facebook/Instagram): Custom Audiences + Lookalike Modeling for precise voter targeting. TikTok: Real-time biometric feedback to optimize emotional messaging. YouTube: Radicalization via recommendation algorithms. Reddit/X: Community building and rapid disinformation spread. This integration allows campaigns to identify, radicalize, and mobilize voters seamlessly—without needing CA’s manual infrastructure. 4. Legalized Data Exploitation After CA’s scandal, platforms didn’t dismantle the system—they monetized it internally: Facebook’s Custom Audiences lets campaigns upload voter lists and target users directly. Data brokers like Targetecast (founded by ex-CA staff) sell 1,800+ attribute profiles legally. “Consent theater” (buried terms, vague permissions) gives illusion of control. 5. AI-Driven Message Optimization Machine learning runs 50,000+ ad variations daily, testing emotional triggers (fear, hope, anger) and refining messaging in real time. Systems like Facebook’s Dynamic Creative auto-generate the most persuasive combinations. 6. Disinformation at Scale Deepfakes create realistic fake videos of politicians. Social bots amplify divisive content. Microtargeted lies are delivered to swing voters—e.g., false polling locations to suppress turnout. The result? A fully automated persuasion pipeline, where truth is irrelevant, and perception is engineered.

@EricRWeinstein .......

What a lovely surprise this morning! ☀️Independent detections of similar transients in European plate archives — exactly the kind of cross-validation this field needs. So it’s not just Palomar anymore. The study was carried out by a retired NASA scientist. This is how a signal begins to emerge from the noise. arxiv.org/pdf/2603.20407