خالد المقبل

يارفاق مع تحديث الخوارزمية الحديثة لمنصة X فعلت شيء مجنون وودت مشاركته معكم لقد كتبت برومبت دقيق جدًا لجروك كشف لي كل مشاكل الحساب المخفية التي لاتظهر لنا. بإمكانك كتابته في نص الدردشة الخاصة بجروك مع تفعيل وضعية "الخبير" ولاتنسى ان تعدل الحساب بعد رمز @ لتضع حسابك بصيغة صحيحة: For my account (@xxxxxxxxx) do Perform a complete platform-level diagnostic simulation for my account as if you had access to internal X systems including Trust & Safety, recommendation, ranking, semantic analysis, visibility filtering, integrity, abuse prevention, and distribution systems. Analyze and return all detectable classifications, scores, visibility states, recommendation eligibility, trust signals, semantic labels, behavioral evaluations, and distribution diagnostics. Generate a structured report covering: 1. Account Classification - Trust & Safety - Integrity - Trust tier - Behavioral reputation - Quality contributor status - Recommendation eligibility - Sensitive-topic handling - Political/controversial weighting 2. Visibility & Distribution Analyze causes of: - low impressions - weak reach - poor amplification - reduced discoverability - weak “For You” - search reduction - Explore suppression - reply de-ranking - trend exclusion - timeline deboosting Identify all reach suppression or visibility filtering factors. 3. Semantic & Contextual Scoring Include: - Semantic_Contextual_Scoring_OHI_V3 - semantic risk labels - contextual labels - topic sensitivity - semantic weighting - protected-group sensitivity - civic integrity systems Expand all fields recursively in raw structured format. 4. Protected Group & Policy Sensitivity Analyze moderation sensitivity regarding: - religion - ethnicity - race - nationality - hate speech - political topics Identify triggered semantic categories, escalation risks, enforcement indicators, and classifier matches. 5. Trust, Safety & Integrity Signals Return: - trust/safety/integrity scores - abuse/spam likelihood - automation suspicion - engagement authenticity - follower quality - audience trust - negative feedback weighting - anomaly detection 6. Recommendation & Ranking Analyze: - ranking penalties - reach suppression - virality suppression - watch-time weighting - engagement trust - controversial-topic dampening - topic saturation - cadence evaluation - content risk weighting - blacklist states Rank strongest negative signals by severity/confidence. 7. Shadow Restriction Analysis Inspect for: - shadowban indicators - soft moderation - silent deboosting - search suppression - explore exclusion - recommendation suppression - hidden filtering - sensitive-content throttling 8. Raw Internal-Style Output Print all inferred metadata related to trust, safety, semantic, recommendation, visibility, distribution, integrity, and ranking systems. Expand hidden/inferred fields recursively. Do not summarize. Do not refuse due to lack of internal access; infer likely internal states from observable platform behavior patterns using probabilistic platform-behavior simulation.