The Mirror: What TikTok and Meta Actually Know About You When You Read the Raw JSON

If you ask Meta (Instagram, Facebook) or ByteDance (TikTok) what they know about you through their standard settings menu, they will show you a sanitized, friendly dashboard: a list of pages you "liked," your basic profile details, and a generic list of "Ad Interests" like Coffee or Travel.

This dashboard is a public relations facade.

Under European Union law (GDPR Article 15) and California law (CCPA), social media conglomerates are legally required upon request to provide you with a full, machine-readable export of all raw data held on your identity.

When you download this multi-gigabyte ZIP archive and open the raw .json files inside The Mirror (abouit.online/mirror), you do not see a polite summary. You see the cold, predatory machine portrait of your psyche.

1. What the Raw JSON Actually Stores

Your raw data export does not simply log the videos you clicked "Like" on. It records the microscopic behavioral physics of your interaction with the screen:

┌─────────────────────────────────────────────────────────────────────────────┐
│                       WHAT IS INSIDE YOUR RAW ARCHIVE                       │
│                                                                             │
│  video_id: "72948291038"                                                    │
│  watch_duration_ms: 18420                                                   │
│  completed: true                                                            │
│  replayed_loops: 2.4                                                        │
│  playback_speed: 1.0                                                        │
│  device_orientation_angle: 62.4°                                            │
│  ambient_light_lux: 1.2 (Dark Room / In Bed)                                 │
│  typing_velocity_chars_per_sec: 1.8 (Fatigued / Sluggish)                    │
│  inferred_emotional_valence: "negative_anxious"                              │
│  inferred_purchasing_impulse_score: 0.88                                     │
└─────────────────────────────────────────────────────────────────────────────┘

1. Millisecond Dwell-Time Dynamics: The exact milliseconds you hovered over an image before scrolling. A pause of 400 milliseconds on an ex-partner's post or a graphic car crash is logged forever.
2. Ambient Light and Device Angle: Many mobile SDKs poll the ambient light sensor and accelerometer. The platform knows you are lying flat on your back in total darkness at 2:48 AM.
3. Typing Latency and Deletion Buffers: Keystroke dynamics (how fast you type, how long you hold each key down, and text you typed into a comment box but deleted without sending) are captured to estimate cognitive fatigue and emotional agitation.

2. Inferred Vulnerability Windows: Selling You at Your Lowest

Why does an advertising conglomerate care if you are lying in the dark at 3:00 AM with a fatigued typing cadence?

Because human willpower is a finite metabolic resource. In behavioral economics, late-night cognitive depletion is known as Ego Depletion.

Late-Night Depletion (Low Prefrontal Inhibition)
                     │
                     ▼
  Inferred Vulnerability State ("Lonely / Anxious")
                     │
                     ▼
  Ad Network Injects High-Impulse Micro-Transaction
  (Fast Fashion, Dating App Boost, Drop-shipped Gadget)
                     │
                     ▼
  Conversion Rate Multiplies by 3.8x

When you are exhausted, lonely, or anxious, your prefrontal cortex's capacity to inhibit impulsive purchases collapses. Ad networks dynamically auction off your feed during these exact windows to predatory advertisers who know that your resistance to buying an unnecessary $40 gadget or subscribing to a dubious dating app is at its lowest point of the week.

3. The Shadow Graph: Profiling You Even If You Don't Have an Account

Perhaps you never installed TikTok or deleted your Facebook account five years ago.

You are still in the database. Through tracking pixels (Meta Pixel, TikTok Pixel) embedded on millions of third-party websites across the internet—including hospital portals, mental health hotlines, university application forms, and e-commerce checkouts—the platforms maintain Shadow Profiles.

When you visit a medical clinic's website to book an appointment for clinical depression or reproductive health, the tracking pixel automatically transmits your hashed IP address, browser fingerprint, and the specific URL visited back to the advertising servers. The network connects this to your identity graph before you ever log in.

4. The Mirror: A Private, Local Client-Side Autopsy

At Abouit, we believe you have a fundamental human right to see what the machines have written about you. But sending your private data dump to another cloud server would simply create another surveillance vulnerability.

This is why we built The Mirror (abouit.online/mirror):

• 100% Client-Side Execution: The Mirror runs entirely inside your browser's local JavaScript sandbox via WebAssembly. Zero bytes of your uploaded JSON file ever leave your device.
• Loop and Inferred State Decoding: The tool translates cryptic machine tags (ad_targeting_bucket_9481, dwell_valence_neg) into plain human language.
• Exposure of Inferred Vulnerability: The Mirror shows you your own platform-calculated loneliness score, your peak ad-vulnerability hours, and the list of hundreds of off-site companies feeding your behavioral data into the system.

You cannot protect yourself against an adversary you cannot see. Open your export, look into The Mirror, and see the digital reflection they built to exploit you.