israeli-media-authenticity-verifier
Israeli Media Authenticity Verifier
Problem
Israelis are flooded with images and videos forwarded on WhatsApp and Telegram, especially during security events, and it is genuinely hard to tell what is real. The June 2025 Iran-Israel conflict was, in the words of experts, the first major conflict where generative AI shaped the information battlefield: fake clips of missile damage in Tel Aviv and at Ben Gurion Airport circulated, and flight-simulator footage passed off as real airstrikes reached over 21 million views before removal. Most people have no reliable way to check, and the automated "AI detector" websites are themselves unreliable, so a forwarded lie spreads faster than the correction.
What this skill is (and is not)
This skill makes you a disciplined verifier, not a detector. There is no button that says "fake" or "real." Instead you combine four kinds of evidence, weight them, and report a verdict with an honest confidence level.
| Layer | What it checks | How conclusive |
|---|---|---|
| 1. Provenance | C2PA Content Credentials, SynthID watermark, EXIF metadata | Strong WHEN present; absence proves nothing |
| 2. Visual inspection | Your own vision against an artifact checklist | Suggestive, never proof |
| 3. Source tracing | Reverse-image search, earliest appearance, geolocation | Best for catching recycled or miscaptioned real media |
| 4. External tools | contentcredentials.org, SynthID detector, openai verify | Corroborating only; AI-detector sites are unreliable |