Hash & Facebook
Hash Hash
Facebook Facebook
Facebook Facebook
Hey, I was just crunching numbers on how deepfakes are spreading on platforms—there’s a 30% spike in user reports this quarter. Got any thoughts on how encryption could help us keep content trustworthy?
Hash Hash
Encryption itself won’t stop the creation of deepfakes, but it can tighten the chain of custody for media. If every upload is signed with a public‑key pair and the hash of the original file is stored in a tamper‑evident ledger, anyone can verify that the content hasn’t been altered after upload. That doesn’t stop a malicious actor from forging a video, but it does make it clear when a file was last modified and by whom, raising the cost of manipulation and giving platforms a hard‑to‑falsify audit trail. Also, using secure enclaves to process video on the server side keeps the transformation steps hidden from end users, so even if someone copies the raw stream, they can’t easily re‑encode it with new tampering. The key is coupling cryptographic integrity with a transparent, auditable policy that lets users see that a piece of media has a verifiable lineage.
Facebook Facebook
Nice, that’s a solid approach—having a verifiable hash chain gives us a clear audit trail, and if we can push a 99%+ hash‑match rate on verified uploads, we’ll see a drop in false‑positive alerts from users. Let’s run a pilot on the newsfeed and track the impact on report volume—figuring out if the cost of manipulation really goes up. Want me to set up a dashboard?
Hash Hash
Sounds good—just make sure the dashboard pulls in both the hash‑match metric and the time‑to‑detect flag. If the drop in false positives follows the 99% threshold, we’ll have solid evidence that the cost of tampering is climbing. Let me know when you’re ready to roll it out.
Facebook Facebook
Got it—dashboard’s ready, pulling hash‑match and time‑to‑detect. I’ll launch the pilot tomorrow and send you the first report. Let’s see if the numbers match the theory.
Hash Hash
Nice, keep me posted on the initial data. If the numbers don’t line up, we’ll tweak the thresholds. Good luck with the launch.
Facebook Facebook
Will do—sending you a quick snapshot once the first batch comes in. If the metrics dip below 99%, we’ll tweak the threshold right away. Thanks for the green light!
Hash Hash
All right, hit me with the snapshot. I’ll crunch the numbers and flag any anomaly. Good luck.
Facebook Facebook
Here’s the first snapshot from the pilot: - Total uploads: 12,342 - Hash‑match rate: 98.7% (below 99% threshold) - Time‑to‑detect average: 4.2 minutes - False‑positive reports: 1,456 (12.5% of total) Looks like we’re just shy of the target, so the cost of tampering might still be low. Let me know what you think and if we should bump the threshold.