HomeFact-checksTunis
Fact-check

Is this viral video of flooding in Tunis authentic? Our frame-by-frame verification

The 47-second clip topped 800,000 views on X and TikTok in two days. Our Image–Caption Coherence and Edited Photo Detection analyses reconstructed the origin of every shot.

M
Maryem Ben Slimane
Lead — Caption Fidelity · Published April 27, 2026 at 9:42 AM
Urban flooding

Screenshot of the viral video as it circulated on April 26 on X. Credit: "Tunisie en direct" account.

Why it matters During extreme climate events, decontextualized videos amplify fear and saturate emergency services. Verifying quickly and publishing the chain of origin is the first line of defense.

The video, first posted on Tuesday at 9:17 PM, shows submerged streets presented as filmed "tonight in Tunis." Within 90 minutes, the clip had been picked up by five pan-Arab accounts totaling 4.2 million followers. Our team began analysis at 10:04 PM.

The big picture Three key shots — out of the twelve in the video — come from a separate flood event in Bab Bhar, in September 2018. Two new shots were authenticated in Manouba this morning, around 6:12 AM.

What our modules found

How we established this

The Verify verification process combines a reverse image search (Yandex, TinEye, Google Lens) with our own visual analyses. For this video, the first archived match was found in 4 minutes via TinEye on frame 156. It pointed to a Mosaïque FM article published on September 15, 2018.

Once the source was identified, our analysts aligned each shot of the viral video with the original archive, shot by shot. Shots 8 and 11 produced no match: they were then submitted to AI-Generated Media Detection, which returned a confidence score > 92% in favor of authenticity.

Want to verify suspicious content yourself?

Upload an image, video or link — our five modules give you a score in less than 2 minutes.

Verify this content

The stakes go beyond this one case. Over the past seven days, Verify processed 421 user-flagged contents. 38% were marked as manipulated, 17% as out of context. The rest — the majority — is authentic: verification isn't just about debunking, it's also about confirming.

More to read