On August 26, 2026, a massive flood occurred along the Nepal-China border. Following the disaster, many social media users shared images and videos purportedly related to the flooding. However, some of this content was unrelated to the disaster, shared in a misleading context, or generated using artificial intelligence.
One such example is a video
shared on X on August 28, 2026, by a user named RadharamnDas. The 30-second
video purportedly shows damage to a dam in Nepal and the resulting destruction.
Within three hours of being posted, the video had been viewed more than 229,000
times, reposted 507 times, and liked more than 1,100 times.
However, a subsequent
investigation revealed that the video was not authentic and had been generated
using artificial intelligence. To assess the authenticity of the footage, the
video was examined using Gemini and HIVE Moderation.
The video was initially analyzed
using Gemini, which determined that the content had been generated using
artificial intelligence. Gemini identified several potential indicators of AI
generation, including objects that appear to morph or change unnaturally,
unnatural movements of people in the footage, and inconsistencies in lighting
and shadows.
The video was subsequently
analyzed using HIVE Moderation, which also indicated that the footage was
AI-generated.
Frames from the video were also
examined using Google’s reverse image search to determine whether the footage
had previously appeared online. The investigation revealed that the video had
been shared not only by RadharamnDas but also by numerous other users on X.
Furthermore, the footage had circulated beyond X and appeared on several other
social media platforms, demonstrating how widely the AI-generated video had
spread in connection with the Nepal floods.
In conclusion, the investigation
indicates that the viral video does not show authentic footage of dam damage
caused by the August 2026 floods along the Nepal-China border. The footage was widely
circulated across X and other social media platforms, allowing the misleading
content to reach a large audience within a short period of time.
This case demonstrates how
AI-generated content can be presented as genuine footage of an ongoing natural
disaster, potentially misleading viewers and creating confusion during a
crisis. As generative AI makes increasingly realistic visual content easier to
produce, verifying the authenticity and context of viral images and videos is
becoming even more important, particularly during breaking news events and
natural disasters.
If you suspect that a video,
image, or audio file has been created using artificial intelligence or deepfake
technology and would like free assistance in verifying its authenticity, you
may send the link to the content or the file itself to allaboutdeepfake@gmail.com
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