A video has circulated in South Korean social media posts that claim it shows a real-life car chase where a vehicle purportedly dodges the police by jumping over a road barrier. The claim is false: the video has been digitally created using 3D graphics software and does not show an actual car chase.
The video was shared here on June 6, 2021 in a post on Daum Cafe, a popular social media platform in South Korea.
The post's Korean-language title translates to English as: "Real-life situation..." The caption below the video reads: "Is it a [Mercedes-Benz] G Wagon?"
Screenshot of misleading post on Daum Cafe. Captured June 7, 2021.
The video appears to show a black car chashed by the police. The car drives up a ramp, flies above a barrier and safely lands on the other side of the road.
The claim is false: the video has been digitally created using 3D graphics software.
Through a Google reverse image search, AFP found the original video uploaded here by an Instagram user called "2ncs" whose profile description reads: "Graphic Designer. Just playing with reality".
The video caption includes hashtags such as "Autodesk" and "3dsmax".
Autodesk is an American software company.
3ds Max is a professional computer graphics program widely used by designers to create 3D animations and models.
Screenshot of the original post on Instagram. Captured June 7, 2021.
Below is a screenshot comparison of the video shared in the misleading posts (L) and the original video from Instagram (R):
Screenshot comparison of the video shared on Daum Cafe (L) and the original video from Instagram (R)
This video, uploaded to YouTube by the same graphic designer called "2ncs", shows the making of the car chase video through 3D rendering software.
The video has inserted computer graphics of three vehicles onto a video footage of a real street.
Updated On: 2021-06-09T14:23:06+05:30
Claim Review : Video shows a car escaping chasing police by jumping over a road barrier.
Claimed By : Posts on Daum Cafe, Bbaggome, Tcafe2, Ajegag and Naver
Fact Check : False