On June 8, 2026, a 15-second video was posted on X by @aattzz23. The video depicts a Ukrainian soldier, allegedly 23 years old, crying. The accompanying post claims that the soldier had been sent to the front lines and was therefore in distress. Within two hours, the video was viewed 732 times and received 34 likes.
However, subsequent investigation
revealed that the video was not authentic and had been generated using
artificial intelligence. The footage was analyzed using Google SynthID and HIVE
Moderation, both AI-content detection tools. The results from both analyses
confirmed that the video was AI-generated.
AI-generated videos portraying
soldiers in emotional distress are not limited to the context of the war in
Ukraine. Similar content has circulated on social media in relation to other
conflicts. For example, on June 1, 2026, a
nine-second video was shared on X by the user @DailyChinaNews. The video, which has
been viewed more than 16,600 times and received 339 likes, shows a female U.S.
soldier crying and stating that she misses her family.
Like the video shared on June 8,
the June 1 video was also created using artificial intelligence. Analysis
conducted using Google SynthID and HIVE Moderation determined that the footage
was AI-generated. In particular, the SynthID analysis identified visual and
physical inconsistencies characteristic of synthetic media.
In conclusion, both videos
allegedly depicting Ukrainian and American soldiers crying were generated using
artificial intelligence. These cases demonstrate how emotionally charged
AI-generated content can be employed to influence public opinion during periods
of war and conflict. It is therefore essential to verify the authenticity of
content—especially material involving soldiers, civilians, or alleged victims
of war—through reliable sources and technical detection tools before sharing
it.
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.