Different Wars, Same Fake Video

On June 8, 2026, an 11-second video was posted on X by @IsraelSpoofX. The accompanying claim stated that Israeli air defense systems had detected and destroyed five Iranian warplanes. The video was viewed more than 1,600,000 times, received over 4,000 likes, and was reposted 926 times.

 

 

The same video was posted again on June 9, 2026, this time by @RussianArmy_ on X. However, the June 9 post claimed that the footage showed Russian air defense systems detecting and destroying five Ukrainian warplanes en route to attack Russia. Although both posts used identical footage, they attributed it to different conflicts and countries. The June 9 post received over 145,000 views, more than 1,400 likes, and 439 reposts.

However, the video shared by these two users and associated with two separate wars is not authentic; it was generated using artificial intelligence. The authenticity of the footage was examined using Grok, Google SynthID, and HIVE Moderation.

Initial analysis conducted with Grok indicated that both the video and the accompanying claims were not credible. Similarly, Google SynthID identified multiple visual and physical inconsistencies characteristic of AI-generated content. These findings strongly suggested that the footage had been synthetically produced.

 

The video was subsequently analyzed using HIVE Moderation, which confirmed that it was AI-generated, consistent with the results obtained from Grok and Google SynthID.

 

 

In conclusion, the video allegedly depicting Israel destroying Iranian warplanes and Russia destroying Ukrainian warplanes was generated using artificial intelligence. The recirculation of identical AI-generated content under different geopolitical narratives illustrates how easily disinformation can spread across social media platforms. This case once again underscores the importance of verifying visual content—particularly in relation to international conflicts and military developments—using reliable sources and technical detection tools.

 

 

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.

Videos of Soldiers Crying Posted on X Contain Disinformation

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.

Images and Video Purporting to Show Iran Capturing Israeli and American Soldiers Were Generated Using Artificial Intelligence

On April 12, 2026, a 36-second video related to the war involving Iran, Israel, and the United States was posted on X under the username @MariaAlkaff_. The video purportedly shows Iranian soldiers capturing Israeli soldiers and depicts the treatment of the captured personnel. The post received 337 comments, was reposted 1,300 times, garnered 3,200 likes, and accumulated approximately 117,000 views.

 

However, the video is not authentic and was generated using artificial intelligence. It was initially analyzed using Google SynthID, which identified multiple indicators suggesting AI generation. In particular, inconsistencies in content, contextual coherence, and visual accuracy indicated that the footage had been produced using various AI-based tools.

In addition to SynthID, the video was examined using HIVE Moderation, another AI detection platform. The results from HIVE Moderation corroborated the initial findings, confirming that the video was generated through artificial intelligence.

 

 

A similar image was also shared on Facebook and Instagram on April 3, 2026. The accompanying claim alleged that the image depicted an F-35 pilot shot down by Iran on April 3, 2026, during interrogation.

Like the video shared on April 12, this image was also generated using artificial intelligence. Analysis conducted with SynthID revealed several anomalies—such as irregular physical features, lighting inconsistencies, and unusual environmental details within the interrogation setting—indicating AI production. Further examination using HIVE Moderation determined that the image was 92.5% likely to have been AI-generated.

 

In conclusion, both the image shared on April 3 and the video posted on April 12 are not authentic; both were created using artificial intelligence.

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.

The Same AI-Generated Video Reposted with Different War Claims

On May 4, 2026, several news websites published reports alleging that Iran had struck a U.S. warship. However, the U.S. Central Command (CENTCOM) denied these claims and issued an official statement confirming that no such attack had occurred.

Despite this clarification, numerous social media users—primarily on X—shared videos purporting to show Iran attacking a U.S. naval vessel. One such video was posted on May 4, 2026, by the user @almohamadawi31.

Within 15 hours, the video had been viewed more than 107,000 times, reposted 543 times, and received over 1,400 likes. Subsequent analysis revealed that the footage was not authentic but had been generated using artificial intelligence. A review conducted using HIVE Moderation confirmed that the video was AI-generated.

The same AI-generated video, originally shared on May 4, 2026, was reposted on June 4, 2026, by the user @RussianArmys. In this instance, the accompanying claim alleged that Russia had launched a devastating missile attack on the U.S. aircraft carrier USS Abraham Lincoln, completely destroying the vessel and killing more than 200 personnel. The reposted video received over 107,200 views and more than 309 likes.

However, technical verification confirmed that the reposted footage was identical to the video circulated on May 4 and was entirely AI-generated. This case illustrates how the same synthetic content can be repurposed at different times and attributed to entirely different conflicts. Moreover, a review of posts from the account @RussianArmys indicates a consistent pattern of sharing unverified claims, fake news, disinformation, and AI-generated media.

In conclusion, both the video claiming that Iran attacked a U.S. warship and the video alleging a Russian attack on the USS Abraham Lincoln were generated using artificial intelligence. The repeated circulation of identical AI-generated content under different geopolitical conflicts demonstrates how easily synthetic disinformation can spread across social media platforms. Therefore, especially in the context of military conflicts and international crises, it is essential to verify visual content using reliable sources and technical detection tools.

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.

The News Claiming That 119 Israeli Soldiers Were Arrested Was Generated Using Artificial Intelligence

An image posted on Facebook regarding Israel’s ground operation against Lebanon on April 9, 2026, appeared to be an image accompanying a news report.

 

 

The image was subsequently shared by numerous accounts on X and Instagram. On X in particular, a version posted by the user @Rizvana_Raza on April 10 was viewed 33,700 times, reposted 683 times, and received more than 2,000 likes.

According to the accompanying claim, 119 Israeli Army logistics personnel, along with trucks carrying ammunition and fuel, had surrendered to Hezbollah. The post described this as one of the largest logistical surrenders in recent history and asserted that Israel’s supply lines had collapsed.

However, the image is not authentic and was generated using artificial intelligence. The photograph was first analyzed using Google SynthID, which identified multiple indicators of AI generation. In particular, irregularities in the physical features of individuals depicted in the image—such as unnatural hand and facial structures—along with inconsistencies in text, logos, and background details, strongly suggested synthetic production through various AI tools.

The image was also analyzed using HIVE Moderation, which independently confirmed that it had been created using artificial intelligence.

 

 

A reverse image search further indicated that the alleged news story was not published by any recognized or reputable news organization. Consequently, it was determined that both the image and the accompanying claim, shared on Facebook on April 9 and later on X on April 10, were not authentic and had been generated using artificial intelligence.

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.

AI-Generated Video Circulates on Reddit

Following the war that began with the U.S. and Israel’s attack on Iran on February 28, 2026, claims that Israel would target Türkiye after Iran have become a frequently discussed topic in Turkish public discourse. Numerous experts have shared their views on this issue across various platforms.

However, the debate has not been limited to experts; it has also become a widespread topic of public discussion. The heightened attention from both experts and the general public has led to an increase in social media posts suggesting that Türkiye would be the next target after Iran.

Not all of these posts reflect accurate information; some contain disinformation, fabricated claims, or misleading interpretations. One such post was shared on May 6, 2026, on Reddit by a user identified as “borsavefon.” The video purportedly showed Israeli journalist Yoni Ben-Menachem making statements about Türkiye.

 

Within three hours, the video received 45 comments and more than 44 upvotes. However, subsequent analysis determined that the footage had been produced using deepfake technology. The video was first examined using Google SynthID, which identified multiple indicators of AI generation. Notably, the speaker’s lip movements in the first half of the video appeared unnatural, and there were observable inconsistencies between the audio and visual synchronization—common characteristics of deepfake content.

The video was also analyzed using HIVE Moderation, another AI detection tool. The results corroborated the findings from Google SynthID, confirming that the content had been generated using AI algorithms.

 

In conclusion, the video posted on Reddit on May 6 was artificially generated and does not depict authentic statements. This case underscores the importance of verifying content circulating on social media platforms, particularly during periods of geopolitical tension and uncertainty. It also highlights the growing need for vigilance against AI-generated manipulative content.

 

 

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.

AI-Generated Explosion Video Circulates on Social Media

 On May 31, 2026, a 13-second video was posted on X by @Persianserene1. The post claimed that the footage depicted an explosion following an attack on Iran by U.S. and Israeli aircraft.

The video garnered significant attention, accumulating over 94,100 views, more than 4,700 likes, and over 1,300 reposts. However, subsequent investigation revealed that the footage was generated using artificial intelligence. An analysis conducted with HIVE Moderation confirmed that the content was AI-generated.

 

The post on X indicated that the video had previously been shared on Instagram, suggesting that it did not originate on X and had circulated across multiple social media platforms. A reverse image search was therefore conducted, which determined that the video was first uploaded to Instagram on May 30, 2026, by a user identified as “javadi__1364.”

In conclusion, the short video shared on X on May 31 was artificially generated and does not depict a real event. This case illustrates how AI-generated content can be recirculated by different users across various social media platforms for disinformation purposes. It underscores the critical importance of verifying the authenticity of visual content, particularly during periods of conflict and geopolitical tension.

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.