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.

The Image Allegedly Showing Protests in Tirana Was Generated Using Artificial Intelligence

Protests that began in Zvernec, Albania, on May 23, 2026, quickly spread to several cities across the country. On May 30, 2026, thousands of demonstrators gathered in the capital, Tirana, to protest the sale of a beach in Zvernec as part of a tourism project reportedly linked to U.S. President Donald Trump’s daughter, Ivanka Trump, and son-in-law, Jared Kushner. These protests have been publicly referred to as the “Flamingo Revolution.”

Content related to the protests in Albania has been widely circulated across various social media platforms. One such post was shared on June 4, 2026, by the user @SalisIlaria on X. The image posted by the user received over 52,000 views, more than 2,500 likes, and 734 reposts.

 

 

The image was claimed to depict tens of thousands of people participating in protests in Tirana. However, subsequent investigation revealed that the photograph was not authentic and had been generated using artificial intelligence. The image was analyzed using HIVE Moderation, which confirmed that it was AI-generated.

 

In conclusion, the photograph shared on X on June 4, 2026, allegedly showing protests in Tirana, was artificially generated. This case demonstrates how AI-generated images can be presented as authentic by associating them with ongoing political and social events. Therefore, it is essential to verify the accuracy of visual content—particularly in the context of politically sensitive and widely discussed events—by consulting reliable sources and using technical verification tools.

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.

Real Video, False Claim: Tel Aviv Post Contains Disinformation

On May 18, 2026, a 25-second video was posted on X by @IranNewsFeedX. The post claimed that the footage showed damage caused by an explosion in Tel Aviv.

The video received more than 46,800 views, over 2,300 likes, and more than 995 reposts. To determine whether the footage had been generated using artificial intelligence, it was analyzed using Google SynthID and HIVE Moderation. Both tools indicated that the video was authentic and not AI-generated. The footage clearly displays a sign reading “Royal Yak.” However, further investigation found no business by that name operating in Tel Aviv. Moreover, no reputable news sources reported an explosion in Tel Aviv on the date the video was shared.

 

To verify the origin of the footage, selected frames were examined using Google’s reverse image search. The analysis revealed that the images were taken from an explosion and subsequent fire that occurred on January 16, 2025, at a casino located in Plaza Cinépolis in Culiacán, Mexico.

In conclusion, while the video contains authentic footage and was not generated using artificial intelligence, it does not depict an explosion in Tel Aviv. Instead, the video shows a real event that occurred in a different country and at a different time. By presenting genuine footage in a misleading context, the post constitutes an example of disinformation. This case demonstrates that even authentic visual content can be manipulated through false attribution, underscoring the importance of verifying not only whether images are real but also where and when they were recorded.

 

 

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 Robot Dog Video That Looks Like Science Fiction Is Not AI-Generated

 

On June 3, 2026, a 32-second video was posted on X by a user named @myinvesthor. The video allegedly shows footage from a military exercise in China. It depicts four-legged, armed robotic dogs equipped with submachine guns mounted on their backs, reportedly being tested by a Chinese defense company. The accompanying post states that these robots are designed to enhance soldier safety in conflict zones and provide operational superiority through direct fire support.

 

 

At first glance, the video resembles a scene from a science fiction movie. Moreover, certain visual elements could suggest that it was generated using artificial intelligence. For this reason, its authenticity was carefully examined. The footage was analyzed using Google SynthID and HIVE Moderation, both AI-content detection tools. The results from both analyses indicated that the video contains authentic footage and was not generated using artificial intelligence. In other words, the video posted on X appears to be genuine.

The video also contains Chinese text and multiple watermarks. An examination of these elements suggests that the footage may have originated from a commercial or government-sponsored promotional event organized by a defense technology company specializing in unmanned tactical systems.

To further identify the manufacturer of the robotic systems shown in the video, individual frames were analyzed using Google’s reverse image search. The analysis revealed that the footage was first shared on April 1, 2026, by @Eng_china5 on X. It was also determined that the robots were produced by a private company operating in Shandong province, China.

In conclusion, the analysis indicates that the video contains authentic footage and was not generated using artificial intelligence. The armed robotic systems featured in the video highlight the increasing integration of autonomous and semi-autonomous technologies into military operations. In this respect, the footage provides insight into next-generation systems that may shape future conflict environments.

 

 

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.