Fact Check: AI-Generated Video Falsely Linked to Alleged Iranian Attack on Israeli Nuclear Facility

On September 5, 2026, a 13-second video was shared on X alongside a claim that Iran had targeted a nuclear facility in Israel. The video was presented as footage related to the alleged attack. Both the video and the accompanying claim were shared by an X user named IranReportsX. The post has been viewed more than 43,700 times, reposted 36 times, and liked 188 times.

 

However, a subsequent investigation indicated that the footage was generated using artificial intelligence. To assess both the authenticity of the video and the accuracy of the accompanying claim, the content was examined using Gemini and HIVE Moderation.

The video and its accompanying claim were first analyzed using Gemini. The analysis identified indicators consistent with AI-generated content. Gemini also found no evidence in national or international news coverage to substantiate the claim that Iran had targeted an Israeli nuclear facility.

 

The video was subsequently examined using HIVE Moderation. Consistent with the Gemini analysis, HIVE Moderation also identified indicators suggesting that the footage was AI-generated.

Frames from the video were additionally examined using Google’s reverse image search to determine whether the footage had previously appeared online. The investigation revealed that the video had circulated before the September 5 post, contradicting the implication that it documented a newly reported attack. The earliest instance identified during the investigation was an X post by a user named EbrahimZolkxy on August 23, 2026. The video was also found circulating on other social media platforms, including TikTok, Instagram, and Facebook.

Taken together, the findings indicate that the video does not provide authentic visual evidence of the alleged Iranian attack on an Israeli nuclear facility. The footage shows indicators of AI generation and had already circulated online before the September 5 claim. Furthermore, no supporting reports of the alleged attack were identified in the news sources examined during the investigation.

In conclusion, the investigation indicates that the viral video does not authentically document an Iranian attack on an Israeli nuclear facility. Analyses using Gemini and HIVE Moderation identified indicators consistent with AI-generated content. Furthermore, the video had already circulated online before September 5, 2026, undermining the claim that it showed the alleged attack reported that day.

This case demonstrates how AI-generated footage can be combined with unverified claims about military events and presented as breaking news. It highlights the importance of verifying both the authenticity and original context of viral footage, particularly during conflicts and periods of heightened 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

Fact Check: AI-Generated Video Falsely Presented as Ukrainian Soldiers Abusing a Civilian

On September 4, 2026, a 16-second video was posted on X by a user named mog_Russ. The video allegedly shows Ukrainian soldiers beating a prisoner. The accompanying post claims that a civilian being held at a Ukrainian military conscription center was subjected to severe physical violence. The video has been viewed more than 44,500 times, reposted 59 times, and liked 173 times.

 

However, a subsequent investigation indicated that the video was not authentic and had been generated using artificial intelligence. To assess its authenticity, the footage was analyzed using three AI-content detection tools: HIVE Moderation, UncovAI, and MeVer. All three tools identified indicators consistent with AI-generated content.

The video was first examined using HIVE Moderation, which found significant indications that the footage had been generated using artificial intelligence.

 

The video was then analyzed using UncovAI, another AI and deepfake detection tool. Consistent with the HIVE Moderation results, UncovAI also identified the footage as AI-generated.

Because the video appears relatively realistic, it was additionally examined using MeVer, another tool for detecting deepfakes and AI-generated content. MeVer similarly identified the video as AI-generated. Its analysis also detected evidence of face-swapping, suggesting that the footage incorporates multiple forms of synthetic manipulation.

Taken together, the findings from all three detection tools indicate that the video should not be considered authentic footage of Ukrainian soldiers abusing a civilian at a military conscription center. Instead, the available evidence suggests that the video was artificially generated or manipulated and subsequently presented as documentation of a real event.

In conclusion, the investigation indicates that the viral video does not authentically depict Ukrainian soldiers abusing a civilian at a military conscription center. Analyses using HIVE Moderation, UncovAI, and MeVer identified indicators consistent with AI-generated content, while MeVer also detected signs of face-swapping.

This case demonstrates how realistic AI-generated footage can be used to fabricate alleged human rights abuses and present them as evidence of real events. It highlights the importance of carefully verifying emotionally charged videos, particularly those circulating during armed conflicts, before accepting or sharing them as authentic.

 

 

 

 

 

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

Fact Check: AI-Generated Video of Grieving Children Falsely Linked to the 2026 Nepal Floods

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 30, 2026, by a user named LostInMaybe0. The 26-second video allegedly shows two young children who lost their family in the floods in Nepal. The video is particularly emotional, as it appears to portray the children grieving the loss of their family. In addition, the footage appears highly realistic, which may make it difficult for viewers to recognize that it is AI-generated. The video has been viewed more than 508 times, reposted twice, and liked once.

 

 

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, HIVE Moderation, and BioID.

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 morphing, anatomical anomalies, and unnatural elements in the background.

The video was subsequently analyzed using HIVE Moderation, which also indicated that the footage was AI-generated.

 

Because the footage appeared highly realistic, it was additionally analyzed using BioID, another AI detection tool. The BioID analysis produced findings consistent with those of Gemini and HIVE Moderation, concluding that the video had been generated using artificial intelligence.

 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 LostInMaybe0 but also by numerous other users on X. Furthermore, the footage had circulated beyond X and appeared on several other social media platforms. For example, the video was also uploaded to Instagram.

Notably, the video also appeared on the websites of news organizations. For example, NTV published the footage on its website on August 30 under the headline “Nepal Disaster Little Boy Searches Parents Holding Sister.” The circulation of the video by news outlets is particularly significant because it demonstrates how realistic AI-generated content can move beyond social media and enter the broader news ecosystem. As a result, such content may reach audiences who assume that footage published by established media organizations has already been verified.

In conclusion, the investigation indicates that the viral video does not authentically depict two children who lost their family during the August 2026 floods in Nepal. Analyses conducted using Gemini, HIVE Moderation, and BioID consistently indicated that the footage was generated using artificial intelligence. Despite being AI-generated, the video appears highly realistic and uses an emotionally powerful narrative involving children who supposedly lost their family in a real natural disaster.

The fact that the video circulated across multiple social media platforms and was subsequently published by a news organization demonstrates how AI-generated content can move from social media into the broader news ecosystem. This case also illustrates how emotionally compelling AI-generated imagery can exploit real human tragedies, potentially making misleading content more persuasive and more likely to be shared. As generative AI produces increasingly realistic footage, verifying the authenticity, source, and context of visual content is essential—particularly during natural disasters and other breaking news events.

 

 

 

 

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

Fact Check: AI-Generated Flood Video Falsely Presented as Footage of the 2026 Nepal Floods

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 amanda_npo. The 10-second video purportedly shows scenes from the flood disaster in Nepal. The video has been viewed more than 665 times, reposted 15 times, and liked 51 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 UncovAI.

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 unrealistic water dynamics, unnatural movement of objects, and visual rendering artifacts.

The video was subsequently analyzed using UncovAI, 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 amanda_npo but also by numerous other users on X. Furthermore, the footage had circulated beyond X and appeared on several other social media platforms. For example, the video was uploaded to YouTube by a user named bmcvlogs88 and was also shared by users on Instagram.

Notably, the video also appeared on the official websites of some news organizations. For example, CNN Türk published the footage on its website under the headline “Footage of the Flood Disaster in Nepal.” The circulation of the video by news outlets is particularly significant because it demonstrates how AI-generated content can move beyond social media and enter the broader news ecosystem, potentially reaching audiences who may assume that footage published by established media organizations has already been verified.

In conclusion, the investigation indicates that the viral video does not authentically depict the August 2026 floods in Nepal. Analyses conducted using Gemini and UncovAI identified multiple indicators suggesting that the footage was generated using artificial intelligence, including unrealistic water dynamics, unnatural object movements, and visual rendering artifacts.

Despite being AI-generated, the video circulated across multiple social media platforms and was even published by some news outlets as footage of the Nepal floods. This case demonstrates how AI-generated content can move rapidly from social media into the broader information ecosystem and potentially be mistaken for authentic documentation of a real-world disaster. It also highlights the increasing importance of verifying the authenticity, source, and context of visual content before publication, particularly during breaking news events when misleading or fabricated footage can spread rapidly.

 

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

Fact Check: AI-Generated Elephant Rescue Videos Falsely Linked to the 2026 Nepal Floods

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 29, 2026, by a user named freddyzur. The 10-second video allegedly shows an elephant rescuing two children during the floods in Nepal. The video has been viewed more than 211,000 times, reposted over 3,100 times, and liked more than 12,000 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 HIVE Moderation, which indicated that the content was AI-generated.

Frames from the video were also analyzed 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 freddyzur but also by numerous other users on X. Furthermore, the footage had spread beyond X and appeared on various other social media platforms. The investigation also identified numerous similar videos, particularly on X, purportedly showing elephants rescuing people during the floods in Nepal.

Another example is a 15-secondvideo posted on X on August 28, 2026, by a user named izzetcapa. The video allegedly shows an elephant rescuing a person from floodwaters in Nepal. It has been viewed more than 408,400 times and liked over 18,000 times.

 

However, a subsequent investigation revealed that this video was also not authentic and had been generated using artificial intelligence. To assess its authenticity, the footage was analyzed using HIVE Moderation, which indicated that the video was AI-generated.

 

Taken together, these examples demonstrate a broader pattern of AI-generated videos depicting elephants allegedly rescuing people during the Nepal floods. Although presented as footage of real rescue operations, analysis indicates that these videos were artificially generated and circulated in connection with an actual natural disaster.

In conclusion, the investigation indicates that the viral videos do not authentically depict elephants rescuing people during the August 2026 floods in Nepal. Analysis conducted using HIVE Moderation identified the footage as AI-generated. The presence of multiple similar videos circulating across X and other social media platforms also demonstrates how AI-generated content can rapidly spread during a major natural disaster and be presented as genuine footage of real events.

These examples highlight a growing form of disaster-related disinformation in which generative AI is used to create emotionally compelling but fabricated scenes and associate them with an ongoing crisis. Such content can attract significant engagement because of its dramatic and emotional nature, while potentially misleading viewers about what actually occurred. The widespread circulation of these videos underscores the importance of verifying the authenticity, source, and context of viral footage before sharing it, particularly during natural disasters and other breaking news events.

 

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

Fact Check: AI-Generated Video Falsely Shows a Warplane Bombing a Dam During the 2026 Nepal Floods

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 27, 2026, by a user named UrbnIre. The 27-second video allegedly shows a warplane bombing a dam in Nepal, causing the structure to collapse. The video has been viewed more than 12,600 times, reposted 18 times, and liked 25 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 unrealistic water dynamics, unnatural jet movement, and visual rendering artifacts.

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 UrbnIre but also by numerous other users on X. Furthermore, the footage had circulated beyond X and appeared on several other social media platforms. For example, the video was uploaded to YouTube by a user named RizwanJokhio-k1d4o and was also shared by users on Facebook.

In conclusion, the investigation indicates that the viral video does not authentically depict a warplane bombing a dam in Nepal during the August 2026 floods. Analyses conducted using Gemini and HIVE Moderation identified multiple indicators suggesting that the footage was generated using artificial intelligence, including unrealistic water dynamics, unnatural aircraft movement, and visual rendering artifacts. The video was also found circulating across multiple social media platforms, demonstrating how quickly AI-generated content can spread during a major disaster.

This case illustrates how a real natural disaster can be exploited as the backdrop for entirely fabricated visual content. By presenting AI-generated footage as evidence of an event that did not occur, such content can mislead viewers, create confusion, and distort public understanding of an unfolding crisis. It therefore highlights the importance of verifying both the authenticity and context of viral footage before sharing it, 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

 

Fact Check: AI-Generated Dam Disaster Video Falsely Linked to the 2026 Nepal Floods

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

Fact Check: Viral Tiananmen Square Video Supporting Taiwan Independence Is AI-Generated

 

On August 23, 2026, a user named J4207Jin posted a 10-second video on X. The video appears to show a person holding a Taiwanese flag and chanting slogans in Tiananmen Square. The person can be heard saying, “Taiwan is not part of China, and it is independent.” The video has been viewed more than 30,000 times, reposted 13 times, and liked 64 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 features as potential indicators of AI generation, including inconsistencies in lighting and shadows, unnatural movements of people in the video, and irregularities in the background.

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 was not first shared on August 23, 2026, but had circulated on different social media platforms several months earlier. The earliest instance identified during the investigation was an X post by a user named MinMin89485072 on January 1, 2026. The video was later shared on Instagram by a user named hellotaiwanese on January 4, 2026.

In conclusion, the investigation indicates that the viral video does not authentically depict a person holding a Taiwanese flag and making pro-Taiwan independence statements in Tiananmen Square. Analyses conducted using Gemini and HIVE Moderation identified indicators suggesting that the footage was generated using artificial intelligence. Furthermore, reverse image searches revealed that the video had circulated online months before the August 23, 2026 post, with the earliest identified version dating back to January 1, 2026. This case demonstrates how AI-generated content can be presented as footage of a real-world political event and potentially mislead viewers. It also highlights the importance of verifying both the authenticity and original context of viral videos, particularly when they involve politically sensitive issues.

 

 

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 Falsely Claims to Show Iranian Missiles Prepared for Attack on Israel

On August 24, 2026, a user named IRGC_Press posted a 15-second video on X. The video shows military vehicles transporting a large missile decorated with Iranian flags, accompanied by police escort vehicles.

The post accompanying the video stated: “Breaking: Iran announces it will use multi-warhead missiles with massive destructive power in waves 92 and 93 of its attacks on Israel tonight. It will be devastating for the Zionists, and other surprises have been prepared for them!”

 

The video and accompanying post have been viewed 5,382 times, reposted 55 times, and liked 159 times.

However, a subsequent investigation revealed that the video was not authentic and had been generated using artificial intelligence. IRGC_Press regularly shares false or misleading information using AI-generated content on X. To assess the authenticity of the footage, the video was examined using Grok and HIVE Moderation.

The video was initially analyzed using Grok, which determined that the content had been generated using artificial intelligence. It was subsequently analyzed using HIVE Moderation, which also indicated that the footage was AI-generated.

 

Frames from the video were also analyzed using Google’s reverse image search to determine whether the footage had previously appeared online. The analysis revealed that the video was first shared by a Facebook user on April 4, 2026, and was subsequently circulated on various other social media platforms at different times.

In conclusion, the investigation indicates that the video does not depict authentic footage of Iranian military vehicles transporting a multi-warhead missile for an imminent attack on Israel. Analyses conducted using Grok and HIVE Moderation suggest that the video was generated using artificial intelligence. Furthermore, reverse image searches revealed that the footage had circulated online months before the claim posted on August 24, 2026, further undermining the assertion that it showed preparations for an attack that night. This case demonstrates how AI-generated content can be combined with urgent and alarming claims to create misleading narratives and potentially influence public perceptions during periods of heightened geopolitical tension. It also highlights the importance of verifying both the authenticity and original context of viral visual content before accepting or sharing claims associated with 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

Real Video, False Claim: Disinformation in the Colombian Elections

The Colombian elections, held in two rounds—the first on May 31, 2026, and the second on June 21, 2026—were won by Abelardo de la Espriella, a right-wing candidate supported by U.S. President Donald Trump. Throughout the election process and its aftermath, many people posted on various social media platforms about the elections and their results. While some of these posts reflected factual information, others contained misleading content created for disinformation purposes.

One example of such misleading content is a video posted on X on June 22, 2026. The 13-second video was shared by SALVARANM, who claimed that supporters of candidate Iván Cepeda Castro burned Abelardo de la Espriella’s ballots in Plaza Mayor in Medellín. The video was viewed more than 250,400 times and received over 4,800 likes.

 

The video shared on X was first examined to determine its authenticity. To this end, it was analyzed using HIVE Moderation. The analysis revealed that the video contains real footage and was not generated by artificial intelligence. In other words, it was assessed as depicting a real event.

To better understand the context of the event and verify the accuracy of the claims, both Grok and Gemini were used for further analysis. Both tools concluded that while the video is authentic, the claims made in the post are false and misleading. Gemini specifically noted that the small burning object seen in the video is not an official ballot, pointing out that ballots used in Colombia are significantly larger.

Similarly, Grok found that although the video contains real footage, there is no evidence to support the claims made in the post. According to Grok, the assertion that the video shows ballots being burned cannot be verified, and the footage is being misrepresented.

In conclusion, the video contains real footage and does not appear to be AI-generated. However, investigations show that it does not depict the burning of election ballots belonging to Abelardo de la Espriella, as claimed. This example demonstrates that even authentic footage can be used to mislead the public when it is presented with false or unverified claims. It is therefore crucial to verify not only the authenticity of such footage but also the accuracy of the claims that accompany it.

Video Allegedly Showing Recent Attacks in Ukraine Is Actually From 2017

On June 21, 2026, a 19-second video was posted on X by @MesutUdaySaddam. The post claimed that the video showed Russia’s recent missile attacks on Ukraine on June 21 and the resulting explosions. The video has been viewed more than 81,300 times and has received 400 likes.

 

The video was investigated for authenticity because it contained elements that could suggest it was created using artificial intelligence. It was analyzed using Grok, Google SynthID, and HIVE Moderation tools. All three tools confirmed that the footage was real and not AI-generated. In other words, the video shared on X was determined to depict an actual event.

However, analyses by both Grok and Gemini indicate that the video does not show recent Russian attacks on Ukraine. Instead, it contains footage from an event that occurred in 2017 or earlier.

To determine the video’s actual time frame, it was further examined using Google’s reverse image search. This analysis revealed that the footage is from a fire and explosion that occurred on March 23, 2017, at a military ammunition depot in Balakliya, in Ukraine’s Kharkiv region.

In conclusion, the video is not AI-generated and contains real footage. However, it does not depict the Russian missile attacks on Ukraine on June 21, 2026, as claimed. Presenting footage from a different event in 2017 as if it were current demonstrates that the content is misleading. This example illustrates that even authentic footage can be used for disinformation when it is shared with incorrect information about the date, location, or event.

The Video Allegedly Showing Captured Ukrainian Soldiers Was Generated Using Artificial Intelligence

On June 9, 2026, a 59-second video was posted on X by @AdrianoValui. The video purportedly shows Ukrainian soldiers taken prisoner by Russian forces. Within four hours of being shared, the footage had been viewed more than 28,000 times, received 573 likes, and was reposted 192 times.

 

 

However, subsequent investigation revealed that the video was not authentic and had been generated using artificial intelligence technologies. The authenticity of the footage was examined using Grok, the Media Analysis, Verification, and Retrieval Group (MeVer), and HIVE Moderation.

Initial analysis conducted with Grok suggested that the video was not genuine, indicating that it had likely been generated using AI and may have been circulated for pro-Russian propaganda purposes. Similarly, the assessment carried out by MeVer identified multiple visual inconsistencies commonly associated with AI-generated content, further supporting the conclusion that the video had been synthetically produced.

The footage was subsequently analyzed using HIVE Moderation, which confirmed that it had been generated using artificial intelligence, consistent with the findings from Grok and MeVer.

 

Moreover, the visible TikTok logo in the video indicates that the content was not originally posted on X and had previously circulated on other social media platforms. A reverse image search was therefore conducted, revealing that the video was first shared on TikTok on November 4, 2025, by “liliakv.” It was later posted on Facebook on December 16, 2025, by a user named “Petruss Krsska,” and continued to circulate through reposts across TikTok and Facebook on various dates.

 

 

In conclusion, the video allegedly depicting Ukrainian soldiers captured by Russian forces was generated using artificial intelligence technologies. The fact that the footage circulated across multiple platforms for several months demonstrates how AI-generated disinformation can persist over extended periods and be repeatedly presented as authentic. Particularly during times of war and conflict, it is essential to verify the source and accuracy of 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.

 

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.