Ahmet Yiğitalp Tulga: social media

Showing posts with label social media. Show all posts

Wednesday, September 2, 2026

Fact Check: AI-Generated Video of a Girl’s Rescue 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 September 1, 2026, by a user named alfuratyalatiqe. The 30-second video allegedly shows a young girl being rescued from beneath rubble during the floods in Nepal. The video is emotionally striking, as the girl is completely covered in mud and appears to be in distress. Furthermore, the footage appears highly realistic, potentially making it difficult for viewers to recognize that it was generated using artificial intelligence. The video has been viewed more than 6,200 times, reposted five times, and liked 30 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 and UncovAI.

The video was initially analyzed using HIVE Moderation, which identified significant indicators that the footage had been generated using artificial intelligence.

The video was subsequently analyzed using UncovAI. Consistent with the findings from HIVE Moderation, UncovAI also identified the footage as AI-generated. The results from both detection tools therefore provide evidence that the video does not authentically document a rescue operation during the Nepal floods.

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 alfuratyalatiqe 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. Images or footage from the video were additionally shared on Facebook and YouTube.

The circulation of the same AI-generated content across multiple platforms demonstrates how synthetic disaster footage can spread beyond a single social media account and potentially reach substantially larger audiences. Its realistic appearance and emotionally compelling subject matter may further increase the likelihood that viewers perceive the footage as authentic documentation of a real rescue operation.

In conclusion, the investigation indicates that the viral video does not authentically show a young girl being rescued during the August 2026 floods in Nepal. Analyses using HIVE Moderation and UncovAI identified the footage as AI-generated.

This case demonstrates how realistic and emotionally compelling AI-generated videos can be falsely associated with real disasters and spread across social media. It highlights the importance of verifying the authenticity and context of viral footage 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

Tuesday, September 1, 2026

Fact Check: Misleading Nepal Flood Video Mixes AI-Generated Content With Real Footage

One such example is a video shared on X on August 31, 2026, by a user named ReddyKriti70747. The 30-second video allegedly shows people being rescued from the floods in Nepal. After being posted, the video was viewed more than 573,100 times, reposted over 2,200 times, and liked more than 13,000 times.

However, a subsequent investigation revealed that the video combines AI-generated content with authentic but unrelated footage. Specifically, the first nine seconds of the video were identified as AI-generated, while the remaining segments appear to contain authentic footage unrelated to the Nepal floods. To assess the authenticity of the content, the video was examined using Gemini and UncovAI.

The video was initially analyzed using Gemini, which identified AI-generated content in the footage. Gemini highlighted several potential indicators of AI generation, including physical anomalies and inconsistencies between the audio and visual elements.

The footage was subsequently analyzed using UncovAI, which also detected AI-generated content. The findings from both tools therefore indicate that the video does not consist entirely of authentic documentation of the Nepal floods. Instead, it combines an AI-generated segment with authentic but unrelated footage and presents them together as if they depict rescue operations during the disaster.

This combination of synthetic and authentic but unrelated footage makes the video particularly misleading, as genuine visual elements can lend credibility to fabricated content and make it more difficult for viewers to distinguish between real and AI-generated scenes.

In conclusion, the video is misleading. It does not authentically document rescue operations during the August 2026 Nepal floods. The first nine seconds were identified as AI-generated, while the remaining segments appear to consist of authentic but unrelated footage. By combining AI-generated scenes with real footage from unrelated events and presenting them as a single account of the Nepal floods, the video creates a false impression of what actually occurred.

Monday, August 31, 2026

Fact Check: AI-Generated Image Falsely Presented as the Girne Port Passenger Ship Accident

On August 30, 2026, a passenger ship en route to Taşucu, Mersin, capsized at Girne Port in Northern Cyprus. The accident resulted in fatalities and injuries, with some passengers reported missing. Following the incident, numerous related posts began circulating on social media. While many of these posts contained authentic news reports and images, others included content generated using artificial intelligence.

One example of such content appeared on X. On August 31, 2026, a user named aynuresultanova shared an image purportedly showing the site of the accident. The post containing the image was viewed more than 28,300 times, reposted 17 times, and liked 386 times.

However, a subsequent investigation revealed that the image was not authentic and had been generated using artificial intelligence. To assess its authenticity, the image was examined using HIVE Moderation and UncovAI.

The image was first analyzed using HIVE Moderation, which indicated that it had been generated using artificial intelligence.

The image was then independently analyzed using UncovAI, another AI-detection tool. UncovAI also indicated that the image was AI-generated, supporting the findings of the HIVE Moderation analysis.

Taken together, the results from both AI-detection tools indicate that the image does not authentically depict the site of the passenger ship accident in Girne Port, despite being presented on social media as an image of the real event.

In conclusion, the investigation indicates that the image circulating on X does not authentically depict the passenger ship accident at Girne Port in Northern Cyprus. Analyses conducted using HIVE Moderation and UncovAI both indicated that the image was generated using artificial intelligence. Although the ship accident itself was a real event, the image presented as showing the scene of the disaster was artificially created.

This case demonstrates how AI-generated images can be attached to real breaking-news events and presented as authentic visual evidence. Such content can be particularly misleading because it combines a genuine event with fabricated imagery, making it more difficult for viewers to distinguish between authentic reporting and synthetic content. The example highlights the importance of verifying the authenticity and source of images before sharing them, especially during rapidly developing news events.

Sunday, August 30, 2026

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

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.

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.

Saturday, August 29, 2026

Fact Check: Partly AI-Generated Video Misrepresented as Authentic Footage of the 2026 Nepal Floods

One such example is a video shared on X on August 29, 2026, by a user named Riyaz_H_Khan. The 15-second video purportedly shows scenes from the flood disaster in Nepal. Within one hour of being posted, the video had been viewed more than 1,025 times, reposted seven times, and liked 18 times.

However, a subsequent investigation revealed that the video contains both AI-generated and authentic footage. Specifically, the first five seconds of the video were identified as AI-generated, while the remaining footage appears to be authentic. To assess the authenticity of the content, the video was examined using HIVE Moderation and UncovAI.

The video was initially analyzed using HIVE Moderation, which detected indicators of AI-generated content in the footage. Further examination showed that these indicators were associated with the first five seconds of the video.

The footage was subsequently analyzed using UncovAI, which also detected AI-generated content. The findings from both tools therefore indicate that the video combines AI-generated imagery with authentic footage rather than consisting entirely of genuine documentation of the Nepal floods.

In conclusion, the investigation indicates that the 15-second video should not be considered entirely authentic footage of the August 2026 floods in Nepal. Analyses conducted using HIVE Moderation and UncovAI identified the first five seconds of the video as AI-generated. The video therefore combines artificially generated imagery with real footage while being presented to viewers as a continuous recording of the disaster.

This case highlights an important challenge in identifying AI-generated misinformation: manipulated content does not necessarily have to be entirely artificial. AI-generated segments can be combined with authentic footage, making misleading videos more difficult for viewers to recognize. As generative AI becomes increasingly integrated into visual content, verifying individual segments of a video—as well as its overall context—is essential, particularly when assessing footage associated with breaking news and natural disasters.

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

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.

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.

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

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.

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.

Friday, August 28, 2026

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

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.

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.

Fact Check: Viral Elephant Rescue Video Does Not Show the 2026 Nepal Floods

One such example is a video shared on X on August 26, 2026, by a user named CodexZeroTR. The 20-second video shows an elephant rescuing a person who appears to be swept away by floodwaters. The video has been viewed more than 6.3 million times, reposted 8,300 times, and liked more than 59,000 times.

However, although the footage is authentic, it is unrelated to the floods that occurred in Nepal on August 26. To determine the video’s actual origin and whether it had previously circulated online, it was analyzed using Grok and Gemini.

The video was first examined using Grok, which indicated that the footage was old. Grok also noted that elephants do not inhabit the high-altitude mountainous region where the flooding occurred and that Nepalese Army helicopters were used in rescue operations following the disaster.

However, Grok did not identify the country where the video was originally recorded. Therefore, to obtain more detailed information about its origin, the footage was further analyzed using Gemini. According to Gemini, the video dates back to 2016 and was filmed at the Elephant Nature Park in Chiang Mai, Thailand.

To further verify that the video was recorded in Thailand, the audio track was extracted from the footage using InVID-WeVerify and examined separately. Analysis of the extracted audio indicated that the language heard in the video was Thai. This linguistic evidence further supports the conclusion that the footage was recorded in Thailand rather than Nepal.

In conclusion, the video depicts a real event, but it is unrelated to the August 2026 floods along the Nepal-China border. The footage originated in Thailand and dates back to 2016, yet it was recirculated in 2026 in connection with a recent natural disaster in Nepal. This case demonstrates how authentic footage can be taken out of its original context and used to spread misleading information. It also highlights the importance of verifying not only whether visual content is authentic but also when and where it was originally recorded.

Tuesday, June 23, 2026

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.

Monday, June 22, 2026

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.

Thursday, June 11, 2026

The Military Training Video Shared on TikTok Is Not Authentic

On March 31, 2026, a 10-second video was shared on TikTok by prizrak_kupyanska_zov. The post claimed that the footage depicted Russian soldiers undergoing rigorous military training. The video received 138 likes and was reposted 11 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 BioID and HIVE Moderation.

The video was initially analyzed using HIVE Moderation, which determined that the content had been generated through artificial intelligence. It was subsequently examined using BioID, which reached the same conclusion, confirming that the footage was not genuine and had been synthetically produced.

In addition to the technical analyses, a detailed visual examination of the video revealed several inconsistencies commonly associated with AI-generated content. For example, while the soldiers shown during the first eight seconds of the video display Russian flags on their arms, the soldier appearing at the eighth second does not have this flag. This inconsistency within the same scene constitutes a significant indicator of artificial manipulation.

In conclusion, the video allegedly depicting Russian soldiers in training was generated using artificial intelligence technologies. Both the findings from technical detection tools and the observable visual inconsistencies demonstrate that the content does not represent authentic footage.

Wednesday, June 10, 2026

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.

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.

Tuesday, June 9, 2026

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.