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.

 

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: Partly AI-Generated Video Misrepresented as Authentic 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 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.

 

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 Elephant Rescue Video Does Not Show 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 and was shared in a misleading context.

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.

 

 

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