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 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.

 

 

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

The 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.

Videos of Soldiers Crying Posted on X Contain Disinformation

On June 8, 2026, a 15-second video was posted on X by @aattzz23. The video depicts a Ukrainian soldier, allegedly 23 years old, crying. The accompanying post claims that the soldier had been sent to the front lines and was therefore in distress. Within two hours, the video was viewed 732 times and received 34 likes.

 

 

However, subsequent investigation revealed that the video was not authentic and had been generated using artificial intelligence. The footage was analyzed using Google SynthID and HIVE Moderation, both AI-content detection tools. The results from both analyses confirmed that the video was AI-generated.

 

AI-generated videos portraying soldiers in emotional distress are not limited to the context of the war in Ukraine. Similar content has circulated on social media in relation to other conflicts. For example, on June 1, 2026, a nine-second video was shared on X by the user @DailyChinaNews. The video, which has been viewed more than 16,600 times and received 339 likes, shows a female U.S. soldier crying and stating that she misses her family.

 

Like the video shared on June 8, the June 1 video was also created using artificial intelligence. Analysis conducted using Google SynthID and HIVE Moderation determined that the footage was AI-generated. In particular, the SynthID analysis identified visual and physical inconsistencies characteristic of synthetic media.

 

In conclusion, both videos allegedly depicting Ukrainian and American soldiers crying were generated using artificial intelligence. These cases demonstrate how emotionally charged AI-generated content can be employed to influence public opinion during periods of war and conflict. It is therefore essential to verify the authenticity of content—especially material involving soldiers, civilians, or alleged victims of war—through reliable sources and technical detection tools before sharing it.

 

 

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

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

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

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

 

 

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

 

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

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

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

 

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

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

 

 

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

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

 

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

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

Real Video, False Claim: Tel Aviv Post Contains Disinformation

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

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

 

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

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

 

 

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

The Same AI-Generated Video Reposted with Different War Claims

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

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

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

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

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

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

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

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

 

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

 

 

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

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

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

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

 

 

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

Video Linked to Attacks in Ukraine Found to Be AI-Generated

On June 2, 2026, Russian drones and missiles reportedly targeted Kyiv, the capital of Ukraine, and several other cities during the early morning hours. According to reports, the attacks resulted in at least 18 fatalities and more than 100 injuries in Kyiv and other affected areas. Images, videos, and updates related to the attacks were widely circulated across numerous social media platforms. One such post was shared on June 2, 2026, by the user @EthanLevins2 on X.

 

The 46-second video was viewed more than 12,600 times and reposted 102 times within a short period. It also received 773 likes. However, subsequent investigations revealed that the footage had been generated using artificial intelligence. The video was analyzed using HIVE Moderation, which confirmed that the content had been created with AI-based tools.

In conclusion, the short video posted on X on June 2 was artificially generated and does not depict authentic events. Technical analysis identified several inconsistencies characteristic of AI-generated media. This case illustrates how visual content associated with breaking news and ongoing conflicts can spread rapidly when presented as genuine footage. Particularly during periods of war, conflict, and crisis, it is essential to verify the authenticity of shared videos and images through reliable sources and technical detection tools.

 

 

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

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

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

 

 

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

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

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

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

 

 

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

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

Video Allegedly Showing Ukrainian Drones Over Moscow Was Generated Using Artificial Intelligence

On June 1, 2026, a 37-second video was posted on YouTube by @CuongLuong-r2n. The video purported to show Ukrainian drones flying over Moscow, the capital of Russia. The accompanying description claimed that Ukraine had launched an attack on Moscow using more than 400 unmanned aerial vehicles (UAVs). The same video was subsequently uploaded on YouTube on June 2, 2026, by another user, @strker2000.

 

 

However, subsequent investigations revealed that both videos were generated using artificial intelligence. The footage was analyzed using HIVE Moderation, which determined that the content had been created with AI-based tools.

Further examination using Google SynthID indicated that the videos did not depict authentic footage but were instead generated through artificial intelligence or related digital technologies. The analysis highlighted several indicators of synthetic production, including unnatural drone flight patterns and multiple visual inconsistencies, which strongly suggested AI generation.

 

At the conclusion of both YouTube videos, it was noted that the content had previously been shared on Instagram, indicating that YouTube was not the original source. A reverse image search was therefore conducted, revealing that the video was first uploaded to Instagram on June 1, 2026, by “NEWS_02025.” The Instagram version received 505 likes and 55 comments within less than 24 hours.

 

In conclusion, the video initially shared on Instagram and subsequently reposted on YouTube was generated using artificial intelligence and does not depict real events. This case demonstrates how AI-generated content can reach large audiences through cross-platform reposting and gradually be perceived as authentic footage. Particularly in the context of international conflicts and security-related issues, it is essential to verify visual content using technical detection tools and cross-check it against reliable sources.

 

 

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.

AI-Generated Video Circulates on Reddit

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

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

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

 

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

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

 

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

 

 

If you suspect that a video, image, or audio file has been created using artificial intelligence or deepfake technology and would like free assistance in verifying its authenticity, you may send the link to the content or the file itself to allaboutdeepfake@gmail.com.