Video Allegedly Showing Recent Attacks in Ukraine Is Actually From 2017

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

 

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

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

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

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

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

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

 

 

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

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

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

 

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

 

 

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

 

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

 

Different Wars, Same Fake Video

On June 8, 2026, an 11-second video was posted on X by @IsraelSpoofX. The accompanying claim stated that Israeli air defense systems had detected and destroyed five Iranian warplanes. The video was viewed more than 1,600,000 times, received over 4,000 likes, and was reposted 926 times.

 

 

The same video was posted again on June 9, 2026, this time by @RussianArmy_ on X. However, the June 9 post claimed that the footage showed Russian air defense systems detecting and destroying five Ukrainian warplanes en route to attack Russia. Although both posts used identical footage, they attributed it to different conflicts and countries. The June 9 post received over 145,000 views, more than 1,400 likes, and 439 reposts.

However, the video shared by these two users and associated with two separate wars is not authentic; it was generated using artificial intelligence. The authenticity of the footage was examined using Grok, Google SynthID, and HIVE Moderation.

Initial analysis conducted with Grok indicated that both the video and the accompanying claims were not credible. Similarly, Google SynthID identified multiple visual and physical inconsistencies characteristic of AI-generated content. These findings strongly suggested that the footage had been synthetically produced.

 

The video was subsequently analyzed using HIVE Moderation, which confirmed that it was AI-generated, consistent with the results obtained from Grok and Google SynthID.

 

 

In conclusion, the video allegedly depicting Israel destroying Iranian warplanes and Russia destroying Ukrainian warplanes was generated using artificial intelligence. The recirculation of identical AI-generated content under different geopolitical narratives illustrates how easily disinformation can spread across social media platforms. This case once again underscores the importance of verifying visual content—particularly in relation to international conflicts and military developments—using reliable sources and technical detection tools.

 

 

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

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.

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.

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.

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.

Evolution and Focus of Terrorism Studies in Türkiye: A Comprehensive Analysis of Academic Literature (1992–2024)

The aim of this study is to analyze the evolution and characteristics of the academic literature on terrorism in Türkiye from 1992 to 2024. The study addresses two main research questions: the distinctive features of terrorism literature in Türkiye and the types of terrorist organizations that have been the focus of this literature, along with temporal changes in these focuses. In this direction, the study used descriptive and dictionary-based analyses on a dataset of 1066 academic publications identified through "Publish or Perish" software, focusing on studies with relevant keywords in Turkish. The descriptive analysis examined publication trends, number of citations, number of authors, and study types, while the dictionary-based analysis identified the most studied terrorist organizations and tracked changes over time. The findings reveal that most studies in this literature, which experienced significant growth after 9/11 and peaked in 2019, received fewer than ten citations. The literature predominantly focuses on organizations like the PKK, with shifting attention to groups like ISIS and FETÖ in recent years. This study contributes to a deeper understanding of how terrorism studies in Türkiye have developed and evolved over the last three decades.

LINK: https://dergipark.org.tr/tr/pub/ijshs/issue/93549/1736233

 ISIS Religious and Extremist Propaganda on Social Media: Dictionary-Based Study of Twitter

Abstract

The world had faced with many terrorist organizations until 2014. However, after 2014, the world faced with the most complicated terrorist organization. This terrorist organization is ISIS or Islamic State of Iraq and Syria. ISIS has been running a more different propaganda campaign, emphasizing the state-building and welfare schemes run by this organization and these elements make ISIS more complicated. ISIS has been very well integrated into the new technology such as social media and smartphone and ISIS has been using them very effectively. Especially Twitter has become a major component of ISIS social media movement. Twitter was used to spread sensationalistic ISIS photos and videos across the Twitter users. While ISIS spread fear and messages on twitter, at the same time it also gained supporters. However, it is seen that ISIS’ sympathizer uses different jargons in terms of their number of followers in twitter. As a result of my research, I found that users with more followers used a stronger violence jargon on Twitter, while users with fewer followers using a softer and more religious language. Users with less followers were an emphasis on unity and religion, while users with more followers encouraging physical violence such as lone wolf attacks and killing enemy appeared more often on Twitter. Dictionary-based analysis of ISIS' and its sympathizers' tweets were performed. This dictionary-based research creates a typology to explain and categorize tweets from ISIS and its followers. For reliability, "Split-half test" was applied to the results and similar results were reached.

Keywords: ISIS, Twitter, Dictionary-Based Analysis, Propaganda

RELATED LINK: https://smallwarsjournal.com/jrnl/art/isis-religious-and-extremist-propaganda-social-media-dictionary-based-study-twitter

Is there any relationship between terrorism and poverty?

For a long time, international relations scholars have been discussing the causes of terrorism. One of the idea raised as a result of these discussions is poverty.

According to scholars such as Krueger and Maleckova (2003), there is a connection between poverty and terrorism. They support that there is a positive correlation between poverty and terrorism. According to Krueger and Maleckova (2003), if poverty is decreased, terrorism also will be decreased.

As a result of these researches, it was decided to investigate this subject in more detail. A data set was prepared in this direction. This data set included global hunger index, number of terrorist attacks, poverty and inequality numbers.

We got the global hunger index data from unicef, poverty and inequality from World bank and number of terrorist attacks from START.

There are 3 variables in this research. These variables are number of terrorist attacks in the World, global hunger index and poverty less than 1.90 usd.

 Firstly, correlation analysis between these three variables was performed. Based on this correlation analysis, no correlation was found between poverty and terror which is the purpose of the research.

            As can be seen in the table, there is no correlation between terrorism and hunger and poverty. After the correlation analysis, linear regression analysis was performed.

Dependent variable:
	Attack
Hunger	4.413
	(3.859)
Constant	30.843
	(94.052)
Observations	69
R2	0.019
Adjusted R2	0.005
Residual Std. Error	371.463 (df = 67)
F Statistic	1.308 (df = 1; 67)
Note:	*p<0.1; **p<0.05; ***p<0.01

             
                  As could be seen, there is no significant relation between our variables. Linear regression analysis also confirmed the correlation analysis. As can be seen, there is no correlation between terrorism and poverty and hunger. This result is different from many sources in the literature.


REFERENCE:

Krueger, A., & Malečková, J. (2003). Education, Poverty and Terrorism: Is There a Causal Connection? The Journal of Economic Perspectives, 17(4), 119-144. Retrieved from http://www.jstor.org/stable/3216934

France's bloody history in Algeria

Algeria was occupied by France in 1837. Unlike other French colonies, Algeria was directly part of France. Therefore, during the colonial period, the oppression and violence against Algeria was higher than other colonies. The violence and oppression that France imposed on Algeria had been one of the most important factors in raising awareness of the struggle against French colonialism in Algeria.

Particularly, there was a hope that the French would give positive answers to the demands of the Algerian nationalists for the reform before and during the Second World War. However, the French government ignored the expected reforms. As a result, protests and uprisings against France began.

One of these uprisings was organized by the People's Party of Algeria in 1945. The purpose of the march was to celebrate the end of the Second World War, and to honor the Algerians who fought and died in this great war in the name of France. Before this march, some ethnical problems already started between the French government and the Algerians. In addition, intellectuals such as Messali Hajj were arrested because of the Algerians' claiming more rights and talking about it. This caused problems to grow even more.

This tense walk started on March 8, 1945. During the march, the police attacked the demonstrators and many demonstrators died. Police could not control the uprising and they asked the military for help. There was a huge increase in the number of dead and wounded by the involvement of air force-backed ground forces on the uprising.

The incidents caused the Algerian independence movement to begin. After the uprising, the people of Algeria began to fight for independence against France. The war of independence, which began in 1954, ended in 1962. Millions of Algerians were killed during the war. The French call this war as "France's Vietnam war".

It was known that during the war there were many massacres by France and human rights were violated by France. However, the French authorities did not accept these crimes. However, the new French president Macron took a big step on this issue.

New President of France officially acknowledged its military’s systemic use of torture in the Algerian War in the 1950s and 1960s, a step forward in grappling with its colonial legacy. This is proof that France has begun to face with her bloody history. However, the question is whether France will accept and recognize the massacres in Algeria or not in future.

RELATED LINK: 
https://www.researchgate.net/publication/327666274_CEZAYIR%27DE_GECMISTEN_GUNUMUZE_ISLAMCI_HAREKETLER