#FactCheck - AI-Generated Video Falsely Shows US Soldiers Surrendering to Iranian Forces
Executive Summary:
Amid the ongoing conflict between the United States, Israel, and Iran, a video circulating widely on social media claims to show American soldiers kneeling and surrendering to Iranian forces. In the clip, several soldiers appear to be sitting on their knees in front of armed personnel, creating the impression that they have been captured on the battlefield.
The video is being shared with the claim that the Iranian military has taken US soldiers prisoner during the war.
However, an research by the CyberPeace found that the claim is false. The viral clip is not authentic and has been generated using artificial intelligence. There is no credible evidence to support the claim that American soldiers have been captured by Iranian forces.
Claim
A Facebook user named “News Tick” shared the video on March 12, 2026, claiming that Iran had released footage of captured US soldiers. In the clip, the soldiers can be seen kneeling while armed personnel stand around them, giving the scene a highly dramatic appearance.

Fact Check
To verify the claim, we first searched the internet using relevant keywords. We found no credible reports from reputable news organizations confirming that US soldiers had been captured by Iran during the conflict. A closer examination of the video revealed several visual inconsistencies. The weapons carried by the soldiers appear unclear and oddly shaped. Additionally, the background looks unusually blurred and overly dramatic. The lighting and textures in the footage also appear artificial—common indicators of AI-generated visuals.
To confirm this suspicion, we analyzed the clip using multiple AI detection tools. The tool Hive Moderation indicated a 99% probability that the video was created using artificial intelligence.

Further analysis using Sightengine also suggested that the video was likely AI-generated, estimating an 80% probability of AI creation.

Conclusion
Our research shows that the viral video claiming to depict American soldiers surrendering and being captured by Iranian forces is fake. The footage has been generated using AI and does not represent a real incident.
Related Blogs

Executive Summary
A picture circulating on social media allegedly shows Reliance Industries chairman Mukesh Ambani and Nita Ambani presenting a luxury car to India’s T20 team captain Suryakumar Yadav. The image is being widely shared with the claim that the Ambani family gifted the cricketer a luxury car in recognition of his outstanding performance. However, research conducted by the CyberPeace found the viral claim to be false. The research revealed that the image being circulated online is not authentic but generated using artificial intelligence (AI).
Claim
On February 8, 2025, a Facebook user shared the viral image claiming that Mukesh Ambani and Nita Ambani gifted a luxury car to Suryakumar Yadav following his brilliant innings. The post has been widely circulated across social media platforms. In another instance, a user shared a collage in which one image shows Suryakumar Yadav receiving an award, while another depicts him with Nita Ambani, further amplifying the claim.
- https://www.facebook.com/61559815349585/posts/122207061746327178/?rdid=0MukeT6c7WK1uB8m#
- https://archive.ph/wip/UH9Xh

Fact Check:
Upon closely examining the viral image, certain visual inconsistencies raised suspicion that it might be AI-generated. To verify its authenticity, the image was analysed using the AI detection tool Hive Moderation, which indicated a 99 percent probability that the image was AI-generated.

In the next step of the research, the image was also analysed using another AI detection tool, Sightengine, which found a 98 percent likelihood that the image was created using artificial intelligence.

Conclusion
The research clearly establishes that the viral image claiming Mukesh Ambani and Nita Ambani gifted a luxury car to Suryakumar Yadav is misleading. The picture is not real and has been generated using AI.

Executive Summary
Amid the ongoing tensions in West Asia between the United States–Israel alliance and Iran since February 28, 2026, a video is rapidly going viral on social media. The clip shows buildings engulfed in flames and thick plumes of smoke following an attack. Several users are sharing it with the claim that it depicts Iran’s recent strike on Tel Aviv, Israel. However, an research by the CyberPeace found the claim to be misleading. The viral video is actually from August 2025, when Israel carried out airstrikes in Sanaa, the capital of Yemen. It has no connection to the current conflict.
Claim:
An Instagram user ‘iran_.news24’ posted the video on March 27, 2026, with the caption: “Iran has turned Israel’s largest city Tel Aviv into hell—fears that 200,000 people have died in the war so far.”
Fact Check
To verify the viral claim, keyframes of the video were extracted and searched using Google Lens. The same video was found posted on August 24, 2025, by a Facebook user ‘Mhmdmhywbalshrby5’. The accompanying text, when translated, stated that it showed Israeli bombardment of Sanaa, Yemen.

Similarly, another Instagram user ‘ae5ce’ had also shared the same video on August 24, 2025, identifying it as footage from Sanaa.

Media reports further support this finding. According to a report published by Egypt Today on August 24, 2025, Israel carried out multiple airstrikes in Sanaa targeting key locations, including an oil station, a power facility, and the presidential palace. Casualties were also reported. The strikes were said to be in response to attacks by Houthi forces.

Additionally, the New York Post shared another video of the same incident from a different angle on its X (formerly Twitter) handle on August 25, 2025.

Conclusion
The video being circulated with the claim of Iran attacking Tel Aviv is actually old footage from Israeli airstrikes in Yemen in August 2025. It is unrelated to the ongoing conflict.

Introduction
The term ‘super spreader’ is used to refer to social media and digital platform accounts that are able to quickly transmit information to a significantly large audience base in a short duration. The analogy references the medical term, where a small group of individuals is able to rapidly amplify the spread of an infection across a huge population. The fact that a few handful accounts are able to impact and influence many is attributed to a number of factors like large follower bases, high engagement rates, content attractiveness or virality and perceived credibility.
Super spreader accounts have become a considerable threat on social media because they are responsible for generating a large amount of low-credibility material online. These individuals or groups may create or disseminate low-credibility content for a number of reasons, running from social media fame to garnering political influence, from intentionally spreading propaganda to seeking financial gains. Given the exponential reach of these accounts, identifying, tracing and categorising such accounts as the sources of misinformation can be tricky. It can be equally difficult to actually recognise the content they spread for the misinformation that it actually is.
How Do A Few Accounts Spark Widespread Misinformation?
Recent research suggests that misinformation superspreaders, who consistently distribute low-credibility content, may be the primary cause of the issue of widespread misinformation about different topics. A study[1] by a team of social media analysts at Indiana University has found that a significant portion of tweets spreading misinformation are sent by a small percentage of a given user base. The researchers conducted a review of 2,397,388 tweets posted on Twitter (now X) that were flagged as having low credibility and details on who was sending them. The study found that it does not take a lot of influencers to sway the beliefs and opinions of large numbers. This is attributed to the impact of what they describe as superspreaders. The researchers collected 10 months of data, which added up to 2,397,388 tweets sent by 448,103 users, and then reviewed it, looking for tweets that were flagged as containing low-credibility information. They found that approximately a third of the low-credibility tweets had been posted by people using just 10 accounts, and that just 1,000 accounts were responsible for posting approximately 70% of such tweets.[2]
Case Study
- How Misinformation ‘Superspreaders’ Seed False Election Theories
During the 2020 U.S. presidential election, a small group of "repeat spreaders" aggressively pushed false election claims across various social media platforms for political gain, and this even led to rallies and radicalisation in the U.S.[3] Superspreaders accounts were responsible for disseminating a disproportionately large amount of misinformation related to the election, influencing public opinion and potentially undermining the electoral process.
In the domestic context, India was ranked highest for the risk of misinformation and disinformation according to experts surveyed for the World Economic Forum’s 2024 Global Risk Report. In today's digital age, misinformation, deep fakes, and AI-generated fakes pose a significant threat to the integrity of elections and democratic processes worldwide. With 64 countries conducting elections in 2024, the dissemination of false information carries grave implications that could influence outcomes and shape long-term socio-political landscapes. During the 2024 Indian elections, we witnessed a notable surge in deepfake videos of political personalities, raising concerns about the influence of misinformation on election outcomes.
- Role of Superspreaders During Covid-19
Clarity in public health communication is important when any grey areas or gaps in information can be manipulated so quickly. During the COVID-19 pandemic, misinformation related to the virus, vaccines, and public health measures spread rapidly on social media platforms, including Twitter (Now X). Some prominent accounts or popular pages on platforms like Facebook and Twitter(now X) were identified as superspreaders of COVID-19 misinformation, contributing to public confusion and potentially hindering efforts to combat the pandemic.
As per the Center for Countering Digital Hate Inc (US), The "disinformation dozen," a group of 12 prominent anti-vaccine accounts[4], were found to be responsible for a large amount of anti-vaccine content circulating on social media platforms, highlighting the significant role of superspreaders in influencing public perceptions and behaviours during a health crisis.
There are also incidents where users are unknowingly engaged in spreading misinformation by forwarding information or content which are not always shared by the original source but often just propagated by amplifiers, using other sources, websites, or YouTube videos that help in dissemination. The intermediary sharers amplify these messages on their pages, which is where it takes off. Hence such users do not always have to be the ones creating or deliberately popularising the misinformation, but they are the ones who expose more people to it because of their broad reach. This was observed during the pandemic when a handful of people were able to create a heavy digital impact sharing vaccine/virus-related misinformation.
- Role of Superspreaders in Influencing Investments and Finance
Misinformation and rumours in finance may have a considerable influence on stock markets, investor behaviour, and national financial stability. Individuals or accounts with huge followings or influence in the financial niche can operate as superspreaders of erroneous information, potentially leading to market manipulation, panic selling, or incorrect impressions about individual firms or investments.
Superspreaders in the finance domain can cause volatility in markets, affect investor confidence, and even trigger regulatory responses to address the spread of false information that may harm market integrity. In fact, there has been a rise in deepfake videos, and fake endorsements, with multiple social media profiles providing unsanctioned investing advice and directing followers to particular channels. This leads investors into dangerous financial decisions. The issue intensifies when scammers employ deepfake videos of notable personalities to boost their reputation and can actually shape people’s financial decisions.
Bots and Misinformation Spread on Social Media
Bots are automated accounts that are designed to execute certain activities, such as liking, sharing, or retweeting material, and they can broaden the reach of misinformation by swiftly spreading false narratives and adding to the virality of a certain piece of content. They can also artificially boost the popularity of disinformation by posting phony likes, shares, and comments, making it look more genuine and trustworthy to unsuspecting users. Bots can exploit social network algorithms by establishing false identities that interact with one another and with real users, increasing the spread of disinformation and pushing it to the top of users' feeds and search results.
Bots can use current topics or hashtags to introduce misinformation into popular conversations, allowing misleading information to acquire traction and reach a broader audience. They can lead to the construction of echo chambers, in which users are exposed to a narrow variety of perspectives and information, exacerbating the spread of disinformation inside restricted online groups. There are incidents reported where bot's were found as the sharers of content from low-credibility sources.
Bots are frequently employed as part of planned misinformation campaigns designed to propagate false information for political, ideological, or commercial gain. Bots, by automating the distribution of misleading information, can make it impossible to trace the misinformation back to its source. Understanding how bots work and their influence on information ecosystems is critical for combatting disinformation and increasing digital literacy among social media users.
CyberPeace Policy Recommendations
- Recommendations/Advisory for Netizens:
- Educating oneself: Netizens need to stay informed about current events, reliable fact-checking sources, misinformation counter-strategies, and common misinformation tactics, so that they can verify potentially problematic content before sharing.
- Recognising the threats and vulnerabilities: It is important for netizens to understand the consequences of spreading or consuming inaccurate information, fake news, or misinformation. Netizens must be cautious of sensationalised content spreading on social media as it might attempt to provoke strong reactions or to mold public opinions. Netizens must consider questioning the credibility of information, verifying its sources, and developing cognitive skills to identify low-credibility content and counter misinformation.
- Practice caution and skepticism: Netizens are advised to develop a healthy skepticism towards online information, and critically analyse the veracity of all information sources. Before spreading any strong opinions or claims, one must seek supporting evidence, factual data, and expert opinions, and verify and validate claims with reliable sources or fact-checking entities.
- Good netiquette on the Internet, thinking before forwarding any information: It is important for netizens to practice good netiquette in the online information landscape. One must exercise caution while sharing any information, especially if the information seems incorrect, unverified or controversial. It's important to critically examine facts and recognise and understand the implications of sharing false, manipulative, misleading or fake information/content. Netizens must also promote critical thinking and encourage their loved ones to think critically, verify information, seek reliable sources and counter misinformation.
- Adopting and promoting Prebunking and Debunking strategies: Prebunking and debunking are two effective strategies to counter misinformation. Netizens are advised to engage in sharing only accurate information and do fact-checking to debunk any misinformation. They can rely on reputable fact-checking experts/entities who are regularly engaged in producing prebunking and debunking reports and material. Netizens are further advised to familiarise themselves with fact-checking websites, and resources and verify the information.
- Recommendations for tech/social media platforms
- Detect, report and block malicious accounts: Tech/social media platforms must implement strict user authentication mechanisms to verify account holders' identities to minimise the formation of fraudulent or malicious accounts. This is imperative to weed out suspicious social media accounts, misinformation superspreader accounts and bots accounts. Platforms must be capable of analysing public content, especially viral or suspicious content to ascertain whether it is misleading, AI-generated, fake or deliberately misleading. Upon detection, platform operators must block malicious/ superspreader accounts. The same approach must apply to other community guidelines’ violations as well.
- Algorithm Improvements: Tech/social media platform operators must develop and deploy advanced algorithm mechanisms to detect suspicious accounts and recognise repetitive posting of misinformation. They can utilise advanced algorithms to identify such patterns and flag any misleading, inaccurate, or fake information.
- Dedicated Reporting Tools: It is important for the tech/social media platforms to adopt robust policies to take action against social media accounts engaged in malicious activities such as spreading misinformation, disinformation, and propaganda. They must empower users on the platforms to flag/report suspicious accounts, and misleading content or misinformation through user-friendly reporting tools.
- Holistic Approach: The battle against online mis/disinformation necessitates a thorough examination of the processes through which it spreads. This involves investing in information literacy education, modifying algorithms to provide exposure to varied viewpoints, and working on detecting malevolent bots that spread misleading information. Social media sites can employ similar algorithms internally to eliminate accounts that appear to be bots. All stakeholders must encourage digital literacy efforts that enable consumers to critically analyse information, verify sources, and report suspect content. Implementing prebunking and debunking strategies. These efforts can be further supported by collaboration with relevant entities such as cybersecurity experts, fact-checking entities, researchers, policy analysts and the government to combat the misinformation warfare on the Internet.
References:
- https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302201 {1}
- https://phys.org/news/2024-05-superspreaders-responsible-large-portion-misinformation.html#google_vignette {2}
- https://phys.org/news/2024-05-superspreaders-responsible-large-portion-misinformation.html#google_vignette {3}
- https://counterhate.com/research/the-disinformation-dozen/ {4}
- https://phys.org/news/2024-05-superspreaders-responsible-large-portion-misinformation.html#google_vignette
- https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302201
- https://www.nytimes.com/2020/11/23/technology/election-misinformation-facebook-twitter.html
- https://www.wbur.org/onpoint/2021/08/06/vaccine-misinformation-and-a-look-inside-the-disinformation-dozen
- https://healthfeedback.org/misinformation-superspreaders-thriving-on-musk-owned-twitter/
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139392/
- https://www.jmir.org/2021/5/e26933/
- https://www.yahoo.com/news/7-ways-avoid-becoming-misinformation-121939834.html