#FactCheck -AI-Generated Video Falsely Shared as BJP-Led Border Fencing on West Bengal-Bangladesh Border
Research Wing
Innovation and Research
PUBLISHED ON
May 28, 2026
10
Executive Summary
A video showing people installing fencing along a border has gone viral on social media. In the clip, several individuals along with security personnel can be seen laying barbed wire fencing near a border area. The video is being shared with the claim that it shows fencing work underway on the India-Bangladesh border in West Bengal after the Bharatiya Janata Party (BJP) allegedly came to power in the state.
However, CyberPeace Research Wing investigation found the viral claim to be false. The video is not from a real incident and has been created using Artificial Intelligence (AI).
Claim
An X user named “Gopal Sanatani” shared the viral video on May 26, 2026, with the caption:“Voting in the right place keeps the country secure. Now no outsider will be able to snatch the rights of Indian citizens.”The archived link to the post is provided below.
To verify the authenticity of the viral claim, we extracted several key frames from the video and conducted reverse image searches using Google. However, we could not find any credible information or authentic reports related to the visuals shown in the clip. We also searched using relevant keywords on Google, but no trustworthy news reports connected to the claim were found.
Upon closely examining the video, several visual inconsistencies became noticeable. At one point, an object resembling a piece of paper suddenly appears in a soldier’s hand and then disappears moments later. In another scene, a man installing the fencing appears to pass directly through the barbed wire and emerges unharmed, despite the sharp wires visible in the video. These irregularities raised suspicion that the clip had been artificially generated. To further investigate, we analysed the video using AI detection tools. The analysis conducted through Hive Moderation indicated a high probability — around 80 percent — that the video was AI-generated.
Additionally, the video was examined using another AI detection platform, “AI or Not,” which indicated nearly a 99 percent likelihood that the clip had been created using artificial intelligence.
Conclusion
Our investigation found that the viral video claiming to show fencing work along the West Bengal-Bangladesh border is fake. The footage does not depict a real incident and was generated using Artificial Intelligence (AI).
The U.S. Department of Justice recently released nearly three million pages of documents, along with thousands of videos and photographs, related to its research into convicted offender Jeffrey Epstein. Meanwhile, a video showing a massive crowd protesting on a street is going viral on social media The video, which had earlier circulated with false claims linking it to anti-government protests in Iran, is now being shared by several users who claim that the protest took place in the United States after the release of the Epstein files. Research by CyberPeace found the viral claim to be false. The video being linked to protests in the United States following the release of the Epstein files is not real and was generated using artificial intelligence (AI).
Claim:
An Instagram user uploaded the viral video on February 9, 2026, with the caption: “After Epstein files released in America. All eyes on America.”
To verify the claim, we first conducted a reverse search of the viral video using Google Lens. The same video was found posted on January 10, 2026, by an Instagram account named “elnaz555,” where it was shared in the context of recent protests in Iran. The post also mentioned that the video was created using AI.
Based on this lead, we further analyzed a higher-quality version of the viral video using Hive Moderation, a tool used to detect AI-generated images and videos. The analysis indicated a 97.9% probability that the video was generated using artificial intelligence. The research clearly shows that the video is not authentic and has been falsely linked to protests in the United States after the release of the Epstein files.
Conclusion:
The claim circulating on social media is false. The viral video allegedly showing protests in the United States following the release of the Epstein files is AI-generated and not related to any real event.
As technological advancements continue to shape the future, the rise of artificial intelligence brings with it significant potential benefits, yet also raises concerns about the spread of misinformation. Recognising the need for accountability on both ends, on 5th May, during the three-day World News Media Congress 2025 in Kraków, Poland the European Broadcasting Union (EBU) and the World Association of News Publishers (WAN-IFRA) have announced to the public the five core principles for their joint initiative called News Integrity in the Age of AI. The initiative is aimed at fostering dialogue and cooperation between media organisations and technology platforms, and the principles announced are to be a code of practice to be followed by all those taking part. With thousands of public and private media outlets around the world joining the effort, the initiative highlights the shared responsibility of AI developers to ensure that AI systems are trustworthy, safe, and supportive of a reliable news ecosystem. It represents a global call to action to uphold the integrity of news in this age of major influx and curb the growing challenge of misinformation.
The five core principles released focus on:
1. Authorisation of content by the originators is a must prior to its usage in Generative AI tools and models
2. High-quality and up-to-date news content must be recognised by third parties that are benefiting from it
3. There must be a focus on accuracy and attribution, making the original sources of news apparent to the public, promoting transparency
4. Harnessing the plural nature of the news perspectives, which will help AI-driven tools perform better and
5. An invitation to tech companies for an open dialogue with news outlets, facilitating conversation to collaborate and develop standards of transparency, accuracy, and safety.
As this initiative provides a unified platform to address and deliberate on issues affecting the integrity of news, there are also some other technical ways in which misinformation in news caused by AI can be curbed:
1. Encourage the usage of Smaller Generative AI Models: The Large Language Models (LLMs) have to be trained on a range of topics. Businesses don’t require such an expanse of information but just a little that is relevant. A narrower context of information to be sourced from allows better content navigation and a reduced chance of mix-up.
2. Fighting AI hallucination: This is a phenomenon that causes generative AI (such as chatbots and computer vision tools) to present nonsensical and inaccurate outputs as the system perceives objects or patterns that are imperceptible or non-existent to human observers. This occurs as a result of the system trying to focus on both language fluency and stitching information from different sources together. In order to deal with this, one can deploy retrieval augmented generation (RAG). This enables connection with external sources of data that include academic journals, a company’s organisational data, among other things, that would help in providing more accurate, domain-specific content.
Conclusion
This global call to action marks an important step toward fostering unified efforts to combat misinformation. The set of principles introduced is designed to be adaptable, providing a flexible framework that can evolve to address emerging challenges (through dialogue and discussion), including issues like copyright infringement. While AI offers powerful tools to support the news industry, it is essential to emphasise that human oversight remains crucial. These technological advancements are meant to enhance and augment the work of journalists, not replace it, ensuring that the core values of journalism, such as accuracy and integrity, are preserved in the age of AI.
The IT giant Apple has alerted customers to the impending threat of "mercenary spyware" assaults in 92 countries, including India. These highly skilled attacks, which are frequently linked to both private and state actors (such as the NSO Group’s Pegasus spyware), target specific individuals, including politicians, journalists, activists and diplomats. In sharp contrast to consumer-grade malware, these attacks are in a league unto themselves: highly-customized to fit the individual target and involving significant resources to create and use.
As the incidence of such attacks rises, it is important that all persons, businesses, and officials equip themselves with information about how such mercenary spyware programs work, what are the most-used methods, how these attacks can be prevented and what one must do if targeted. Individuals and organizations can begin protecting themselves against these attacks by enabling "Lockdown Mode" to provide an extra layer of security to their devices and by frequently changing passwords and by not visiting the suspicious URLs or attachments.
Introduction: Understanding Mercenary Spyware
Mercenary spyware is a special kind of spyware that is developed exclusively for law enforcement and government organizations. These kinds of spywares are not available in app stores, and are developed for attacking a particular individual and require a significant investment of resources and advanced technologies. Mercenary spyware hackers infiltrate systems by means of techniques such as phishing (by sending malicious links or attachments), pretexting (by manipulating the individuals to share personal information) or baiting (using tempting offers). They often intend to use Advanced Persistent Threats (APT) where the hackers remain undetected for a prolonged period of time to steal data by continuous stealthy infiltration of the target’s network. The other method to gain access is through zero-day vulnerabilities, which is the process of gaining access to mobile devices using vulnerabilities existing in software. A well-known example of mercenary spyware includes the infamous Pegasus by the NSO Group.
Actions: By Apple against Mercenary Spyware
Apple has introduced an advanced, optional protection feature in its newer product versions (including iOS 16, iPadOS 16, and macOS Ventura) to combat mercenary spyware attacks. These features have been provided to the users who are at risk of targeted cyber attacks.
Apple released a statement on the matter, sharing, “mercenary spyware attackers apply exceptional resources to target a very small number of specific individuals and their devices. Mercenary spyware attacks cost millions of dollars and often have a short shelf life, making them much harder to detect and prevent.”
When Apple's internal threat intelligence and investigations detect these highly-targeted attacks, they take immediate action to notify the affected users. The notification process involves:
Displaying a "Threat Notification" at the top of the user's Apple ID page after they sign in.
Sending an email and iMessage alert to the addresses and phone numbers associated with the user's Apple ID.
Providing clear instructions on steps the user should take to protect their devices, including enabling "Lockdown Mode" for the strongest available security.
Apple stresses that these threat notifications are "high-confidence alerts" - meaning they have strong evidence that the user has been deliberately targeted by mercenary spyware. As such, these alerts should be taken extremely seriously by recipients.
Modus Operandi of Mercenary Spyware
Installing advanced surveillance equipment remotely and covertly.
Using zero-click or one-click attacks to take advantage of device vulnerabilities.
Gain access to a variety of data on the device, including location tracking, call logs, text messages, passwords, microphone, camera, and app information.
Installation by utilizing many system vulnerabilities on devices running particular iOS and Android versions.
Defense by patching vulnerabilities with security updates (e.g., CVE-2023-41991, CVE-2023-41992, CVE-2023-41993).
Utilizing defensive DNS services, non-signature-based endpoint technologies, and frequent device reboots as mitigation techniques.
Prevention Measures: Safeguarding Your Devices
Turn on security measures: Make use of the security features that the device maker has supplied, such as Apple's Lockdown Mode, which is intended to prevent viruses of all types from infecting Apple products, such as iPhones.
Frequent software upgrades: Make sure the newest security and software updates are installed on your devices. This aids in patching holes that mercenary malware could exploit.
Steer clear of misleading connections: Exercise caution while opening attachments or accessing links from unidentified sources. Installing mercenary spyware is possible via phishing links or attachments.
Limit app permissions: Reassess and restrict app permissions to avoid unwanted access to private information.
Use secure networks: To reduce the chance of data interception, connect to secure Wi-Fi networks and stay away from public or unprotected connections.
Install security applications: To identify and stop any spyware attacks, think about installing reliable security programs from reliable sources.
Be alert: If Apple or other device makers send you a threat notice, consider it carefully and take the advised security precautions.
Two-factor authentication: To provide an extra degree of protection against unwanted access, enable two-factor authentication (2FA) on your Apple ID and other significant accounts.
Consider additional security measures: For high-risk individuals, consider using additional security measures, such as encrypted communication apps and secure file storage services
Way Forward: Strengthening Digital Defenses, Strengthening Democracy
People, businesses and administrations must prioritize cyber security measures and keep up with emerging dangers as mercenary spyware attacks continue to develop and spread. To effectively address the growing threat of digital espionage, cooperation between government agencies, cybersecurity specialists, and technology businesses is essential.
In the Indian context, the update carries significant policy implications and must inspire a discussion on legal frameworks for government surveillance practices and cyber security protocols in the nation. As the public becomes more informed about such sophisticated cyber threats, we can expect a greater push for oversight mechanisms and regulatory protocols. The misuse of surveillance technology poses a significant threat to individuals and institutions alike. Policy reforms concerning surveillance tech must be tailored to address the specific concerns of the use of such methods by state actors vs. private players.
There is a pressing need for electoral reforms that help safeguard democratic processes in the current digital age. There has been a paradigm shift in how political activities are conducted in current times: the advent of the digital domain has seen parties and leaders pivot their campaigning efforts to favor the online audience as enthusiastically as they campaign offline. Given that this is an election year, quite possibly the most significant one in modern Indian history, digital outreach and online public engagement are expected to be at an all-time high. And so, it is imperative to protect the electoral process against cyber threats so that public trust in the legitimacy of India’s democratic is rewarded and the digital domain is an asset, and not a threat, to good governance.
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