#FactCheck: AI-Generated Video Falsely Shared as Charkhi Dadri Firing Footage
Executive Summary
A video showing a black Scorpio being sprayed with bullets is being widely shared on social media.The video is being circulated with the claim that it shows the real footage of the firing incident in Haryana’s Charkhi Dadri on August 6, when around 30 rounds were allegedly fired at a Scorpio outside the City Police Station. The CyberPeace Research Wing found the claim to be false. The research established that the viral video is AI-generated and is being shared with a misleading claim.
Claim
A Facebook user shared the viral video with a caption stating, "Gunshots ring out in Haryana… panic grips the area! A firing incident reportedly took place in Charkhi Dadri, Haryana, during an alleged dispute between two groups on Thursday. According to reports, six people were injured, with two said to be in critical condition. Police are investigating the matter. What steps should be taken to prevent such incidents in your city?"
https://www.facebook.com/reel/991406893937983
FactCheck
To verify the claim, we extracted keyframes from the viral clip and conducted a reverse image search. During the search, we found an older post containing the same video on an Instagram account named ‘sxchin_jaat’. The video was uploaded on May 12, well before the Charkhi Dadri firing incident of August 6.
The earlier upload establishes that the viral clip is unrelated to the firing incident in Charkhi Dadri.
https://www.instagram.com/reels/DYOOXiASH4h/
We then examined the viral video closely and noticed visual characteristics that raised suspicions that it could be AI-generated. The video was subsequently analysed using Hive Moderation, which indicated a 96 per cent probability of AI-generated content.
As part of the next stage of verification, we analysed the video using another AI detection tool, Undetectable AI. The tool also identified the viral video as AI-generated.
Conclusion
The viral claim is false. The video being shared as authentic footage of the August 6 firing incident in Charkhi Dadri is not genuine. The clip was posted online as early as May 12 and AI detection tools also identified it as AI-generated. The video is therefore being circulated with a misleading claim linking it to the Charkhi Dadri firing incident.
Related Blogs
Introduction:
The Indian Ministry of Communications has come up with a feature known as "Quick SMS Header Information" to provide citizens with more control over their messaging services. This feature would help users access crucial information about the sender through text message, therefore making the details readily available at their fingertips.
The Quick SMS Header service is the key to providing users with the feature to ensure that they are receiving messages from the correct source. Users can instantly learn all the necessary data about the sender of a certain SMS. This data is invaluable for making the distinction between real messages and suspicious spam or phishing, so the user can have a higher level of defense against online threats and scam activities.
Importance of Checking the Header:
1. Authenticity Verification: SMS header data represents another way to confirm the sender. This feature keeps the end user from wrongly assuming that the SMS is from a trusted source or an unknown sender. Hence, the end user is able to make a choice about the authenticity of the message.
2. Mitigating Spam and Phishing: The rise of SMS and phishing scams has created some significant hurdles for users in the process of differentiating between real and fake messages. Through the Quick SMS Header Information service, people will be able to look up any suspicious messages in order to be able to take appropriate steps to prevent links that lead to malicious websites or requests for personal information.
3. Enhancing User Security: The SMS header information plays an important role in ensuring that the user is secure and has no privacy issues. The checking of the message headers will help us limit the possibilities of bad activities and reduce the chances of being a victim of cybercriminals.
4. Empowering Consumer Awareness: This feature is designed to encourage the people involved to take responsibility for the security of their devices and establish a safer and more dependable digital platform.
Benefits:
- Enhanced Transparency: By giving access to the header information to the users, it is transparency that is promoted within the telecommunications ecosystem.
- Empowered Decision-Making: Now that users have information about the SMS header, they can make informed decisions regarding their communications and privacy.
- Efficient Resolution of Concerns: The Quick SMS Header Information serves the purpose of providing the needed resolution by telling us the message’s origin in cases where users come across any suspicious messages.
- User-Friendly Interface: With its easy and clear process, this feature caters to users of all technical proficiency levels, ensuring accessibility for all.
Working:
1. Compose Your SMS: Write a message with the header you wish to find the information about. For example, if you want to know details about a header labeled "SBIINB," your SMS should be in the format "DETAILS OF SBIINB." Note, all letters are in capital only.
2. Send it to 1909: Once your message is ready, send it to: 1909. Please note, this may charge you depending upon your current plan.
3. Receive Response: The response to your SMS will be sent to you by the concerned telecommunication service provider or directly by 1909, a few seconds after you have sent your message. This response will have the data associated with the header above.
Another method to find SMS header information:
TRAI (Telecom Regulatory Authority of India) has made a tool on the webpage (https://smsheader.trai.gov.in/) to check for the SMS header associated with the message.
TRAI has also mandated header registration for messages pertaining to transactional or promotional purposes. This has helped people identify the SMS header by simply looking into the database as made by TRAI.
Steps:
1. Go to https://smsheader.trai.gov.in/. The page looks like as shown below:
2. Enter your Email, Name and complete the captcha under the Download/View Header Details and click on continue
3. Enter the OTP received on your email with the captcha and click on continue
4. Now enter your SMS header in the format of AA-AAAA, where “AA” is your prefix and “AAAA” is your header name. For example, we have taken “AX-HDFCBK” as our sample header, so “AX” is our prefix and “HDFCBK” is our header name.
5. As soon as we press enter, the site returns the query with the information of the header, as shown below
Conclusion:
The importance of checking SMS headers is something that simply cannot be overemphasized. This is the principal procedure for identifying incoming messages as authentic, and on that basis, the users are able to make informed choices about the messages they receive. It also contributes to the rise of user safety and privacy.
The development of more transparent controls and a stronger decision-making process will make it easier for users to handle their digital lives. The Quick SMS Header Information service is easy and convenient to use, as its interface is simple and understandable for users of all technical levels.
In addition to this, TRAI's attempt to make available an online tool for the maintenance of a comprehensive database of SMS headers strengthens its position towards ensuring security for its users in the telecommunications sector.
Introduction
Artificial intelligence is often hailed as a democratiser of knowledge, opportunity and skill. It is set to improve diagnostics, personalised learning, and productivity to boost the economy, which can assist millions of people to leave poverty. However, this may be an incomplete picture. A report of the United Nations Development Programme in 2025 tells a more complex tale. The Next Great Divergence: Why AI May Widen Inequality Between Countries cautions that, unless acts are taken to intervene, AI will not alleviate inequality between countries but will instead concentrate benefits in already advantaged economies and increase risks in more vulnerable ones.
Two Gaps, One Crisis
AI is not going to create a level playing field: it has been injected into a world where there is unprecedented inequality. The report outlines two structural asymmetries that will influence the ways in which its effects manifest: a capability gap and a vulnerability gap.
Those countries that have high connectivity, skills, compute and regulation will be in a position to reap a greater portion of the AI dividend. Others will be exposed to greater risks of job losses, information exclusion, misinformation, and the indirect consequences of increased energy and water demands.
The centre of this transition is the Asia-Pacific region, that harbors a population of more than 55 per cent of the world. More than half of the global AI users are now located in the region, but the initial positions are quite different. Nations such as Singapore and South Korea are already spending a lot of money on AI infrastructure, with others still striving to offer basic broadband services. Two out of three individuals already use AI tools in certain high-income economies. In most countries with low incomes, the utilisation is lower. Such figures are important as they depict not only a gap in technology but also a structural difference in terms of who controls AI and who is controlled by the latter.
When Inequality Becomes a Trust Problem
Any trusted technological system is based on three tenets: transparency, fairness and accountability. AI inequality negatively impacts all three.
If governments implement imported AI systems in areas with limited technical capability, with limited transparency on their operation, their construction, and their biases. Citizens do not really trust when decision-making systems are black boxes and domestic institutions lack the know-how to question them.
Data exclusion also interferes with fairness. The AI systems trained with the datasets not sufficiently representative of the rural population, linguistic minorities, and women will generate poorer results in those groups systematically. Since South Asian women are much less likely to own a smartphone, this impacts their representation in digital data, and consequently in any AI system trained on such data.
Safety Risks Are Not Evenly Distributed
The lack of trust has a direct safety aspect. For example, those countries that have less robust information ecosystems have a greater exposure to AI-generated misinformation that can bias the discourse of the populace, alter elections, and cause violence. They also have the weakest capability of screening, tagging, or combating such content.
The same can be said about labour markets. The very same technologies that can speed up marginalisation and destabilise governance increase human insecurity, especially among employees in the informal economy with weak social security. The UNDP report points out that the exposure of female employment to disruption by AI is disproportionate to that of male employment, which further presents a gendered dimension in an already unequal situation.
Risks of infrastructure are skewed as well. Large AI systems may create disproportionately high energy and water demands on countries that host the data infrastructure without there being an equivalent economic payback. The environmental cost is local while profits are outsourced. Dangers of AI spread downwards, and the advantages go upwards.
The Governance Gap and Regulatory Arbitrage
Governance is perhaps the most important aspect. There are only a few states that presently have extensive AI regulation systems. This gives rise to a patchy landscape, in which safety standards differ dramatically and where companies have an incentive to install systems in jurisdictions that have weaker regulation.
The main reason is the lack of capability, as expressed by Philip Schellekens, chief economist of the UNDP in Asia and the Pacific, who says that those countries that invest in skills, computing power and well-run governance structures will gain. The rest will be left far behind.
This departure has its ramifications outside the nations. When users in other areas are subjected to widely different rates of safety and equity by the same international platforms, the concept of uniform digital norms would no longer be sustainable. Confidence in AI systems is lost not only locally but also on a global scale.
Way Forward
The UNDP report makes it clear that there is no inevitability of divergence. To avert it, however, it is necessary to consider AI governance as a development, rather than a technology problem.
The capacity to govern should be constructed and not presumed. This implies assisting countries in establishing regulatory systems, institutional capacity, and facilitating cross-border collaboration on standards. It can also imply considering some AI features as a public good, with common models and open standards that do not allow a few firms or states to become too powerful.
The UNDP articulates the problem in a simple manner: in the end, the world's people and not machines must decide on what technologies should be given priority and how to utilise them optimally.
Conclusion
AI inequality is often framed as an economic divergence story. But its implications run deeper. It reshapes who is protected, who is visible in data, and who has the power to challenge harmful outcomes. The risk is not just that some countries fall behind economically. It is that the global digital ecosystem fragments into zones of high trust and low trust, high protection and low protection. The choices made now will determine which path prevails. AI can reinforce existing divides or help bridge them.
But that outcome will not be decided by the technology itself. It will be decided by how societies choose to distribute access, power, and responsibility in the systems they build.
References
- https://www.undp.org/sites/g/files/zskgke326/files/2025-12/undp-rbap-the-next-great-divergence_1.pdf
- https://www.undp.org/asia-pacific/press-releases/ai-risks-sparking-new-era-divergence-development-gaps-between-countries-widen-undp-report-finds
- https://www.undp.org/asia-pacific/blog/next-great-divergence-how-ai-could-split-world-again-if-we-dont-intervene
- https://www.aljazeera.com/news/2025/12/2/ai-threatens-to-widen-inequality-among-states-un
- https://www.undp.org/asia-pacific/next-great-divergence
- https://www.eco-business.com/press-releases/ai-risks-spark-new-era-of-divergence-as-development-gaps-widen-undp-report/
Executive Summary
A video showing a military convoy moving along a road is being widely circulated on social media with the claim that the entry of CRPF forces into West Bengal has changed the situation on the ground, suggesting strict action is underway during the ongoing elections. However, research by CyberPeace found the claim to be misleading. The video is not recent and has been available online since February 2025.
Claim
The 12-second viral clip shows multiple heavy vehicles moving in a convoy on a road. It has been shared on X (formerly Twitter) with a caption claiming that CRPF’s entry into West Bengal has led to a shift from dialogue to strong action, along with communal assertions.
Fact Check
During the verification process, we found that the same video had been posted by several X users around February 17, 2025. In those earlier posts, the video was described as being from Manipur, not West Bengal.
Further analysis revealed that the video contains background audio in the Manipuri language. To confirm this, we contacted a Manipuri journalist, who stated that the audio includes announcements asking people to stay indoors and avoid gathering on the streets. Notably, this audio is missing in the currently viral version of the clip.Although we could not independently verify the exact date and precise location of the footage, visual elements such as road dividers and streetlight patterns closely resemble those found in Imphal, the capital city of Manipur.
Additionally, reports confirm that central armed police forces have indeed been deployed in West Bengal for election duties in multiple phases. However, there is no evidence linking this specific video to those deployments.
Conclusion
The viral claim is misleading. The video does not show CRPF deployment in West Bengal during the ongoing elections. Instead, it appears to be an older clip from Manipur, likely recorded in early 2025, and has been shared with a false and communal narrative. There is no credible evidence to support the claim made alongside the video. Users are advised to verify content before sharing, especially during sensitive events like elections.
