#FactCheck - Viral Postcard Attributing Fake UGC Statement to Keshav Prasad Maurya Is False
Executive Summary
A postcard claiming that Uttar Pradesh Deputy Chief Minister Keshav Prasad Maurya commented on the Supreme Court’s stay on the new UGC regulations is being widely shared on social media. The viral postcard suggests that Maurya stated the Modi government would “fight till its last breath” to implement the UGC law and appealed to Dalit, backward and tribal communities to trust the government as their true well-wisher. However, an research by the CyberPeace has found that the viral postcard is fake. Keshav Prasad Maurya has not made any such statement.
Claim
A Facebook user shared the postcard with the caption:“Now read it yourself. Statement of Deputy CM Keshav Prasad Maurya — the Modi government will fight till its last breath to implement the UGC law. An appeal to Dalit, backward and tribal communities to trust the government, calling it their true well-wisher.”
(Archived version of the post available here.)
Fact Check:
During the research, we did not find any credible news reports mentioning such a statement by Deputy Chief Minister Keshav Prasad Maurya regarding the UGC regulations or the Supreme Court’s order. A closer examination of the viral postcard revealed several inconsistencies. Notably, the text on the postcard lacks proper punctuation, such as commas and full stops, which is unusual for professionally designed news graphics. The postcard carries the logo of Navbharat Times (NBT). However, when compared with genuine NBT postcards, the font style used in the viral image does not match NBT’s official design. We also traced the original NBT postcard that appears to have been edited to create the fake one. In the authentic postcard, shared by NBT on January 20, Keshav Prasad Maurya is quoted as saying: Where the lotus has bloomed, it will continue to bloom, and where it has not, under the guidance of PM Modi and the leadership of Nitin Nabin, the lotus will bloom.”
The original statement was digitally altered, and a fabricated quote was inserted to create the viral postcard.
Conclusion
CyberPeace research clearly establishes that the viral postcard is fake. The original Navbharat Times postcard has been tampered with, and Keshav Prasad Maurya’s actual statement has been replaced with a fabricated quote, which is now being circulated with a misleading claim.
Related Blogs
Along with the loss of important files and information, data loss can result in downtime and lost revenue. Unexpected occurrences, including natural catastrophes, cyber-attacks, hardware malfunctions, and human mistakes, can result in the loss of crucial data. Recovery from these without a backup plan may be difficult, if not impossible.
The fact is that the largest threat to the continuation of your organization today is cyberattacks. Because of this, disaster recovery planning should be approached from a data security standpoint. If not, you run the risk of leaving your vital systems exposed to a cyberattack. Cybercrime has been more frequent and violent over the past few years. In the past, major organizations and global businesses were the main targets of these attacks by criminals. But nowadays, businesses of all sizes need to be cautious of digital risks.
Many firms might suffer a financial hit even from a brief interruption to regular business operations. But imagine if a situation forced a company to close for a few days or perhaps weeks! The consequences would be disastrous.
One must have a comprehensive disaster recovery plan in place that is connected with the cybersecurity strategy, given the growing danger of cybercrime.
Let’s look at why having a solid data security plan and a dependable backup solution are essential for safeguarding a company from external digital threats.
1. Apply layered approaches
One must specifically use precautionary measures like antivirus software and firewalls. One must also implement strict access control procedures to restrict who may access the network.
One must also implement strict access control procedures to restrict who may access the network.
2. Understand the threat situation
If someone is unaware of the difficulties one should be prepared for, how can they possibly expect to develop a successful cybersecurity strategy? They can’t, is the simple response.
Without a solid understanding of the threat landscape, developing the plan will require a lot too much speculation. With this strategy, one can allocate resources poorly or perhaps completely miss a threat.
Because of this, one should educate themselves on the many cyber risks that businesses now must contend with.
3. Adopt a proactive security stance
Every effective cybersecurity plan includes a number of reactive processes that aren’t activated until an attack occurs. Although these reactive strategies will always be useful in cybersecurity, the main focus of your plan should be proactiveness.
There are several methods to be proactive, but the most crucial one is to analyze your network for possible threats regularly. your network securely. Having a SaaS Security Posture Management (SSPM) solution in place is beneficial for SaaS applications, in particular.
A preventive approach can lessen the effects of a data breach and aid in keeping data away from attackers.
4. Evaluate your ability to respond to incidents
Test your cybersecurity disaster recovery plan’s effectiveness by conducting exercises and evaluating the outcomes. Track pertinent data during the exercise to see if your plan is working as expected.
Meet with your team after each drill to evaluate what went well and what didn’t. This strategy enables you to continuously strengthen your plan and solve weaknesses. This procedure may be repeated endlessly and should be.
You must include cybersecurity protections in your entire disaster recovery plan if you want to make sure that your business is resilient in the face of cyber threats. You may strengthen data security and recover from data loss and corruption by putting in place a plan that focuses on both the essential components of proactive data protection and automated data backup and recovery.
For instance, Google distributes all data among several computers in various places while storing each user’s data on a single machine or collection of machines. To prevent a single point of failure, chunk the data and duplicate it across several platforms. As an additional security safeguard, they give these data chunks random names that are unreadable to the human eye.[1]
The process of creating and storing copies of data that may be used to safeguard organizations against data loss is referred to as backup and recovery. In the case of a main data failure, the backup’s goal is to make a duplicate of the data that can be restored.
5. Take zero-trust principles
Don’t presume that anything or anybody can be trusted; zero trust is a new label for an old idea. Check each device, user, service, or other entity’s trustworthiness before providing it access, then periodically recheck trustworthiness while access is allowed to make sure the entity hasn’t been hacked. Reduce the consequences of any breach of confidence by granting each entity access to only the resources it requires. The number of events and the severity of those that do happen can both be decreased by using zero-trust principles.
6. Understand the dangers posed by supply networks
A nation-state can effectively penetrate a single business, and that business may provide thousands of other businesses with tainted technological goods or services. These businesses will then become compromised, which might disclose their own customers’ data to the original attackers or result in compromised services being offered to customers. Millions of businesses and people might be harmed as a result of what began with one infiltrating corporation.
In conclusion, a defense-in-depth approach to cybersecurity won’t vanish. Organizations may never be able to totally eliminate the danger of a cyberattack, but having a variety of technologies and procedures in place can assist in guaranteeing that the risks are kept to a minimum.
References:
.webp)
Introduction
The unprecedented rise of social media, challenges with regional languages, and the heavy use of messaging apps like WhatsApp have all led to an increase in misinformation in India. False stories spread quickly and can cause significant harm, like political propaganda and health-related mis/misinformation. Programs that teach people how to use social media responsibly and attempt to check facts are essential, but they do not always connect with people deeply. Reading stories, attending lectures, and using tools that check facts are standard passive learning methods used in traditional media literacy programs.
Adding game-like features to non-game settings is called "gamification," it could be a new and interesting way to answer this question. Gamification involves engaging people by making them active players instead of just passive consumers of information. Research shows that interactive learning improves interest, thinking skills, and memory. People can learn to recognise fake news safely by turning fact-checking into a game before encountering it in real life. A study by Roozenbeek and van der Linden (2019) showed that playing misinformation games can significantly enhance people's capacity to recognise and avoid false information.
Several misinformation-related games have been successfully implemented worldwide:
- The Bad News Game – This browser-based game by Cambridge University lets players step into the shoes of a fake news creator, teaching them how misinformation is crafted and spread (Roozenbeek & van der Linden, 2019).
- Factitious – A quiz game where users swipe left or right to decide whether a news headline is real or fake (Guess et al., 2020).
- Go Viral! – A game designed to inoculate people against COVID-19 misinformation by simulating the tactics used by fake news peddlers (van der Linden et al., 2020).
For programs to effectively combat misinformation in India, they must consider factors such as the responsible use of smartphones, evolving language trends, and common misinformation patterns in the country. Here are some key aspects to keep in mind:
- Vernacular Languages
There should be games in Hindi, Tamil, Bengali, Telugu, and other major languages since that is how rumours spread in different areas and diverse cultural contexts. AI voice conversation and translation can help reduce literacy differences. Research shows that people are more likely to engage with and trust information in their native language (Pennycook & Rand, 2019).
- Games Based on WhatsApp
Interactive tests and chatbot-powered games can educate consumers directly within the app they use most frequently since WhatsApp is a significant hub for false information. A game with a WhatsApp-like interface where players may feel like they are in real life, having to decide whether to avoid, check the facts of, or forward messages that are going viral could be helpful in India.
- Detecting False Information
As part of a mobile-friendly game, players can pretend to be reporters or fact-checkers and have to prove stories that are going viral. They can do the same with real-life tools like reverse picture searches or reliable websites that check facts. Research shows that doing interactive tasks to find fake news makes people more aware of it over time (Lewandowsky et al., 2017).
- Reward-Based Participation
Participation could be increased by providing rewards for finishing misleading challenges, such as badges, diplomas, or even incentives on mobile data. This might be easier to do if there are relationships with phone companies. Reward-based learning has made people more interested and motivated in digital literacy classes (Deterding et al., 2011).
- Universities and Schools
Educational institutions can help people spot false information by adding game-like elements to their lessons. Hamari et al. (2014) say that students are more likely to join and remember what they learn when there are competitive and interactive parts to the learning. Misinformation games can be used in media studies classes at schools and universities by using models to teach students how to check sources, spot bias, and understand the psychological tricks that misinformation campaigns use.
What Artificial Intelligence Can Do for Gamification
Artificial intelligence can tailor learning experiences to each player in false games. AI-powered misinformation detection bots could lead participants through situations tailored to their learning level, ensuring they are consistently challenged. Recent natural language processing (NLP) developments enable AI to identify nuanced misinformation patterns and adjust gameplay accordingly (Zellers et al., 2019). This could be especially helpful in India, where fake news is spread differently depending on the language and area.
Possible Opportunities
Augmented reality (AR) scavenger hunts for misinformation, interactive misinformation events, and educational misinformation tournaments are all examples of games that help fight misinformation. India can help millions, especially young people, think critically and combat the spread of false information by making media literacy fun and interesting. Using Artificial Intelligence (AI) in gamified treatments for misinformation could be a fascinating area of study in the future. AI-powered bots could mimic real-time cases of misinformation and give quick feedback, which would help students learn more.
Problems and Moral Consequences
While gaming is an interesting way to fight false information, it also comes with some problems that you should think about:
- Ethical Concerns: Games that try to imitate how fake news spreads must ensure players do not learn how to spread false information by accident.
- Scalability: Although worldwide misinformation initiatives exist, developing and expanding localised versions for India's varied language and cultural contexts provide significant challenges.
- Assessing Impact: There is a necessity for rigorous research approaches to evaluate the efficacy of gamified treatments in altering misinformation-related behaviours, keeping cultural and socio-economic contexts in the picture.
Conclusion
A gamified approach can serve as an effective tool in India's fight against misinformation. By integrating game elements into digital literacy programs, it can encourage critical thinking and help people recognize misinformation more effectively. The goal is to scale these efforts, collaborate with educators, and leverage India's rapidly evolving technology to make fact-checking a regular practice rather than an occasional concern.
As technology and misinformation evolve, so must the strategies to counter them. A coordinated and multifaceted approach, one that involves active participation from netizens, strict platform guidelines, fact-checking initiatives, and support from expert organizations that proactively prebunk and debunk misinformation can be a strong way forward.
References
- Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: defining "gamification". Proceedings of the 15th International Academic MindTrek Conference.
- Guess, A., Nagler, J., & Tucker, J. (2020). Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Science Advances.
- Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work?—A literature review of empirical studies on gamification. Proceedings of the 47th Hawaii International Conference on System Sciences.
- Lewandowsky, S., Ecker, U. K., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition.
- Pennycook, G., & Rand, D. G. (2019). Fighting misinformation on social media using “accuracy prompts”. Nature Human Behaviour.
- Roozenbeek, J., & van der Linden, S. (2019). The fake news game: actively inoculating against the risk of misinformation. Journal of Risk Research.
- van der Linden, S., Roozenbeek, J., Compton, J. (2020). Inoculating against fake news about COVID-19. Frontiers in Psychology.
- Zellers, R., Holtzman, A., Rashkin, H., Bisk, Y., Farhadi, A., Roesner, F., & Choi, Y. (2019). Defending against neural fake news. Advances in Neural Information Processing Systems.
Executive Summary
A video circulating on social media allegedly shows an Indian Army Air Defence JCO, identified as “Anurag Thakur,” criticising the Central government and announcing his resignation. In the clip, the individual is purportedly heard expressing disappointment with the government’s support for soldiers and claiming heavy casualties within his unit. However, an investigation by the CyberPeace Research Wing has found the claim to be false and the video manipulated.
Claim:
The viral post alleges that an Indian Army Air Defence JCO criticised the Centre and resigned, citing lack of support for soldiers and unacknowledged casualties.
Fact Check:
A keyword search using terms such as “Indian Army Air Defence JCO,” “Anurag Thakur,” and “resignation” did not yield any credible news reports supporting the claim. A reverse image search of the viral clip led to an original video posted by ANI on April 22, 2026. The ANI watermark is also visible in the viral footage, confirming that the clip has been sourced from this original video.
In the authentic version, the same personnel appears in the same setting, but he is speaking in Hindi about operations against adversary drones during “Operation Sindoor” in May 2025. He explains how his unit detected and neutralised multiple drones, successfully safeguarding a critical installation. Importantly, the original video does not identify the individual as Anurag Thakur, nor does it contain any reference to resignation, casualties, or criticism of the government.
Further technical analysis using the AI detection tool Hive Moderation indicated that the audio in the viral clip has an 86 percent likelihood of being artificially generated.
Conclusion:
The viral video has been altered with fabricated audio to falsely claim that an Indian Army officer criticised the government and resigned. The claim is baseless and the clip is a clear case of a deepfake created to mislead viewers.
