#FactCheck -Deepfake Audio Misuses Old Jaishankar Podcast to Fabricate False Claims About “Operation Sindoor”

Introduction 

Prebunking is a technique that shifts the focus from directly challenging falsehoods or telling people what they need to believe to understanding how people are manipulated and misled online to begin with. It is a growing field of research that aims to help people resist persuasion by misinformation. Prebunking, or "attitudinal inoculation," is a way to teach people to spot and resist manipulative messages before they happen.  The crux of the approach is rooted in taking a step backwards and nipping the problem in the bud by deepening our understanding of it, instead of designing redressal mechanisms to tackle it after the fact. It has been proven effective in helping a wide range of people build resilience to misleading information.

Prebunking is a psychological strategy for countering the effect of misinformation with the goal of assisting individuals in identifying and resisting deceptive content, hence increasing resilience against future misinformation. Online manipulation is a complex issue, and multiple approaches are needed to curb its worst effects. Prebunking provides an opportunity to get ahead of online manipulation, providing a layer of protection before individuals encounter malicious content. Prebunking aids individuals in discerning and refuting misleading arguments, thus enabling them to resist a variety of online manipulations. 

Prebunking builds mental defenses for misinformation by providing warnings and counterarguments before people encounter malicious content. Inoculating people against false or misleading information is a powerful and effective method for building trust and understanding along with a personal capacity for discernment and fact-checking. Prebunking teaches people how to separate facts from myths by teaching them the importance of thinking in terms of ‘how you know what you know’ and consensus-building. Prebunking uses examples and case studies to explain the types and risks of misinformation so that individuals can apply these learnings to reject false claims and manipulation in the future as well. 

How Prebunking Helps Individuals Spot Manipulative Messages

Prebunking helps individuals identify manipulative messages by providing them with the necessary tools and knowledge to recognize common techniques used to spread misinformation. Successful prebunking strategies include;

1. Warnings;
2. Preemptive Refutation: It explains the narrative/technique and how particular information is manipulative in structure. The Inoculation treatment messages typically include 2-3 counterarguments and their refutations. An effective rebuttal provides the viewer with skills to fight any erroneous or misleading information they may encounter in the future.
3. Micro-dosing: A weakened or practical example of misinformation that is innocuous. 

All these alert individuals to potential manipulation attempts. Prebunking also offers weakened examples of misinformation, allowing individuals to practice identifying deceptive content. It activates mental defenses, preparing individuals to resist persuasion attempts. Misinformation can exploit cognitive biases: people tend to put a lot of faith in things they’ve heard repeatedly - a fact that malicious actors manipulate by flooding the Internet with their claims to help legitimise them by creating familiarity. The ‘prebunking’ technique helps to create resilience against misinformation and protects our minds from the harmful effects of misinformation. 

Prebunking essentially helps people control the information they consume by teaching them how to discern between accurate and deceptive content. It enables one to develop critical thinking skills, evaluate sources adequately and identify red flags. By incorporating these components and strategies, prebunking enhances the ability to spot manipulative messages, resist deceptive narratives, and make informed decisions when navigating the very dynamic and complex information landscape online.

CyberPeace Policy Recommendations

• Preventing and fighting misinformation necessitates joint efforts between different stakeholders. The government and policymakers should sponsor prebunking initiatives and information literacy programmes to counter misinformation and adopt systematic approaches. Regulatory frameworks should encourage accountability in the dissemination of online information on various platforms. Collaboration with educational institutions, technological companies and civil society organisations can assist in the implementation of prebunking techniques in a variety of areas.
• Higher educational institutions should support prebunking and media literacy and offer professional development opportunities for educators, and scholars by working with academics and professionals on the subject of misinformation by producing research studies on the grey areas and challenges associated with misinformation.
• Technological companies and social media platforms should improve algorithm transparency, create user-friendly tools and resources, and work with fact-checking organisations to incorporate fact-check labels and tools.
• Civil society organisations and NGOs should promote digital literacy campaigns to spread awareness on misinformation and teach prebunking strategies and critical information evaluation. Training programmes should be available to help people recognise and resist deceptive information using prebunking tactics. Advocacy efforts should support legislation or guidelines that support and encourage prebunking efforts and promote media literacy as a basic skill in the digital landscape. 
• Media outlets and journalists including print & social media should follow high journalistic standards and engage in fact-checking activities to ensure information accuracy before release. Collaboration with prebunking professionals, cyber security experts, researchers and advocacy analysts can result in instructional content and initiatives that promote media literacy, prebunking strategies and misinformation awareness.

Final Words

The World Economic Forum's Global Risks Report 2024 identifies misinformation and disinformation as the top most significant risks for the next two years. Misinformation and disinformation are rampant in today’s digital-first reality, and the ever-growing popularity of social media is only going to see the challenges compound further. It is absolutely imperative for all netizens and stakeholders  to adopt proactive approaches to counter the growing problem of misinformation. Prebunking is a powerful problem-solving tool in this regard because it aims at ‘protection through prevention’ instead of limiting the strategy to harm reduction and redressal.  We can draw parallels with the concept of vaccination or inoculation, reducing the probability of a misinformation infection. Prebunking exposes us to a weakened form of misinformation and provides ways to identify it, reducing the chance false information takes root in our psyches.

The most compelling attribute of this approach is that the focus is not only on preventing damage but also creating widespread ownership and citizen participation in the problem-solving process. Every empowered individual creates an additional layer of protection against the scourge of misinformation, not only making safer choices for themselves but also lowering the risk of spreading false claims to others.  

References

• [1] https://www3.weforum.org/docs/WEF_The_Global_Risks_Report_2024.pdf
• [2] https://prebunking.withgoogle.com/docs/A_Practical_Guide_to_Prebunking_Misinformation.pdf
• [3] https://ijoc.org/index.php/ijoc/article/viewFile/17634/3565

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Executive Summary

A video is being widely shared on social media with the claim that Baloch people celebrated by dancing after Pakistan’s crushing defeat to India in the T20 World Cup. However, research by the CyberPeace found the claim to be misleading. The video is actually from a Lohri celebration held on January 23 at Government College University in Lahore, and is unrelated to any cricket match. India defeated Pakistan by 61 runs in the T20 World Cup 2026 match held in Colombo last Sunday. India scored 175 runs for the loss of seven wickets in 20 overs, while Pakistan were bowled out for 114 runs in 18 overs.

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Claim

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The 30-second video was shared on X with the caption, “Baloch people celebrate India’s victory.” The footage shows a group of men dressed in traditional attire dancing around a fire, while a large crowd gathers around and applauds.

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• https://x.com/IPSinghSp/status/2023307632103350315 

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Fact Check

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To verify the authenticity of the viral claim, key frames from the video were extracted and subjected to reverse image search. The search led to an Instagram post uploaded on January 26, 2026, by an account associated with Government College University Lahore. The caption described the performance as a Balochistan cultural dance held at the university’s amphitheatre.

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• https://www.instagram.com/p/DT9sZg5iCXB/

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Further research  also uncovered another video of the same event, recorded from a different angle and uploaded on January 24, 2026, on Instagram. The caption again confirmed that the event took place at Government College University Lahore.

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• https://www.instagram.com/p/DT3vcXHiIwB/

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Conclusion

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The evidence confirms that the viral video does not show Baloch people celebrating Pakistan’s defeat in the T20 World Cup. Instead, it depicts a cultural dance performance during a Lohri celebration at Government College University Lahore, and has been shared with a misleading claim.

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Introduction

The advent of AI-driven deepfake technology has facilitated the creation of explicit counterfeit videos for sextortion purposes. There has been an alarming increase in the use of Artificial Intelligence to create fake explicit images or videos for sextortion.

What is AI Sextortion and Deepfake Technology

AI sextortion refers to the use of artificial intelligence (AI) technology, particularly deepfake algorithms, to create counterfeit explicit videos or images for the purpose of harassing, extorting, or blackmailing individuals. Deepfake technology utilises AI algorithms to manipulate or replace faces and bodies in videos, making them appear realistic and often indistinguishable from genuine footage. This enables malicious actors to create explicit content that falsely portrays individuals engaging in sexual activities, even if they never participated in such actions.

Background on the Alarming Increase in AI Sextortion Cases

Recently there has been a significant increase in AI sextortion cases. Advancements in AI and deepfake technology have made it easier for perpetrators to create highly convincing fake explicit videos or images. The algorithms behind these technologies have become more sophisticated, allowing for more seamless and realistic manipulations. And the accessibility of AI tools and resources has increased, with open-source software and cloud-based services readily available to anyone. This accessibility has lowered the barrier to entry, enabling individuals with malicious intent to exploit these technologies for sextortion purposes.

The proliferation of sharing content on social media

The proliferation of social media platforms and the widespread sharing of personal content online have provided perpetrators with a vast pool of potential victims’ images and videos. By utilising these readily available resources, perpetrators can create deepfake explicit content that closely resembles the victims, increasing the likelihood of success in their extortion schemes.

Furthermore, the anonymity and wide reach of the internet and social media platforms allow perpetrators to distribute manipulated content quickly and easily. They can target individuals specifically or upload the content to public forums and pornographic websites, amplifying the impact and humiliation experienced by victims.

What are law agencies doing?

The alarming increase in AI sextortion cases has prompted concern among law enforcement agencies, advocacy groups, and technology companies. This is high time to make strong Efforts to raise awareness about the risks of AI sextortion, develop detection and prevention tools, and strengthen legal frameworks to address these emerging threats to individuals’ privacy, safety, and well-being.

There is a need for Technological Solutions, which develops and deploys advanced AI-based detection tools to identify and flag AI-generated deepfake content on platforms and services. And collaboration with technology companies to integrate such solutions.

Collaboration with Social Media Platforms is also needed. Social media platforms and technology companies can reframe and enforce community guidelines and policies against disseminating AI-generated explicit content. And can ensure foster cooperation in developing robust content moderation systems and reporting mechanisms.

There is a need to strengthen the legal frameworks to address AI sextortion, including laws that specifically criminalise the creation, distribution, and possession of AI-generated explicit content. Ensure adequate penalties for offenders and provisions for cross-border cooperation.

Proactive measures to combat AI-driven sextortion

Prevention and Awareness: Proactive measures raise awareness about AI sextortion, helping individuals recognise risks and take precautions.

Early Detection and Reporting: Proactive measures employ advanced detection tools to identify AI-generated deepfake content early, enabling prompt intervention and support for victims.

Legal Frameworks and Regulations: Proactive measures strengthen legal frameworks to criminalise AI sextortion, facilitate cross-border cooperation, and impose offender penalties.

Technological Solutions: Proactive measures focus on developing tools and algorithms to detect and remove AI-generated explicit content, making it harder for perpetrators to carry out their schemes.

International Cooperation: Proactive measures foster collaboration among law enforcement agencies, governments, and technology companies to combat AI sextortion globally.

Support for Victims: Proactive measures provide comprehensive support services, including counselling and legal assistance, to help victims recover from emotional and psychological trauma.

Implementing these proactive measures will help create a safer digital environment for all.

Misuse of Technology

Misusing technology, particularly AI-driven deepfake technology, in the context of sextortion raises serious concerns.

Exploitation of Personal Data: Perpetrators exploit personal data and images available online, such as social media posts or captured video chats, to create AI- manipulation violates privacy rights and exploits the vulnerability of individuals who trust that their personal information will be used responsibly.

Facilitation of Extortion: AI sextortion often involves perpetrators demanding monetary payments, sexually themed images or videos, or other favours under the threat of releasing manipulated content to the public or to the victims’ friends and family. The realistic nature of deepfake technology increases the effectiveness of these extortion attempts, placing victims under significant emotional and financial pressure.

Amplification of Harm: Perpetrators use deepfake technology to create explicit videos or images that appear realistic, thereby increasing the potential for humiliation, harassment, and psychological trauma suffered by victims. The wide distribution of such content on social media platforms and pornographic websites can perpetuate victimisation and cause lasting damage to their reputation and well-being.

Targeting teenagers– Targeting teenagers and extortion demands in AI sextortion cases is a particularly alarming aspect of this issue. Teenagers are particularly vulnerable to AI sextortion due to their increased use of social media platforms for sharing personal information and images. Perpetrators exploit to manipulate and coerce them.

Erosion of Trust: Misusing AI-driven deepfake technology erodes trust in digital media and online interactions. As deepfake content becomes more convincing, it becomes increasingly challenging to distinguish between real and manipulated videos or images.

Proliferation of Pornographic Content: The misuse of AI technology in sextortion contributes to the proliferation of non-consensual pornography (also known as “revenge porn”) and the availability of explicit content featuring unsuspecting individuals. This perpetuates a culture of objectification, exploitation, and non-consensual sharing of intimate material.

Conclusion

Addressing the concern of AI sextortion requires a multi-faceted approach, including technological advancements in detection and prevention, legal frameworks to hold offenders accountable, awareness about the risks, and collaboration between technology companies, law enforcement agencies, and advocacy groups to combat this emerging threat and protect the well-being of individuals online.