#FactCheck-Old Video of Dangerous Auto-Rickshaw Stunt on Delhi’s Signature Bridge Falsely Linked to Prayagraj
Executive Summary
A picture is rapidly going viral on social media, showing Indian cricketer Virat Kohli and actor Anushka Sharma having breakfast together. Users are sharing this photo, presenting it as a "candid" (real) moment.
Research by the CyberPeace Research Wing revealed that the photo of Virat Kohli and Anushka Sharma having breakfast is completely fake. This image does not depict a real moment, but has been created using Artificial Intelligence (AI).
Claim
A picture is rapidly going viral on social media, showing Indian cricketer Virat Kohli and actor Anushka Sharma having breakfast together. Users are sharing this photo, presenting it as a "candid" (real) moment.
https://www.facebook.com/reel/951138134598230

Fact Check
We extracted several keyframes from the viral video and searched them using the Google Lens tool. We found that this video was also quite viral on X (formerly Twitter). Responding to users, the official X handle of DCP Yamuna Nagar, Prayagraj, stated, “Upon a detailed research of the said matter/video, it has been found that it is not from the Naini Yamuna Bridge, but is a 2.5-year-old video from Delhi’s Signature Bridge. Please do not spread misleading information, otherwise legal action will be initiated against it.”

During our search, we found a post on the official X handle of the Delhi Police. Sharing the viral video, they wrote that taking cognizance of the auto-rickshaw stunt incident on the Signature Bridge, the Delhi Traffic Police seized the auto-rickshaw and issued a challan totaling ₹32,000 under various sections of the Motor Vehicles Act.
https://x.com/DelhiPolice/status/1735268792434057352?s=20

Conclusion
In our research, the viral post turned out to be fake. A video of an incident that took place on Delhi's Signature Bridge in 2023 is now being falsely circulated to spread misinformation as an incident from a bridge in Prayagraj. No such incident has taken place on the Naini Bridge in Prayagraj.
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Executive Summary:
A fake photo claiming to show the cricketer Virat Kohli watching a press conference by Rahul Gandhi before a match, has been widely shared on social media. The original photo shows Kohli on his phone with no trace of Gandhi. The incident is claimed to have happened on March 21, 2024, before Kohli's team, Royal Challengers Bangalore (RCB), played Chennai Super Kings (CSK) in the Indian Premier League (IPL). Many Social Media accounts spread the false image and made it viral.

Claims:
The viral photo falsely claims Indian cricketer Virat Kohli was watching a press conference by Congress leader Rahul Gandhi on his phone before an IPL match. Many Social media handlers shared it to suggest Kohli's interest in politics. The photo was shared on various platforms including some online news websites.




Fact Check:
After we came across the viral image posted by social media users, we ran a reverse image search of the viral image. Then we landed on the original image posted by an Instagram account named virat__.forever_ on 21 March.

The caption of the Instagram post reads, “VIRAT KOHLI CHILLING BEFORE THE SHOOT FOR JIO ADVERTISEMENT COMMENCE.❤️”

Evidently, there is no image of Congress Leader Rahul Gandhi on the Phone of Virat Kohli. Moreover, the viral image was published after the original image, which was posted on March 21.

Therefore, it’s apparent that the viral image has been altered, borrowing the original image which was shared on March 21.
Conclusion:
To sum up, the Viral Image is altered from the original image, the original image caption tells Cricketer Virat Kohli chilling Before the Jio Advertisement commences but not watching any politician Interview. This shows that in the age of social media, where false information can spread quickly, critical thinking and fact-checking are more important than ever. It is crucial to check if something is real before sharing it, to avoid spreading false stories.
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Introduction
The spread of misinformation online has become a significant concern, with far-reaching social, political, economic and personal implications. The degree of vulnerability to misinformation differs from person to person, dependent on psychological elements such as personality traits, familial background and digital literacy combined with contextual factors like information source, repetition, emotional content and topic. How to reduce misinformation susceptibility in real-world environments where misinformation is regularly consumed on social media remains an open question. Inoculation theory has been proposed as a way to reduce susceptibility to misinformation by informing people about how they might be misinformed. Psychological inoculation campaigns on social media are effective at improving misinformation resilience at scale.
Prebunking has gained prominence as a means to preemptively build resilience against anticipated exposure to misinformation. This approach, grounded in Inoculation Theory, allows people to analyse and avoid manipulation without prior knowledge of specific misleading content by helping them build generalised resilience. We may draw a parallel here with broad spectrum antibiotics that can be used to fight infections and protect the body against symptoms before one is able to identify the particular pathogen at play.
Inoculation Theory and Prebunking
Inoculation theory is a promising approach to combat misinformation in the digital age. It involves exposing individuals to weakened forms of misinformation before encountering the actual false information. This helps develop resistance and critical thinking skills to identify and counter deceptive content.
Inoculation theory has been established as a robust framework for countering unwanted persuasion and can be applied within the modern context of online misinformation:
- Preemptive Inoculation: Preemptive inoculation entails exposing people to weaker kinds of misinformation before they encounter genuine erroneous information. Individuals can build resistance and critical thinking abilities by being exposed to typical misinformation methods and strategies.
- Technique/logic based Inoculation: Individuals can educate themselves about typical manipulative strategies used in online misinformation, which could be emotionally manipulative language, conspiratorial reasoning, trolling and logical fallacies. Learning to recognise these tactics as indicators of misinformation is an important first step to being able to recognise and reject the same. Through logical reasoning, individuals can recognize such tactics for what they are: attempts to distort the facts or spread misleading information. Individuals who are equipped with the capacity to discern weak arguments and misleading methods may properly evaluate the reliability and validity of information they encounter on the Internet.
- Educational Campaigns: Educational initiatives that increase awareness about misinformation, its consequences, and the tactics used to manipulate information can be useful inoculation tools. These programmes equip individuals with the knowledge and resources they need to distinguish between reputable and fraudulent sources, allowing them to navigate the online information landscape more successfully.
- Interactive Games and Simulations: Online games and simulations, such as ‘Bad News,’ have been created as interactive aids to protect people from misinformation methods. These games immerse users in a virtual world where they may learn about the creation and spread of misinformation, increasing their awareness and critical thinking abilities.
- Joint Efforts: Combining inoculation tactics with other anti-misinformation initiatives, such as accuracy primes, building resilience on social media platforms, and media literacy programmes, can improve the overall efficacy of our attempts to combat misinformation. Expert organisations and people can build a stronger defence against the spread of misleading information by using many actions at the same time.
CyberPeace Policy Recommendations for Tech/Social Media Platforms
Implementation of the Inoculation Theory on social media platforms can be seen as an effective strategy point for building resilience among users and combating misinformation. Tech/social media platforms can develop interactive and engaging content in the form of educational prebunking videos, short animations, infographics, tip sheets, and misinformation simulations. These techniques can be deployed through online games, collaborations with influencers and trusted sources that help design and deploy targeted campaigns whilst also educating netizens about the usefulness of Inoculation Theory so that they can practice critical thinking.
The approach will inspire self-monitoring amongst netizens so that people consume information mindfully. It is a powerful tool in the battle against misinformation because it not only seeks to prevent harm before it occurs, but also actively empowers the target audience. In other words, Inoculation Theory helps build people up, and takes them on a journey of transformation from ‘potential victim’ to ‘warrior’ in the battle against misinformation. Through awareness-building, this approach makes people more aware of their own vulnerabilities and attempts to exploit them so that they can be on the lookout while they read, watch, share and believe the content they receive online.
Widespread adoption of Inoculation Theory may well inspire systemic and technological change that goes beyond individual empowerment: these interventions on social media platforms can be utilized to advance digital tools and algorithms so that such interventions and their impact are amplified. Additionally, social media platforms can explore personalized inoculation strategies, and customized inoculation approaches for different audiences so as to be able to better serve more people. One such elegant solution for social media platforms can be to develop a dedicated prebunking strategy that identifies and targets specific themes and topics that could be potential vectors for misinformation and disinformation. This will come in handy, especially during sensitive and special times such as the ongoing elections where tools and strategies for ‘Election Prebunks’ could be transformational.
Conclusion
Applying Inoculation Theory in the modern context of misinformation can be an effective method of establishing resilience against misinformation, help in developing critical thinking and empower individuals to discern fact from fiction in the digital information landscape. The need of the hour is to prioritize extensive awareness campaigns that encourage critical thinking, educate people about manipulation tactics, and pre-emptively counter false narratives associated with information. Inoculation strategies can help people to build mental amour or mental defenses against malicious content and malintent that they may encounter in the future by learning about it in advance. As they say, forewarned is forearmed.
References
- https://www.science.org/doi/10.1126/sciadv.abo6254
- https://stratcomcoe.org/publications/download/Inoculation-theory-and-Misinformation-FINAL-digital-ISBN-ebbe8.pdf

Introduction
The United Nations General Assembly (UNGA) has unanimously adopted the first global resolution on Artificial Intelligence (AI), encouraging countries to take into consideration human rights, keeping personal data safe, and further monitoring the threats associated with AI. This non-binding resolution proposed by the United States and co-sponsored by China and over 120 other nations advocates the strengthening of privacy policies. This step is crucial for governments across the world to shape how AI grows because of the dangers it carries that could undermine the protection, promotion, and right to human dignity and fundamental freedoms. The resolution emphasizes the importance of respecting human rights and fundamental freedoms throughout the life cycle of AI systems, highlighting the benefits of digital transformation and safe AI systems.
Key highlights
● This is indeed a landmark move by the UNGA, which adopted the first global resolution on AI. This resolution encourages member countries to safeguard human rights, protect personal data, and monitor AI for risks.
● Global leaders have shown their consensus for safe, secure, trustworthy AI systems that advance sustainable development and respect fundamental freedom.
● Resolution is the latest in a series of initiatives by governments around the world to shape AI. Therefore, AI will have to be created and deployed through the lens of humanity and dignity, Safety and Security, human rights and fundamental freedoms throughout the life cycle of AI systems.
● UN resolution encourages global cooperation, warns against improper AI use, and emphasizes the issues of human rights.
● The resolution aims to protect from potential harm and ensure that everyone can enjoy its benefits. The United States has worked with over 120 countries at the United Nations, including Russia, China, and Cuba, to negotiate the text of the resolution adopted.
Brief Analysis
AI has become increasingly prevalent in recent years, with chatbots such as the Chat GPT taking the world by storm. AI has been steadily attempting to replicate human-like thinking and solve problems. Furthermore, machine learning, a key aspect of AI, involves learning from experience and identifying patterns to solve problems autonomously. The contemporary emergence of AI has, however, raised questions about its ethical implications, potential negative impact on society, and whether it is too late to control it.
While AI is capable of solving problems quickly and performing various tasks with ease, it also has its own set of problems. As AI continues to grow, global leaders have called for regulations to prevent significant harm due to the unregulated AI landscape to the world and encourage the use of trustworthy AI. The European Union (EU) has come up with an AI act called the “European AI Act”. Recently, a Senate bill called “The AI Consent Bill” was introduced in the US. Similarly, India is also proactively working towards setting the stage for a more regulated Al landscape by fostering dialogues and taking significant measures. Recently, the Ministry of Electronics and Information Technology (MeitY) issued an advisory on AI, which requires explicit permission to deploy under-testing or unreliable AI models related to India's Internet. The following advisory also indicates measures advocating to combat deepfakes or misinformation.
AI has thus become a powerful tool that has raised concerns about its ethical implications and the potential negative influence on society. Governments worldwide are taking action to regulate AI and ensure that it remains safe and effective. Now, the groundbreaking move of the UNGA, which adopted the global resolution on AI, with the support of all 193 U.N. member nations, shows the true potential of efforts by countries to regulate AI and promote safe and responsible use globally.
New AI tools have emerged in the public sphere, which may threaten humanity in an unexpected direction. AI is able to learn by itself through machine learning to improve itself, and developers often are surprised by the emergent abilities and qualities of these tools. The ability to manipulate and generate language, whether with words, images, or sounds, is the most important aspect of the current phase of the ongoing AI Revolution. In the future, AI can have several implications. Hence, it is high time to regulate AI and promote the safe, secure and responsible use of it.
Conclusion
The UNGA has approved its global resolution on AI, marking significant progress towards creating global standards for the responsible development and employment of AI. The resolution underscores the critical need to protect human rights, safeguard personal data, and closely monitor AI technologies for potential hazards. It calls for more robust privacy regulations and recognises the dangers associated with improper AI systems. This profound resolution reflects a unified stance among UN member countries on overseeing AI to prevent possible negative effects and promote safe, secure and trustworthy AI.
References