#FactCheck - "Viral Video Misleadingly Claims Surrender to Indian Army, Actually Shows Bangladesh Army”

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:

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.

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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

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Executive Summary:

A video clip being circulated on social media allegedly shows the Hon’ble President of India, Smt. Droupadi Murmu, the TV anchor Anjana Om Kashyap and the Hon’ble Chief Minister of Uttar Pradesh, Shri Yogi Adityanath promoting a medicine for diabetes. While The CyberPeace Research Team did a thorough investigation, the claim was found to be not true. The video was digitally edited, with original footage of the heavy weight persons being altered to falsely suggest their endorsement of the medication. Specific discrepancies were found in the lip movements and context of the clips which indicated AI Manipulation. Additionally, the distinguished persons featured in the video were actually discussing unrelated topics in their original footage. Therefore, the claim that the video shows endorsements of a diabetes drug by such heavy weights is debunked. The conclusion drawn from the analysis is that the video is an AI creation and does not reflect any genuine promotion. Furthermore, it's also detected by AI voice detection tools.

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Claims:

A video making the rounds on social media purporting to show the Hon'ble President of India, Smt. Draupadi Murmu, TV anchor Anjana Om Kashyap, and Hon'ble Chief Minister of Uttar Pradesh Shri Yogi Adityanath giving their endorsement to a diabetes medicine.

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      Post link

Fact Check:

Upon receiving the post we carefully watched the video and certainly found some discrepancies between lip synchronization and the word that we can hear. Also the voice of Chief Minister of Uttar Pradesh Shri Yogi Adityanath seems to be suspicious which clearly indicates some sign of fabrication. In the video, we can hear Hon'ble President of India Smt. Droupadi Murmu endorses a medicine that cured her diabetes. We then divided the video into keyframes, and reverse-searched one of the frames of the video. We landed on a video uploaded by Aaj Tak on their official YouTube Channel.

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Video link

We found something similar to the same viral video, we can see the courtesy written as Sansad TV. Taking a cue from this we did some keyword searches and found another video uploaded by the YouTube Channel Sansad TV. In this video, we found no mention of any diabetes medicine. It was actually the Swearing in Ceremony of the Hon’ble President of India, Smt. Droupadi Murmu.

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Video link

In the second part, there was a man addressed as Dr. Abhinash Mishra who allegedly invented the medicine that cures diabetes. We reverse-searched the image of that person and landed at a CNBC news website where the same face was identified as Dr Atul Gawande who is a professor at Harvard School of Public Health. We watched the video and found no sign of endorsing or talking about any diabetes medicine he invented.

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Website link

We also extracted the audio from the viral video and analyzed it using the AI audio detection tool named Eleven Labs, which found the audio very likely to be created using the AI Voice generation tool with the probability of 98%. 

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Hence, the Claim made in the viral video is false and misleading. The Video is digitally edited using different clips and the audio is generated using the AI Voice creation tool to mislead netizens. It is worth noting that we have previously debunked such voice-altered news with bogus claims.

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Conclusion:

In conclusion, the viral video claiming that Hon'ble President of India, Smt. Droupadi Murmu and Chief Minister of Uttar Pradesh Shri Yogi Adityanath promoted a diabetes medicine that cured their diabetes, is found to be false. Upon thorough investigation it was found that the video is digitally edited from different clips, the clip of Hon'ble President of India, Smt. Droupadi Murmu is taken from the clip of Oath Taking Ceremony of 15th President of India and the claimed doctor Abhinash Mishra whose video was found in CNBC News Outlet. The real name of the person is Dr. Atul Gawande who is a professor at Harvard School of Public Health. Online users must be careful while receiving such posts and should verify before sharing them with others.

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Claim: A video is being circulated on social media claiming to show distinguished individuals promoting  a particular medicine for diabetes treatment.

Claimed on: Facebook

Fact Check: Fake & Misleading

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AI has grown manifold in the past decade and so has its reliance. A MarketsandMarkets study estimates the AI market to reach $1,339 billion by 2030. Further, Statista reports that ChatGPT amassed more than a million users within the first five days of its release, showcasing its rapid integration into our lives. This development and integration have their risks. Consider this response from Google’s AI chatbot, Gemini to a student’s homework inquiry: “You are not special, you are not important, and you are not needed…Please die.” In other instances, AI has suggested eating rocks for minerals or adding glue to pizza sauce. Such nonsensical outputs are not just absurd; they’re dangerous. They underscore the urgent need to address the risks of unrestrained AI reliance. 

AI’s Rise and Its Limitations

The swiftness of AI’s rise, fueled by OpenAI's GPT series, has revolutionised fields like natural language processing, computer vision, and robotics. Generative AI Models like GPT-3, GPT-4 and GPT-4o with their advanced language understanding, enable learning from data, recognising patterns, predicting outcomes and finally improving through trial and error. However, despite their efficiency, these AI models are not infallible. Some seemingly harmless outputs can spread toxic misinformation or cause harm in critical areas like healthcare or legal advice. These instances underscore the dangers of blindly trusting AI-generated content and highlight the importance and the need to understand its limitations.

Defining the Problem: What Constitutes “Nonsensical Answers”?

Harmless errors due to AI nonsensical responses can be in the form of a wrong answer for a trivia question, whereas, critical failures could be as damaging as wrong legal advice. 

AI algorithms sometimes produce outputs that are not based on training data, are incorrectly decoded by the transformer or do not follow any identifiable pattern. This response is known as a Nonsensical Answer and the situation is known as an “AI Hallucination”. It can be factual inaccuracies, irrelevant information or even contextually inappropriate responses. 

A significant source of hallucination in machine learning algorithms is the bias in input that it receives. If the inputs for the AI model are full of biased datasets or unrepresentative data, it may lead to the model hallucinating and producing results that reflect these biases. These models are also vulnerable to adversarial attacks, wherein bad actors manipulate the output of an AI model by tweaking the input data ina subtle manner.

The Need for Policy Intervention

Nonsensical AI responses risk eroding user trust and causing harm, highlighting the need for accountability despite AI’s opaque and probabilistic nature. Different jurisdictions address these challenges in varied ways. The EU’s AI Act enforces stringent reliability standards with a risk-based and transparent approach. The U.S. emphasises creating ethical guidelines and industry-driven standards. India’s DPDP Act indirectly tackles AI safety through data protection, focusing on the principles of accountability and consent. While the EU prioritises compliance, the U.S. and India balance innovation with safeguards. This reflects on the diverse approaches that nations have to AI regulation.

Where Do We Draw the Line?

The critical question is whether AI policies should demand perfection or accept a reasonable margin for error. Striving for flawless AI responses may be impractical, but a well-defined framework can balance innovation and accountability. Adopting these simple measures can lead to the creation of an ecosystem where AI develops responsibly while minimising the societal risks it can pose. Key measures to achieve this include:

• Ensure that users are informed about AI and its capabilities and limitations. Transparent communication is the key to this.  
• Implement regular audits and rigorous quality checks to maintain high standards. This will in turn prevent any form of lapses.
• Establishing robust liability mechanisms to address any harms caused by AI-generated material which is in the form of misinformation. This fosters trust and accountability.

CyberPeace Key Takeaways: Balancing Innovation with Responsibility

The rapid growth in AI development offers immense opportunities but this must be done responsibly. Overregulation of AI can stifle innovation, on the other hand, being lax could lead to unintended societal harm or disruptions. 

Maintaining a balanced approach to development is essential. Collaboration between stakeholders such as governments, academia, and the private sector is important. They can ensure the establishment of guidelines, promote transparency, and create liability mechanisms. Regular audits and promoting user education can build trust in AI systems. Furthermore, policymakers need to prioritise user safety and trust without hindering creativity while making regulatory policies. 

We can create a future that is AI-development-driven and benefits us all by fostering ethical AI development and enabling innovation. Striking this balance will ensure AI remains a tool for progress, underpinned by safety, reliability, and human values.

References

• https://timesofindia.indiatimes.com/technology/tech-news/googles-ai-chatbot-tells-student-you-are-not-needed-please-die/articleshow/115343886.cms
• https://www.forbes.com/advisor/business/ai-statistics/#2 
• https://www.reuters.com/legal/legalindustry/artificial-intelligence-trade-secrets-2023-12-11/ ‍
• https://www.indiatoday.in/technology/news/story/chatgpt-has-gone-mad-today-openai-says-it-is-investigating-reports-of-unexpected-responses-2505070-2024-02-21