#FactCheck - AI-Generated Image Falsely Shows Tamil Nadu CM Vijay Touching Rahul Gandhi’s Feet

Executive Summary:

A misleading video has been widely shared online, falsely portraying Pandit Jawaharlal Nehru stating that he was not involved in the Indian independence struggle and he even opposed it. The video is a manipulated excerpt from Pandit Nehru’s final major interview in 1964 with American TV host Arnold Mich. The original footage available on India’s state broadcaster Prasar Bharati’s YouTube channel shows Pandit Nehru discussing about Muhammad Ali Jinnah, stating that Jinnah did not participate in the independence movement and opposed it. The viral video falsely edits Pandit Nehru’s comments to create a false narrative, which has been debunked upon reviewing the full, unedited interview.

Claims:

In the viral video, Pandit Jawaharlal Nehru states that he was not involved in the fight for Indian independence and even opposed it.

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Fact check:

Upon receiving the posts, we thoroughly checked the video and then we divided the video into keyframes using the inVid tool. We reverse-searched one of the frames of the video. We found a video uploaded by Prasar Bharati Archives official YouTube channel on 14 May 2019.

The description of the video reads, “Full video recording of what was perhaps Pandit Jawaharlal Nehru's last significant interview to American TV Host Arnold Mich Jawaharlal Nehru's last TV Interview - May 1964e his death. Another book by Chandrika Prasad provides a date of 18th May 1964  when the interview was aired in New York, this is barely a few days before the death of Pandit Nehru on 27th May 1964.”

On reviewing the full video, we found that the viral clip of Pandit Nehru runs from 14:50 to 15:45. In this portion, Pandit Nehru is speaking about Muhammad Ali Jinnah, a key leader of the Muslim League.

At the timestamp 14:34, the American TV interviewer Arnold Mich says, “You and Mr. Gandhi and Mr. Jinnah, you were all involved at that point of Independence and then partition in the fight for Independence of India from the British domination.” Pandit Nehru replied, “Mr. Jinnah was not involved in the fight for independence at all. In fact, he opposed it. Muslim League was started in about 1911 I think. It was started really by the British encouraged by them so as to create factions, they did succeed to some extent. And ultimately there came the partition.” 

Upon thoroughly analyzing we found that the viral video is an edited version of the real video to misrepresent the actual context of the video.

We also found the same interview uploaded on a Facebook page named Nehru Centre for Social Research on 1 December 2021.

Hence, the viral claim video is misleading and fake.

Hence, the viral video is fake and misleading and netizens must be careful while believing in such an edited video.

Conclusion:

In conclusion, the viral video claiming that Pandit Jawaharlal Nehru stated that he was not involved in the Indian independence struggle is found to be falsely edited. The original footage reveals that Pandit Nehru was referring to Muhammad Ali Jinnah's participation in the struggle, not his own. This explanation debunks the false story conveyed by the manipulated video.

• Claim:  Pandit Jawaharlal Nehru stated that he was not involved in the struggle for Indian independence and even he opposed it.
• Claimed on: YouTube, LinkedIn, Facebook, X (Formerly known as Twitter)
• Fact Check: Fake & Misleading

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Introduction

Smartphones have revolutionised human connectivity. In 2023, it was estimated that almost 96% of the global digital population is accessing the internet via their mobile phones and India alone has 1.05 billion users. Information consumption has grown exponentially due to the enhanced accessibility that these mobiles provide. These devices allow accessibility to information no matter where one is, and have completely transformed how we engage with the world around us, be it to skim through work emails while commuting, video streaming during breaks, reading an ebook at our convenience or even catching up on news at any time or place. Mobile phones  grant us instant access to the web and are always within reach. 

But this instant connection has its downsides too, and one of the most worrying of these is the rampant rise of misinformation. These tiny screens and our constant, on-the-go dependence on them can be directly linked to the spread of “fake news,” as people consume more and more content in rapid bursts, without taking the time to really process the same or think deeply about its authenticity. There is an underlying cultural shift in how we approach information and learning currently: the onslaught of vast amounts of “bite-sized information” discourages people from researching what they’re being told or shown. The focus has shifted from learning deeply to consuming more and sharing faster. And this change in audience behaviour is making us vulnerable to misinformation, disinformation and unchecked foreign influence.

The Growth of Mobile Internet Access 

More than 5 billion people are connected to the internet and web traffic is increasing rapidly. The developed countries in North America and Europe are experiencing mobile internet penetration at a universal rate.  Contrastingly, the developing countries of Africa, Asia, and Latin America are experiencing rapid growth in this penetration. The introduction of affordable smartphones and low-cost mobile data plans has expanded access to internet connectivity. 4G and 5G infrastructure development have further bridged any connectivity gaps. This widespread access to the mobile internet has democratised information, allowing millions of users to participate in the digital economy.  Access to educational resources while at the same time engaging in global conversations is one such example of the democratisation of information. This reduces the digital divide between diverse groups and empowers communities with unprecedented access to knowledge and opportunities.

The Nature of Misinformation in the Mobile Era 

Misinformation spread has become more prominent in recent times and one of the contributing factors is the rise of mobile internet. This instantaneous connection has made social media platforms like Facebook, WhatsApp, and X (formerly Twitter) available on a single compact and portable device. These social media platforms enable users to share content instantly and to a wide user base, many times without verifying its accuracy. The virality of social media sharing, where posts can reach thousands of users in seconds, accelerates the spread of false information. This ease of sharing, combined with algorithms that prioritise engagement, creates a fertile ground for misinformation to flourish, misleading vast numbers of people before corrections or factual information can be disseminated. 

Some of the factors that are amplifying misinformation sharing through mobile internet are algorithmic amplification which prioritises engagement, the ease of sharing content due to instant access and user-generated content, the limited media literacy of users and the echo chambers which reinforce existing biases and spread false information. 

Gaps and Challenges due to the increased accessibility of  Mobile Internet 

Despite growing concerns about misinformation spread due to mobile internet, policy responses remain inadequate, particularly in developing countries. These gaps include: the lack of algorithm regulation, as social media platforms prioritise engaging content, often fueling misinformation. Inadequate international cooperation further complicates enforcement, as addressing the cross-border nature of misinformation has been a struggle for national regulations. 

Additionally, balancing content moderation with free speech remains challenging, with efforts to curb misinformation sometimes leading to concerns over censorship. 

Finally, a deficit in media literacy leaves many vulnerable to false information. Governments and international organisations must prioritise public education to equip users with the required skills to evaluate online content, especially in low-literacy regions.

CyberPeace Recommendations

Addressing misinformation via mobile internet requires a collaborative, multi-stakeholder approach. 

• Governments should mandate algorithm transparency, ensuring social media platforms disclose how content is prioritised and give users more control. 
• Collaborative fact-checking initiatives between governments, platforms, and civil society could help flag or correct false information before it spreads, especially during crises like elections or public health emergencies. 
• International organisations should lead efforts to create standardised global regulations to hold platforms accountable across borders. 
• Additionally, large-scale digital literacy campaigns are crucial, teaching the public how to assess online content and avoid misinformation traps.

Conclusion

Mobile internet access has transformed information consumption and bridged the digital divide. At the same time, it has also accelerated the spread of misinformation. The global reach and instant nature of mobile platforms, combined with algorithmic amplification, have created significant challenges in controlling the flow of false information. Addressing this issue requires a collective effort from governments, tech companies, and civil society to implement transparent algorithms, promote fact-checking, and establish international regulatory standards. Digital literacy should be enhanced to empower users to assess online content and counter any risks that it poses.  

References

• https://www.statista.com/statistics/1289755/internet-access-by-device-worldwide/ 
• https://www.forbes.com/sites/kalevleetaru/2019/05/01/are-smartphones-making-fake-news-and-disinformation-worse/
• https://www.pewresearch.org/short-reads/2019/03/07/7-key-findings-about-mobile-phone-and-social-media-use-in-emerging-economies/ft_19-02-28_globalmobilekeytakeaways_misinformation/ 
• https://www.psu.edu/news/research/story/slow-scroll-users-less-vigilant-about-misinformation-mobile-phones 

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Introduction

The mysteries of the universe have been a subject of curiosity for humans over thousands of years. To solve these unfolding mysteries of the universe, astrophysicists are always busy, and with the growing technology this seems to be achievable. Recently, with the help of Artificial Intelligence (AI), scientists have discovered the depths of the cosmos. AI has revealed the secret equation that properly “weighs” galaxy clusters. This groundbreaking discovery not only sheds light on the formation and behavior of these clusters but also marks a turning point in the investigation and discoveries of new cosmos. Scientists and AI have collaborated to uncover an astounding 430,000 galaxies strewn throughout the cosmos. The large haul includes 30,000 ring galaxies, which are considered the most unusual of all galaxy forms. The discoveries are the first outcomes of the "GALAXY CRUISE" citizen science initiative. They were given by 10,000 volunteers who sifted through data from the Subaru Telescope. After training the AI on 20,000 human-classified galaxies, scientists released it loose on 700,000 galaxies from the Subaru data. 

Brief Analysis

A group of astronomers from the National Astronomical Observatory of Japan (NAOJ) have successfully applied AI to ultra-wide field-of-view images captured by the Subaru Telescope. The researchers achieved a high accuracy rate in finding and classifying spiral galaxies, with the technique being used alongside citizen science for future discoveries.

Astronomers are increasingly using AI to analyse and clean raw astronomical images for scientific research. This involves feeding photos of galaxies into neural network algorithms, which can identify patterns in real data more quickly and less prone to error than manual classification. These networks have numerous interconnected nodes and can recognise patterns, with algorithms now 98% accurate in categorising galaxies.

Another application of AI is to explore the nature of the universe, particularly dark matter and dark energy, which make up over 95% energy of the universe. The quantity and changes in these elements have significant implications for everything from galaxy arrangement.

AI is capable of analysing massive amounts of data, as training data for dark matter and energy comes from complex computer simulations. The neural network is fed these findings to learn about the changing parameters of the universe, allowing cosmologists to target the network towards actual data.

These methods are becoming increasingly important as astronomical observatories generate enormous amounts of data. High-resolution photographs of the sky will be produced from over 60 petabytes of raw data by the Vera C. AI-assisted computers are being utilized for this.

Data annotation techniques for training neural networks include simple tagging and more advanced types like image classification, which classify an image to understand it as a whole. More advanced data annotation methods, such as semantic segmentation, involve grouping an image into clusters and giving each cluster a label.

This way, AI is being used for space exploration and is becoming a crucial tool. It also enables the processing and analysis of vast amounts of data. This advanced technology is fostering the understanding of the universe. However, clear policy guidelines and ethical use of technology should be prioritized while harnessing the true potential of contemporary technology. 

Policy Recommendation

• Real-Time Data Sharing and Collaboration - Effective policies and frameworks should be established to promote real-time data sharing among astronomers, AI developers and research institutes. Open access to astronomical data should be encouraged to facilitate better innovation and bolster the application of AI in space exploration. 
  

• Ethical AI Use - Proper guidelines and a well-structured ethical framework can facilitate judicious AI use in space exploration. The framework can play a critical role in addressing AI issues pertaining to data privacy, AI Algorithm bias and transparent decision-making processes involving AI-based tech. 
• Investing in Research and Development (R&D) in the AI sector - Government and corporate giants should prioritise this opportunity to capitalise on the avenue of AI R&D in the field of space tech and exploration. Such as funding initiatives focusing on developing AI algorithms coded for processing astronomical data, optimising telescope operations and detecting celestial bodies.
• Citizen Science and Public Engagement - Promotion of citizen science initiatives can allow better leverage of AI tools to involve the public in astronomical research. Prominent examples include the SETI @ Home program (Search for Extraterrestrial Intelligence), encouraging better outreach to educate and engage citizens in AI-enabled discovery programs such as the identification of exoplanets, classification of galaxies and discovery of life beyond earth through detecting anomalies in radio waves. 
• Education and Training - Training programs should be implemented to educate astronomers in AI techniques and the intricacies of data science. There is a need to foster collaboration between AI experts, data scientists and astronomers to harness the full potential of AI in space exploration. 
• Bolster Computing Infrastructure - Authorities should ensure proper computing infrastructure should be implemented to facilitate better application of AI in astronomy. This further calls for greater investment in high-performance computing devices and structures to process large amounts of data and AI modelling to analyze astronomical data. 

Conclusion

AI has seen an expansive growth in the field of space exploration. As seen, its multifaceted use cases include discovering new galaxies and classifying celestial objects by analyzing the changing parameters of outer space. Nevertheless, to fully harness its potential, robust policy and regulatory initiatives are required to bolster real-time data sharing not just within the scientific community but also between nations. Policy considerations such as investment in research, promoting citizen scientific initiatives and ensuring education and funding for astronomers. A critical aspect is improving key computing infrastructure, which is crucial for processing the vast amount of data generated by astronomical observatories. 

References

• https://mindy-support.com/news-post/astronomers-are-using-ai-to-make-discoveries/
• https://www.space.com/citizen-scientists-artificial-intelligence-galaxy-discovery
• https://www.sciencedaily.com/releases/2024/03/240325114118.htm
• https://phys.org/news/2023-03-artificial-intelligence-secret-equation-galaxy.html
• https://www.space.com/astronomy-research-ai-future

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