#FactCheck - Old Video of Khamenei Manipulated With AI Voice, Viral Claim Misleading

Introduction

The first activity one engages in while using social media is scrolling through their feed and liking or reacting to posts. Social media users' online activity is passive, involving merely reading and observing, while active use occurs when a user consciously decides to share information or comment after actively analysing it. We often "like" photos, posts, and tweets reflexively, hardly stopping to think about why we do it and what information it contains. This act of "liking" or "reacting" is a passive activity that can spark an active discourse. Frequently, we encounter misinformation on social media in various forms, which could be identified as false at first glance if we exercise caution and avoid validating it with our likes.

Passive engagement, such as liking or reacting to a post, triggers social media algorithms to amplify its reach, exposing it to a broader audience. This amplification increases the likelihood of misinformation spreading quickly as more people interact with it. As the content circulates, it gains credibility through repeated exposure, reinforcing false narratives and expanding its impact.

Social media platforms are designed to facilitate communication and conversations for various purposes. However, this design also enables the sharing, exchange, distribution, and reception of content, including misinformation. This can lead to the widespread spread of false information, influencing public opinion and behaviour. Misinformation has been identified as a contributing factor in various contentious events, ranging from elections and referenda to political or religious persecution, as well as the global response to the COVID-19 pandemic.

The Mechanics of Passive Sharing

Sharing a post without checking the facts mentioned or sharing it without providing any context can create situations where misinformation can be knowingly or unknowingly spread. The problem with sharing and forwarding information on social media without fact-checking is that it usually starts in small, trusted networks before going on to be widely seen across the internet. This web which begins is infinite and cutting it from the roots is necessary. The rapid spread of information on social media is driven by algorithms that prioritise engagement and often they amplify misleading or false content and contribute to the spread of misinformation.  The algorithm optimises the feed and ensures that the posts that are most likely to engage with appear at the top of the timeline, thus encouraging a cycle of liking and posting that keeps users active and scrolling.

The internet reaches billions of individuals and enables them to tailor persuasive messages to the specific profiles of individual users. The internet because of its reach is an ideal medium for the fast spread of falsehoods at the expense of accurate information. 

Recommendations for Combating Passive Sharing

The need to combat passive sharing that we indulge in is important and some ways in which we can do so are as follows:

• We need to critically evaluate the sources before sharing any content. This will ensure that the information source is not corrupted and used as a means to cause disruptions. The medium should not be used to spread misinformation due to the source's ulterior motives. Tools such as crowdsourcing and AI methods have been used in the past to evaluate the sources and have been successful to an extent.
• Engaging with fact-checking tools and verifying the information is also crucial. The information that has been shared on the post needs to be verified through authenticated sources before indulging in the practice of sharing. 
• Being mindful of the potential impact of online activity, including likes and shares is important. The kind of reach that social media users have today is due to several reasons ranging from the content they create, the rate at which they engage with other users etc.  Liking and sharing content might not seem much for an individual user but the impact it has collectively is huge.

Conclusion 

Passive sharing of misinformation, like liking or sharing without verification, amplifies false information, erodes trust in legitimate sources, and deepens social and political divides. It can lead to real-world harm and ethical dilemmas. To combat this, critical evaluation, fact-checking, and mindful online engagement are essential to mitigating this passive spread of misinformation. The small act of “like” or “share” has a much more far-reaching effect than we anticipate and we should be mindful of all our activities on the digital platform. 

References

• https://www.tandfonline.com/doi/full/10.1080/00049530.2022.2113340#summary-abstract 
• https://timesofindia.indiatimes.com/city/thane/badlapur-protest-police-warn-against-spreading-fake-news/articleshow/112750638.cms

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Introduction

26th November 2024 marked a historical milestone for India as a Hyderabad-based space technology firm TakeMe2Space, announced the forthcoming launch of MOI-TD “(My Orbital Infrastructure - Technology Demonstrator)”, India's first AI lab in space. The mission will demonstrate real-time data processing in orbit, making space research more affordable and accessible according to the Company. The launch is scheduled for mid-December 2024 aboard the ISRO's PSLV C60 launch vehicle. It represents a transformative phase for innovation and exploration in India's AI and space technology integration space. 

The Vision Behind the Initiative

The AI Laboratory in orbit is designed to enable autonomous decision-making, revolutionising satellite exploration and advancing cutting-edge space research. It signifies a major step toward establishing space-based data centres, paving the way for computing capabilities that will support a variety of applications. 

While space-based data centres currently cost 10–15 times more than terrestrial alternatives, this initiative leverages high-intensity solar power in orbit to significantly reduce energy consumption. Training AI models in space could lower energy costs by up to 95% and cut carbon emissions by at least tenfold, even when factoring in launch emissions. It positions MOI-TD as an eco-friendly and cost-efficient solution.

Technological Innovations and Future Impact of AI in Space

This AI Laboratory, MOI-TD includes control software and hardware components, including reaction wheels, magnetometers, an advanced onboard computer, and an AI accelerator. The satellite also features flexible solar cells that could power future satellites. It will enable the processing of real-time space data, pattern recognition, and autonomous decision-making and address the latency issues, ensuring faster and more efficient data analysis, while the robust hardware designs tackle the challenges posed by radiation and extreme space environments. Advanced sensor integration will further enhance data collection, facilitating AI model training and validation.

These innovations drive key applications with transformative potential. It will allow users to access the satellite platform through OrbitLaw, a web-based console that will allow users to upload AI models to aid climate monitoring, disaster prediction, urban growth analysis and custom Earth observation use cases. TakeMe2Space has already partnered with a leading Malaysian university and an Indian school (grades 9 and 10) to showcase the satellite’s potential for democratizing space research. 

Future Prospects and India’s Global Leadership in AI and Space Research 

As per Stanford’s HAI Global AI Vibrancy rankings, India secured 4th place due to its R&D leadership, vibrant AI ecosystem, and public engagement for AI. This AI laboratory is a step further in advancing India’s role in the development of regulatory frameworks for ethical AI use, fostering robust public-private partnerships, and promoting international cooperation to establish global standards for AI applications. 

Cost-effectiveness and technological exercise are some of India’s unique strengths and could position the country as a key player in the global AI and space research arena and draw favourable comparisons with initiatives by NASA, ESA, and private entities like SpaceX. By prioritising ethical and sustainable practices and fostering collaboration, India can lead in shaping the future of AI-driven space exploration.

Conclusion

India’s first AI laboratory in space, MOI-TD, represents a transformative milestone in integrating AI with space technology. This ambitious project promises to advance autonomous decision-making, enhance satellite exploration, and democratise space research. Additionally, factors such as data security, fostering international collaboration and ensuring sustainability should be taken into account while fostering such innovations. With this, India can establish itself as a leader in space research and AI innovation, setting new global standards while inspiring a future where technology expands humanity’s frontiers and enriches life on Earth.

References

• https://www.ptinews.com/story/national/start-up-to-launch-ai-lab-in-space-in-december/2017534 
• https://economictimes.indiatimes.com/tech/startups/spacetech-startup-takeme2space-to-launch-ai-lab-in-space-in-december/articleshow/115701888.cms?from=mdr 
• https://www.ibm.com/think/news/data-centers-space ‍
• https://cio.economictimes.indiatimes.com/amp/news/next-gen-technologies/spacetech-startup-takeme2space-to-launch-ai-lab-in-space-in-december/115718230

Executive Summary

Following the flash floods that struck the Nepal-Tibet border on Wednesday morning, 289 bodies have so far been recovered, while around 1,500 people remain missing. A large number of foreign nationals, along with Nepali citizens, are also among those reported missing. Meanwhile, a video showing a massive landslide is being widely circulated on social media. The viral clip is actually a compilation of two separate videos. The first shows a landslide rapidly turning into a torrent of muddy floodwater, while the second shows a two-storey house on a riverbank being swept away by rising floodwaters. A research done by the Research Wing of the CyberPeace found that both videos are old and unrelated to Nepal. The first video is from Myanmar, while the second was recorded in the United States.

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Claim:

A user on social media platform Facebook shared the video, claiming that it shows the initial scenes of the devastating floods and landslides that struck Nepal.

https://www.facebook.com/reel/1572666177989617 

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Fact Check:

To verify the first video, we conducted a reverse image search of its keyframes. During the search, we found a longer version of the same footage, which was shared on an Instagram account on June 30. This confirmed that the viral clip is unrelated to the recent floods in Nepal.

https://www.instagram.com/reels/DaLtKtjzTtq/ 

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During the research, we also found the full version of the video on a YouTube channel, where it was uploaded on January 28, 2024. Although the video caption did not clearly specify the location of the incident, it mentioned Myanmar several times. This confirms that the viral video is old footage from Myanmar and not related to the recent disaster in Nepal.

https://www.youtube.com/watch?v=_z2_IEqOBNg&t=3s 

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We found another report, published on January 25, 2024, that carried screenshots from the viral footage. It stated that the incident took place between January 24 and 25, 2024, in Myanmar’s Hpakant mining area. Further verification led us to a report published by EOS.org, the digital science news outlet of the American Geophysical Union. The report examined the incident by comparing Planet Labs satellite imagery captured before and after the event, providing further evidence about the location of the incident.

https://www.geoengineer.org/news/mine-waste-dam-failure-in-myanmar-caught-on-video

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https://eos.org/thelandslideblog/myanmar-1 

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Second Clip

For the second clip, a reverse image search of its keyframes led us to a CBC report dated June 14, 2022, which carried a photograph of the same two-storey house seen in the viral footage. The report identified the location as Gardiner, Montana, USA, where the Yellowstone River experienced severe flooding and a rapid rise in water levels. It also stated that the house belonged to Parker Manning, who recorded the footage himself while vacationing with his family at a spot roughly half a mile upstream from the house.

https://www.cbsnews.com/news/yellowstone-flooding-video-house-collapses-river/ 

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We also found a post related to the viral video on FOX 61, where the footage was shared with a generic caption. The link to the post and a screenshot are provided below.

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Conclusion

Our research found that both videos are old and unrelated to Nepal. The first video is from Myanmar, while the second is from the United States.

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