#FactCheck - "Deepfake Video Falsely Claims of Elon Musk conducting give away for Cryptocurrency”

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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Executive Summary
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A video is being widely shared on social media with the claim that it shows the recent Assam floods, where nurses are rescuing newborn babies after water entered a hospital. The caption accompanying the viral video claims that the babies are not drowning; instead, healthcare workers and rescue teams are carrying them to safety amid floodwaters inside a hospital. It further states that the video shows humanity and courage during a time of crisis. CyberPeace Research Wing’s research found the claim to be false. The research revealed that the viral video showing healthcare workers rescuing newborn babies is not real but was created using Artificial Intelligence (AI).

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Claim:

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An Instagram user named kamlakritika shared the video and claimed that it showed the Assam floods. The post stated that the babies were not drowning but were being rescued by healthcare workers and rescue teams from a flooded hospital. In the viral video, several nurses can be seen running through waterlogged areas while trying to protect incubators — containers used to keep newborn babies — from being submerged or swept away. According to the caption, a devastating flood had turned the entire area into a disaster zone. It claimed that incubators containing premature newborn babies were floating in floodwaters, while nurses were running behind them amid strong water currents to save the infants. The caption further claimed that several incubators were overturning and sinking with babies inside, putting hundreds of fragile lives at risk.

https://www.instagram.com/reel/DbXvJwgz72X/?utm_source=ig_web_copy_link&igsh=NTc4MTIwNjQ2YQ==

https://archive.ph/wip/niuGj

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Factcheck

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To verify the claim, CyberPeace Research Wing conducted a Google search using relevant keywords. During the search, the video was found shared by several other Instagram accounts. During the research, we found a report published by News18 on August 1, 2026. Although the report was related to the Assam floods, it mentioned a different incident. According to the report, a viral video showed floodwaters surrounding houses, with water spread across the area. In the video, a rescue team member can be seen carefully carrying a newborn baby in his arms through the flooded area and handing the child over to another rescue worker near a boat so that the baby could be taken to safety.

https://hindi.news18.com/news/ajab-gajab/viral-crowd-200-people-gather-buy-scrap-bike-sold-5200-police-station-madhya-pradesh-local18-10707653.html

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However, during our research, we could not find any information from credible news organisations or official sources confirming the viral video showing newborn babies being rescued in incubators. As part of further research, we closely examined the viral video and noticed several indications suggesting that it could be AI-generated. The video was then analysed using the AI detection tool FauxLens, which indicated that the video was approximately 75% AI-generated.

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To further verify the authenticity of the video, we also analysed it using another AI detection tool, Human Meter. The tool showed an 85% probability of the video being generated with the help of AI.

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Conclusion:

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CyberPeace Research Wing’s research found that the viral video claiming to show nurses rescuing newborn babies during Assam floods is false. The video is not an actual incident but an AI-generated creation.

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Introduction

Digitalisation presents both opportunities and challenges for micro, small, and medium enterprises (MSMEs) in emerging markets. Digital tools can increase business efficiency and reach but also increase exposure to misinformation, fraud, and cyber attacks. Such cyber threats can lead to financial losses, reputational damage, loss of customer trust, and other challenges hindering MSMEs' ability and desire to participate in the digital economy.

The current information dump is a major component of misinformation. Misinformation spreads or emerges from online sources, causing controversy and confusion in various fields including politics, science, medicine, and business. One obvious adverse effect of misinformation is that MSMEs might lose trust in the digital market. Misinformation can even result in the devaluation of a product, sow mistrust among customers, and negatively impact the companies’ revenue. The reach of and speed with which misinformation can spread and ruin companies’ brands, as well as the overall difficulty businesses face in seeking recourse, may discourage MSMEs from fully embracing the digital ecosystem. 

MSMEs are essential for innovation, job development, and economic growth. They contribute considerably to the GDP and account for a sizable share of enterprises. They serve as engines of economic resilience in many nations, including India. Hence, a developing economy’s prosperity and sustainability depend on the MSMEs' growth and such digital threats might hinder this process of growth. 

There are widespread incidents of misinformation on social media, and these affect brand and product promotion. MSMEs also rely on online platforms for business activities, and threats such as misinformation and other digital risks can result in reputational damage and financial losses. A company's reputation being tarnished due to inaccurate information or a product or service being incorrectly represented are just some examples and these incidents can cause MSMSs to lose clients and revenue.

In the digital era, MSMEs need to be vigilant against false information in order to preserve their brand name, clientele, and financial standing. In the interconnected world of today, these organisations must develop digital literacy and resistance against misinformation in order to succeed in the long run. Information resilience is crucial for protecting and preserving their reputation in the online market.

The Impact of Misinformation on MSMEs

Misinformation can have serious financial repercussions, such as lost sales, higher expenses, legal fees, harm to the company's reputation, diminished consumer trust, bad press, and a long-lasting unfavourable impact on image. A company's products may lose value as a result of rumours, which might affect both sales and client loyalty. 

Inaccurate information can also result in operational mistakes, which can interrupt regular corporate operations and cost the enterprise a lot of money. When inaccurate information on a product's safety causes demand to decline and stockpiling problems to rise, supply chain disruptions may occur. Misinformation can also lead to operational and reputational issues, which can cause psychological stress and anxiety at work. The peace of the workplace and general productivity may suffer as a result. For MSMEs, false information has serious repercussions that impact their capacity to operate profitably, retain employees, and maintain a sustainable business. Companies need to make investments in cybersecurity defence, legal costs, and restoring consumer confidence and brand image in order to lessen the effects of false information and ensure smooth operations.

When we refer to the financial implications caused by misinformation spread in the market, be it about the product or the enterprise, the cost is two-fold in all scenarios: there is loss of revenue and then the organisation has to contend with the costs of countering the impact of the misinformation. Stock Price Volatility is one financial consequence for publicly-traded MSMEs, as misinformation can cause stock price fluctuations. Potential investors might be discouraged due to false negative information.

Further, the reputational damage consequences of misinformation on MSMEs is also a serious concern as a loss of their reputation can have long-term damages for a carefully-cultivated brand image. 

There are also operational disruptions caused by misinformation: for instance, false product recalls can take place and supplier mistrust or false claims about supplier reliability can disrupt procurement leading to disruptions in the operations of MSMEs. 

Misinformation can negatively impact employee morale and productivity due to its physiological effects. This leads to psychological stress and workplace tensions. Staff confidence is also affected due to the misinformation about the brand. Internal operational stability is a core component of any organisation’s success. 

Misinformation: Key Risk Areas for MSMEs

1. Product and Service Misinformation

For MSMEs, misinformation about products and services poses a serious danger since it undermines their credibility and the confidence clients place in the enterprise and its products or services. Because this misleading material might mix in with everyday activities and newsfeeds, viewers may find it challenging to identify fraudulent content. For example, falsehoods and rumours about a company or its goods may travel quickly through social media, impacting the confidence and attitude of customers. Algorithms that favour sensational material have the potential to magnify disinformation, resulting in the broad distribution of erroneous information that can harm a company's brand.

2. False Customer Reviews and Testimonials

False testimonies and evaluations pose a serious risk to MSMEs. These might be abused to damage a company's brand or lead to unfair competition. False testimonials, for instance, might mislead prospective customers about the calibre or quality of a company’s offerings, while phony reviews can cause consumers to mistrust a company's goods or services. These actions frequently form a part of larger plans by rival companies or bad individuals to weaken a company's position in the market.

3. Misleading Information about Business Practices

False statements or distortions regarding a company's operations constitute misleading information about business practices. This might involve dishonest marketing, fabrications regarding the efficacy or legitimacy of goods, and inaccurate claims on a company's compliance with laws or moral principles. Such incorrect information can result in a decline in consumer confidence, harm to one's reputation, and even legal issues if consumers or rival businesses act upon it. Even before the truth is confirmed, for example, allegations of wrongdoing or criminal activity pertaining can inflict a great deal of harm, even if they are disproven later.

4. Fake News Related to Industry and Market Conditions

By skewing consumer views and company actions, fake news about market and industry circumstances can have a significant effect on MSMEs. For instance, false information about market trends, regulations, or economic situations might make consumers lose faith in particular industries or force corporations to make poor strategic decisions. The rapid dissemination of misinformation on online platforms intensifies its effects on enterprises that significantly depend on digital engagement for their operations.

Factors Contributing to the Vulnerability of MSMEs

1. Limited Resources for Verification

MSMEs have a small resource pool. Information verification is typically not a top priority for most. MSMEs usually lack the resources needed to verify the information and given their limited resources, they usually tend to deploy the same towards other, more seemingly-critical functions. They are more susceptible to misleading information because they lack the capacity to do thorough fact-checking or validate the authenticity of digital content. Technology tools, human capital, and financial resources are all in low supply but they are essential requirements for effective verification processes.

2. Inadequate Digital Literacy

Digital literacy is required for effective day-to-day operations. Fake reviews, rumours, or fake images commonly used by malicious actors can result in increased scrutiny or backlash against the targeted business. The lack of awareness combined with limited resources usually spells out a pale redressal plan on part of the affected MSME. Due to their low digital literacy in this domain, a large number of MSMEs are more susceptible to false information and other online threats. Inadequate knowledge and abilities to use digital platforms securely and effectively can result in making bad decisions and raising one's vulnerability to fraud, deception, and online scams.

3. Lack of Crisis Management Plans

MSMEs frequently function without clear-cut procedures for handling crises. They lack the strategic preparation necessary to deal with the fallout from disinformation and cyberattacks. Proactive crisis management plans usually incorporate procedures for detecting, addressing, and lessening the impact of digital harms, which are frequently absent from MSMEs.

4. High Dependence on Social Media and Online Platforms

The marketing strategy for most MSMEs is heavily reliant on social media and online platforms. While the digital-first nature of operations reduces the need for a large capital to set up in the form of stores or outlets, it also gives them a higher need to stay relevant to the trends of the online community and make their products attractive to the customer base. However, MSMEs are depending more and more on social media and other online channels for marketing, customer interaction, and company operations. These platforms are really beneficial, but they also put organisations at a higher risk of false information and online fraud. Heavy reliance on these platforms coupled with the absence of proper security measures and awareness can result in serious interruptions to operations and monetary losses.

CyberPeace Policy Recommendations to Enhance Information Resilience for MSMEs

CyberPeace advocates for establishing stronger legal frameworks to protect MSMEs from misinformation. Governments should establish regulations to build trust in online business activities and mitigate fraud and misinformation risks. Mandatory training programs should be implemented to cover online safety and misinformation awareness for MSME businesses. Enhanced reporting mechanisms should be developed to address digital harm incidents promptly. Governments should establish strict penalties for deliberate inaccurate misinformation spreaders, similar to those for copyright or intellectual property violations. Community-based approaches should be encouraged to help MSMEs navigate digital challenges effectively. Donor communities and development agencies should invest in digital literacy and cybersecurity training for MSMEs, focusing on misinformation mitigation and safe online practices. Platform accountability should be increased, with social media and online platforms playing a more active role in removing content from known scam networks and responding to fraudulent activity reports. There should be investment in comprehensive digital literacy solutions for MSMEs that incorporate cyber hygiene and discernment skills to combat misinformation.

‍Conclusion

Misinformation poses a serious risk to MSME’s digital resilience, operational effectiveness, and financial stability. MSMEs are susceptible to false information because of limited technical resources, lack of crisis management strategies, and insufficient digital literacy. They are also more vulnerable to false information and online fraud because of their heavy reliance on social media and other online platforms. To address these challenges it is significant to strengthen their cyber hygiene and information resilience. Robust policy and regulatory frameworks are encouraged, promoting and mandating online safety training programmes, and improved reporting procedures, are required to overall enhance the information landscape. 

References:

1. https://www.dai.com/uploads/digital-downsides.pdf
2. https://www.indiacode.nic.in/bitstream/123456789/2013/3/A2006-27.pdf
3. https://pib.gov.in/PressReleaseIframePage.aspx?PRID=1946375
4. https://dai-global-digital.com/digital-downsides-the-economic-impact-of-misinformation-and-other-digital-harms-on-msmes-in-kenya-india-and-cambodia.html
5. https://www.dai.com/uploads/digital-downsides.pdf

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