#FactCheck -Viral Claim That Yogi Adityanath Urged People Not to Watch Shah Rukh Khan’s Films Is Misleading

Introduction:

Cybercriminals can hack your phone using or exploiting some public charging stations such as at airports, Malls, hotel rooms, etc. When you plug in your phone or laptop devices into a power charger using USB, you may be plugging into a hacker. Juice jacking poses a security threat at public charging stations at airports, shopping malls and other public places that provide free charging stations for mobile, tablet, and laptop devices. 

Cybercriminals can either hack into the public charging spot or download malware or viruses through the USB port into your system. When you plug your phone, laptop, tablet or other such devices for charging at public charging stations, it can download malware to your phone and other such devices, and then hackers can access your personal information or passwords, It is really a problem since hackers can even get access to your bank account for unauthorised transactions by accessing your passwords and personal information. 

Hence it is important to think twice before using public charging spots, as it might lead to serious consequences such as malware, data leak and hacking. Hacking can gain unauthorised access to your personal information by installing malware in your device and they might monitor your device by installing monitor software or spyware to your device. This scam is referred to as juice jacking. 

FBI issued an advisory  warning about using public charging stations:

The Federal Bureau of Investigation (FBI), In May 2023, advised users to avoid using free charging stations in airports, hotels, or shopping centres. The warning comes as threat actors have figured out ways to inject malware into devices attached to publicly installed USB ports.

Updated Security measures:

We all must have seen public charging points such as airports, shopping malls, metro, and other public places that provide charging stations for mobile devices. But it can be a threat to your stored data on your device. During the charging process, your data can be transferred which can ultimately lead to a data breach. Hence utmost care should be taken to protect your information and data. iPhones and other devices have security measures in place, When you plug your phone into a charging power source, a pop-up appears to ask permission to allow or disallow the transfer of Data. There is also a default setting in the phones where data transfer is disabled. In the latest models, when you plug your device into a new port or a computer, a pop-up appears asking whether the device is trusted or not. 

Two major risks involved in the threat of Juice jacking: 

1. Malware installation: – Malware apps can be used by bad actors to clone your phone data to their device, Your personal data is transferred leading to a data breach. Some types of malware include Trojans, adware, spyware, crypto-miners, etc. Once this malware is injected into your device, It is easy for cybercriminals to extort a ransom to restore the information they have unauthorized access to.
2. Data Theft: It is important to give emphasis to the question of whether your data is protected at public charging stations? When we use a USB cable and connect to a public charging station port, cyber-criminals by injecting malware into the charging port system, can inject the malware into your device or your data can be transferred to the bad actors. USB cords can be exploited by cybercriminals to commit malicious activities.

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Best practices: 

• Avoid using public charging stations: Using public charging stations is not safe. It is very possible for a cybercriminal to load malware into a charging station with a USB cord. Hence It is advisable not to use public charging spots, try to make sure you charge your phone, and laptop devices in your car, at home or office so it will help you to avoid public charging stations.
• Alternative method of charging: You can carry a power bank along with you to avoid the use of public charging stations.
• Lock your phone: Lock your phone once connected to the charging port. Locking your device once connected to the charging station will prevent it from being able to sync or transfer data.
• Software update: It is important to enable and use your device’s software security measures. Mobile devices have certain technical protections against such vulnerabilities and security threats. 
• Review Settings: Disable your device’s option to automatically transfer data when a charging cable is connected. This is the default on iOS devices. Android users should disable this option in the Settings app. If your device displays a prompt asking you to “trust this computer,” it means you are connected to another device, not simply a power outlet. Deny the permission, as trusting the computer will enable data transfers to and from your device.  So when you plug your device into a USB port and a prompt appears asking permission to "share data" or “trust this computer” or “charge only,” always select “charge only.”

Conclusion:

Cybercriminals or bad actors exploit public charging stations. There have been incidents where malware was planted in the system by the use of a USB cord, During the charging process, the USB cord opens a path into your device that a cybercriminal can exploit, which means the devices can exchange data. That's called juice jacking. Hence avoid using public charging stations, our safety is in our hands and it is significantly important to give priority to best practices and stay protected in the evolving digital landscape. 

References: 

• https://www.cbsnews.com/philadelphia/news/fbi-issue-warning-about-juice-jacking-when-using-free-cell-phone-charging-kiosks/
• https://www.comparitech.com/blog/information-security/juice-jacking/#:~:text=Avoid%20public%20charging%20stations,guaranteed%20success%20with%20this%20method
• https://www.fcc.gov/juice-jacking-tips-to-avoid-it

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‍Introduction

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The misinformation crisis has evolved from being merely an abstract risk to a clear-cut and measurable danger to individuals, families, institutions and the whole information ecosystem. The recent death hoax with the famous actor Dharmendra is a perfect illustration of how the monster of falsehoods rises, conquers the world and does damage before the mechanisms of correction have a chance to operate. The first week of November 2025 saw the first wave of reports from different social media accounts and even some online news outlets that claimed Dharmendra had died at the age of 89. The news travelled like wildfire, causing confusion, grief and emotional suffering in large circles of fans, one could say the whole world. But then, the family came to the scene with the loudest, clearest, and most conclusive denial of them all. This case is not a one-time event. It is part of a cycle of misinformation that goes through the stages from one unverified claim to the next due to the emotional value, the virality of platforms, and the accelerating online engagement.

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How One Wrong Post Can Create Worry and Fear

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This kind of false news spreads fast on social media because people share emotional posts without checking the source, and automated accounts often repeat the same claim which makes it look true. Such hoaxes create fear, sadness and stress for fans, and they place sudden pressure on the family who must deal with public worry at a time when they need calm and privacy. The message shared by Hema Malini who is the wife of the actor shows how hurtful and careless misinformation can be, and it reminds everyone that even one false post can create real emotional damage for many people.

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Why This Hoax Spread So Quickly

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1. Sensationalism Drives Engagement: Rumours regarding the passing of a public figure, particularly someone who is universally loved, cause an immediate outburst of feelings. Such news is practically taken for granted by the online public, who are very likely to share it, most of the time without checking its authenticity, which, in turn, leads to viral spread. 
2. Very Fast Weaving-in on social media: Social media networks are very much made for swift sharing. Long before the official sources were able to either confirm or dismiss the matter, posts, reels, and messages ripped through the networks.
3. Digital Users Not Verifying Source: A large part of the audience depends on screenshots, forwards, and unverified posts for keeping up with the news. This opens a very nice environment for the spreading of hoaxes. 
4. Weak Verification Protocols: Although there have been measures to inform the public about misinformation, most news companies still give priority to the speed of reporting rather than its correctness, though not all the time, especially for the more entertaining and attractive topics like the health or death of famous people. 
5. Algorithmic Amplification Risks: The engagement is mainly driven by algorithms that bring to the surface the posts that evoke strong emotions. In a way, it is very unfair because the false or sensational claims are getting in front at the same time as the corrective updates, hence, the public is getting misled. In the absence of algorithmic safeguards, misinformation is on the rise and becoming stronger.

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Best Practices For Users: 

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• Make sure to verify before sharing, especially if the topic is about health or death. 
• Get updates by following official accounts rather than through sharing of viral forwards. 
• Be aware of the emotional manipulation tactics used in misleading information. 

Conclusion

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The rumour surrounding Dharmendra's death is yet another example that misinformation, whether promptly corrected or not, can still inflict distress, cause loss of trust and damage to reputation. It also emphasises the need for stronger information governance, responsible digital journalism, and platform intervention mechanisms as a matter of urgency. This incident, from clicks to consequences, points to a basic truth: misinformation in the digital age is quicker to spread than facts, and the responsibility of putting a stop to it falls on all the stakeholders’ platforms, media, and users.

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References

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• https://timesofindia.indiatimes.com/entertainment/hindi/bollywood/news/esha-deol-and-hema-malini-dismiss-dharmendras-fake-death-news-relieved-fans-pray-for-actors-speedy-recovery-aap-jld-se-jld-apne-ghar-aye/articleshow/125242843.cms
• https://www.altnews.in/media-misreport-bollywood-actor-dharmendra-hasnt-passed-away-yet/
• https://economictimes.indiatimes.com/news/india/dharmendra-death-news-bollywoods-veeru-and-he-man-passes-away-at-89/articleshow/125238900.cms

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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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