#FactCheck - Viral image circulating on social media depicts a natural optical illusion from Epirus, Greece.
Executive Summary:
A viral image circulating on social media claims it to be a natural optical illusion from Epirus, Greece. However, upon fact-checking, it was found that the image is an AI-generated artwork created by Iranian artist Hamidreza Edalatnia using the Stable Diffusion AI tool. CyberPeace Research Team found it through reverse image search and analysis with an AI content detection tool named HIVE Detection, which indicated a 100% likelihood of AI generation. The claim of the image being a natural phenomenon from Epirus, Greece, is false, as no evidence of such optical illusions in the region was found.

Claims:
The viral image circulating on social media depicts a natural optical illusion from Epirus, Greece. Users share on X (formerly known as Twitter), YouTube Video, and Facebook. It’s spreading very fast across Social Media.

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Fact Check:
Upon receiving the Posts, the CyberPeace Research Team first checked for any Synthetic Media detection, and the Hive AI Detection tool found it to be 100% AI generated, which is proof that the Image is AI Generated. Then, we checked for the source of the image and did a reverse image search for it. We landed on similar Posts from where an Instagram account is linked, and the account of similar visuals was made by the creator named hamidreza.edalatnia. The account we landed posted a photo of similar types of visuals.

We searched for the viral image in his account, and it was confirmed that the viral image was created by this person.

The Photo was posted on 10th December, 2023 and he mentioned using AI Stable Diffusion the image was generated . Hence, the Claim made in the Viral image of the optical illusion from Epirus, Greece is Misleading.
Conclusion:
The image claiming to show a natural optical illusion in Epirus, Greece, is not genuine, and it's False. It is an artificial artwork created by Hamidreza Edalatnia, an artist from Iran, using the artificial intelligence tool Stable Diffusion. Hence the claim is false.
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Executive Summary:
A photo that has gone viral on social media alleges that the Indian company Patanjali founded by Yoga Guru Baba Ramdev is selling a product called “Recipe Mix for Beef Biryani”. The image incorporates Ramdev’s name in its promotional package. However, upon looking into the matter, CyberPeace Research Team revealed that the viral image is not genuine. The original image was altered and it has been wrongly claimed which does not even exist. Patanjali is an Indian brand designed for vegetarians and an intervention of Ayurveda. For that reason, the image in context is fake and misleading.

Claims:
An image circulating on social media shows Patanjali selling "Recipe Mix for Beef Biryani”.

Fact Check:
Upon receiving the viral image, the CyberPeace Research Team immediately conducted an in-depth investigation. A reverse image search revealed that the viral image was taken from an unrelated context and digitally altered to be associated with the fabricated packaging of "National Recipe Mix for Biryani".

The analysis of the image confirmed signs of manipulation. Patanjali, a well-established Indian brand known for its vegetarian products, has no record of producing or promoting a product called “Recipe mix for Beef Biryani”. We also found a similar image with the product specified as “National Biryani” in another online store.

Comparing both photos, we found that there are several differences.
Further examination of Patanjali's product catalog and public information verified that this viral image is part of a deliberate attempt to spread misinformation, likely to damage the reputation of the brand and its founder. The entire claim is based on a falsified image aimed at provoking controversy, and therefore, is categorically false.
Conclusions:
The viral image associating Patanjali and Baba Ramdev with "Recipe mix for Beef Biryani" is entirely fake. This image was deliberately manipulated to spread false information and damage the brand’s reputation. Social media users are encouraged to fact-check before sharing any such claims, as the spread of misinformation can have significant consequences. The CyberPeace Research Team emphasizes the importance of verifying information before circulating it to avoid spreading false narratives.
- Claim: Patanjali and Baba Ramdev endorse "Recipe mix for Beef Biryani"
- Claimed on: X
- Fact Check: Fake & Misleading

INTRODUCTION:
The Ministry of Defence has recently designated the Additional Directorate General of Strategic Communication in the Indian Army as the nodal officer now authorised to send removal requests and notices to social media intermediaries regarding posts consisting of illegal content with respect to the Army. Earlier, this process was followed through the Ministry of Electronics and Information Technology (MeitY). The recent designation gives the Army the autonomy of circumnavigating the old process and enables them to send direct notices (as deemed appropriate by the government and its agency). Let us look at the legal framework that allows them to do so and its policy implications.
BACKGROUND AND LEGAL FRAMEWORK:
Section 69 of the IT Act 2000 gives the government the power to issue directions for interception, monitoring or decryption of any data/information through any computer resource. This is done so under six reasons related to:
- Upholding the sovereignty or integrity of India
- Security of the state
- Defence of India
- Friendly relations with foreign states
- Public order or for preventing incitement of any cognisable offence
- Investigations of offences related to the aforementioned reasons
Section 79(3)(b) of the Information Technology Act 2000 is another aspect of the law related to the removal of data on notification. It allows for all intermediaries (including internet service providers and social media platforms) to have safety harbours from the liability of the content put out by third parties/users on their platforms. This, however, is only applicable when the intermediary has either received a notification or actual knowledge by the appropriate government or its agency of the data on their platform being used for unlawful acts and complies promptly by removing the data from their platform without tampering with evidence.
PLAUSIBLE REASONS FOR POLICY DECISION:
Cases related to the Indian Army are sensitive for a number of reasons, rooted in the fact that they directly pertain to the nation's security, integrity and sovereignty. The impact of the spread of misinformation and disinformation is almost instantaneous and the stakes are high in any circumstance, but exceptionally so when it comes to the Armed Forces and the nation’s security status. A mechanism to tackle cases of such a security level should allow for quick action from the authorities. Owing to the change in the ability to notify directly rather than through another ministry, the army can now promptly deal with these concerns as and when they arise. One immediate benefit of this change is that the forces can now quickly respond to instances where foreign states and actors with malicious intent put out information that can cause harm to the nation’s interests, image and integrity.
This step helps the forces deal with countering misinformation, ensuring national security and even addressing issues of online propaganda. An example of sensitive content about the army leading to legal intervention is the case of Delhi-based magazine The Caravan. The Defence Ministry, along with the Intelligence Bureau and the Jammu and Kashmir police ordered the Delhi-based publication to remove an article claiming the murder and torture of civilians by the Indian army in Jammu and Kashmir citing the IT (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021. The instruction was challenged by the magazine in the courts.
CONCLUSION:
This move brings with it potential benefits along with risks and the focus should always be on maintaining a balanced approach. Transparency and accountability are imperative and checks on related guidelines so as to prevent misuse while simultaneously protecting national security should be at the centre of the objective of the policy approach. Misinformation in and about the armed forces must be dealt with immediately.
REFERENCES:
- https://www.hindustantimes.com/india-news/army-can-now-directly-issue-notices-to-remove-online-posts-101730313177838.html
- https://www.hindustantimes.com/india-news/inside-79-3-b-the-content-blocking-provision-with-many-legal-grey-areas-101706987924882.html
- https://www.thehindu.com/news/national/govt-orders-magazine-to-take-down-article-on-army-torture-and-murder-in-jammu/article67840790.ece
- https://myind.net/Home/viewArticle/army-gains-authority-to-directly-issue-notice-to-take-down-online-posts

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