CoWIN Data Breach

Introduction

Deepfake have become a source of worry in an age of advanced technology, particularly when they include the manipulation of public personalities for deceitful reasons. A deepfake video of cricket star Sachin Tendulkar advertising a gaming app recently went popular on social media, causing the sports figure to deliver a warning against the widespread misuse of technology.

Scenario of Deepfake

Sachin Tendulkar appeared in the deepfake video supporting a game app called Skyward Aviator Quest. The app's startling quality has caused some viewers to assume that the cricket legend is truly supporting it. Tendulkar, on the other hand, has resorted to social media to emphasise that these videos are phony, highlighting the troubling trend of technology being abused for deceitful ends.

Tendulkar's Reaction

Sachin Tendulkar expressed his worry about the exploitation of technology and advised people to report such videos, advertising, and applications that spread disinformation. This event emphasises the importance of raising knowledge and vigilance about the legitimacy of material circulated on social media platforms.

The Warning Signs

The deepfake video raises questions not just for its lifelike representation of Tendulkar, but also for the material it advocates. Endorsing gaming software that purports to help individuals make money is a significant red flag, especially when such endorsements come from well-known figures. This underscores the possibility of deepfakes being utilised for financial benefit, as well as the significance of examining information that appears to be too good to be true.

How to Protect Yourself Against Deepfakes

As deepfake technology advances, it is critical to be aware of potential signals of manipulation. Here are some pointers to help you spot deepfake videos:

• Look for artificial facial movements and expressions, as well as lip sync difficulties.
• Body motions and Posture: Take note of any uncomfortable body motions or discrepancies in the individual's posture.
• Lip Sync and Audio Quality: Look for mismatches between the audio and lip motions.
• background and Content: Consider the video's background, especially if it has a popular figure supporting something in an unexpected way.
• Verify the legitimacy of the video by verifying the official channels or accounts of the prominent person.

Conclusion 

The popularity of deepfake videos endangers the legitimacy of social media material. Sachin Tendulkar's response to the deepfake in which he appears serves as a warning to consumers to remain careful and report questionable material. As technology advances, it is critical that individuals and authorities collaborate to counteract the exploitation of AI-generated material and safeguard the integrity of online information.

Reference 

• https://www.news18.com/tech/sachin-tendulkar-disturbed-by-his-new-deepfake-video-wants-swift-action-8740846.html 
• https://www.livemint.com/news/india/sachin-tendulkar-becomes-latest-victim-of-deepfake-video-disturbing-to-see-11705308366864.html 

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Introduction

The fast-paced development of technology and the wider use of social media platforms have led to the rapid dissemination of misinformation with characteristics such as diffusion, fast propagation speed, wide influence, and deep impact through these platforms. Social Media Algorithms and their decisions are often perceived as a black box introduction that makes it impossible for users to understand and recognise how the decision-making process works. 

Social media algorithms may unintentionally promote false narratives that garner more interactions, further reinforcing the misinformation cycle and making it harder to control its spread within vast, interconnected networks. Algorithms judge the content based on the metrics, which is user engagement. It is the prerequisite for algorithms to serve you the best. Hence, algorithms or search engines enlist relevant items you are more likely to enjoy. This process, initially, was created to cut the clutter and provide you with the best information. However, sometimes it results in unknowingly widespread misinformation due to the viral nature of information and user interactions. 

Analysing the Algorithmic Architecture of Misinformation

Social media algorithms, designed to maximize user engagement, can inadvertently promote misinformation due to their tendency to trigger strong emotions, creating echo chambers and filter bubbles. These algorithms prioritize content based on user behaviour, leading to the promotion of emotionally charged misinformation. Additionally, the algorithms prioritize content that has the potential to go viral, which can lead to the spread of false or misleading content faster than corrections or factual content.

Additionally, popular content is amplified by platforms, which spreads it faster by presenting it to more users. Limited fact-checking efforts are particularly difficult since, by the time they are reported or corrected, erroneous claims may have gained widespread acceptance due to delayed responses. Social media algorithms find it difficult to distinguish between real people and organized networks of troll farms or bots that propagate false information. This creates a vicious loop where users are constantly exposed to inaccurate or misleading material, which strengthens their convictions and disseminates erroneous information through networks.

Though algorithms, primarily, aim to enhance user engagement by curating content that aligns with the user's previous behaviour and preferences. Sometimes this process leads to "echo chambers," where individuals are exposed mainly to information that reaffirms their beliefs which existed prior, effectively silencing dissenting voices and opposing viewpoints. This curated experience reduces exposure to diverse opinions and amplifies biased and polarising content, making it arduous for users to discern credible information from misinformation. Algorithms feed into a feedback loop that continuously gathers data from users' activities across digital platforms, including websites, social media, and apps. This data is analysed to optimise user experiences, making platforms more attractive. While this process drives innovation and improves user satisfaction from a business standpoint, it also poses a danger in the context of misinformation. The repetitive reinforcement of user preferences leads to the entrenchment of false beliefs, as users are less likely to encounter fact-checks or corrective information.

Moreover, social networks and their sheer size and complexity today exacerbate the issue. With billions of users participating in online spaces, misinformation spreads rapidly, and attempting to contain it—such as by inspecting messages or URLs for false information—can be computationally challenging and inefficient. The extensive amount of content that is shared daily means that misinformation can be propagated far quicker than it can get fact-checked or debunked.

Understanding how algorithms influence user behaviour is important to tackling misinformation. The personalisation of content, feedback loops, the complexity of network structures, and the role of superspreaders all work together to create a challenging environment where misinformation thrives. Hence, highlighting the importance of countering misinformation through robust measures. 

The Role of Regulations in Curbing Algorithmic Misinformation

The EU's Digital Services Act (DSA) applicable in the EU is one of the regulations that aims to increase the responsibilities of tech companies and ensure that their algorithms do not promote harmful content. These regulatory frameworks play an important role they can be used to establish mechanisms for users to appeal against the algorithmic decisions and ensure that these systems do not disproportionately suppress legitimate voices. Independent oversight and periodic audits can ensure that algorithms are not biased or used maliciously. Self-regulation and Platform regulation are the first steps that can be taken to regulate misinformation. By fostering a more transparent and accountable ecosystem, regulations help mitigate the negative effects of algorithmic misinformation, thereby protecting the integrity of information that is shared online. In the Indian context, the Intermediary Guidelines, 2023, Rule 3(1)(b)(v) explicitly prohibits the dissemination of misinformation on digital platforms. The ‘Intermediaries’ are obliged to ensure reasonable efforts to prevent users from hosting, displaying, uploading, modifying, publishing, transmitting, storing, updating, or sharing any information related to the 11 listed user harms or prohibited content. This rule aims to ensure platforms identify and swiftly remove misinformation, and false or misleading content.

Cyberpeace Outlook

Understanding how algorithms prioritise content will enable users to critically evaluate the information they encounter and recognise potential biases. Such cognitive defenses can empower individuals to question the sources of the information and report misleading content effectively. In the future of algorithms in information moderation, platforms should evolve toward more transparent, user-driven systems where algorithms are optimised not just for engagement but for accuracy and fairness. Incorporating advanced AI moderation tools, coupled with human oversight can improve the detection and reduction of harmful and misleading content. Collaboration between regulatory bodies, tech companies, and users will help shape the algorithms landscape to promote a healthier, more informed digital environment.

References:

• https://www.advancedsciencenews.com/misformation-spreads-like-a-nuclear-reaction-on-the-internet/
• https://www.niemanlab.org/2024/09/want-to-fight-misinformation-teach-people-how-algorithms-work/ 
• Press Release: Press Information Bureau (pib.gov.in) 

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Introduction

Cyberspace is the new and the fifth dimension of warfare as recognised by the UN. In recent times we have seen a significant rise in cyber attacks on nations’ strategic interests and critical infrastructure. The scope of cyberwarfare is increasing rapidly in contemporary times. Nations across the globe are struggling with this issue. The Ministry of Defence of the Government of India has been fundamental to take preventive measures towards all attacks on the Republic of India. The ministry is the junction for all three forces: Airforce, Navy and Army and creates coordination between the forces and deploys the force at strategic locations in terms of enemy threats.

The new OS

Governments across the world have developed various cyber security measures and mechanisms to keep data and information safe and secure. Similarly, the Indian Government has been very critical in deploying cybersecurity strategies, policies, measures, and bills to safeguard the Indian cyber-ecosystem.  The Ministry of Defence has recently made a transition in terms of the Operating System used in the daily functions of the ministry. Earlier, the ministry was using an OS from Microsoft, which has now been replaced with the indigenous OS named “Maya” based on open-source Ubuntu. This is the first time the ministry will be deploying indigenous operating software. This step comes at a time of global rise in cyber attacks, and the aspect of indigenous OS will prevent malware and spyware attacks.‍

What is Maya?

Users will not notice many differences while switching to Maya because it has a similar interface and functionality to Windows. The first instruction is to install Maya on all South Block PCs with Internet access before August 15.  In these systems, a Chakravyuh “endpoint detection and protection system” is also being installed. Maya isn’t yet installed on any computers connected to the networks of the three Services; instead, it is solely used in Defence Ministry systems. It had also been reviewed by the three Services and would shortly be adopted on service networks. The Army and Air Force were currently reviewing it after the Navy had already given its approval.

OS Maya was created by government development organisations in less than six months. An official from the ministry has informed that Maya would stop malware attacks and other cyberattacks, which have sharply increased. The nation has recently experienced a number of malware and extortion attacks, some of which targeted vital infrastructure. The Defence Ministry has made repeated attempts in the past to switch from Windows to an Indian operating system.

How will the new OS help?

The OS Maya is a critically developed OS and is expected to cater to the needs of all cybersecurity and safety issues of contemporary threats and vulnerabilities.

The following aspects need to be kept in mind in regard to safety and security issues:

• Better and improved security and safety
• Reduced chances of cyberattacks
• Promotion of Inidegenous talent and innovation
• Global standard OS
• Preventing and precautionary measures
• Safety by Design for overall resilience
• Improved Inter forces coordination
• Upskilling and capacity building for Serving personnel

Conclusion

Finally, the emergence of cyberspace as the fifth dimension of warfare has compelled countries all over the world to adopt a proactive stance, and India’s Ministry of Defence has made a significant move in this area. The significance of strengthened cybersecurity measures has been highlighted by the rising frequency and level of complexity of cyberattacks against key assets and vital infrastructure. The Ministry’s choice to use the local Maya operating system is a key step in protecting the country’s cyber-ecosystem. Maya’s debut represents a fundamental shift in the cybersecurity approach as well as a technology transition. This change not only improves the security and protection of confidential data but also demonstrates India’s dedication to supporting innovation and developing homegrown talent. Government development organisations have shown their commitment to solving the changing difficulties of the digital age by producing cutting-edge operating systems like Maya in a relatively short amount of time.