DPDP Bill 2023 A Comparative Analysis

Introduction 

As digital platforms rapidly become repositories of information related to health, YouTube has emerged as a trusted source people look to for answers. To counter rampant health misinformation online, the platform launched YouTube Health, a program aiming to make “high-quality health information available to all” by collaborating with health experts and content creators. While this is an effort in the right direction, the program needs to be tailored to the specificities of the Indian context if it aims to transform healthcare communication in the long run.

The Indian Digital Health Context 

India’s growing internet penetration and lack of accessible healthcare infrastructure, especially in rural areas, facilitates a reliance on digital platforms for health information. However, these, especially social media, are rife with misinformation. Supplemented by varying literacy levels, access disparities, and lack of digital awareness, health misinformation can lead to serious negative health outcomes. The report ‘Health Misinformation Vectors in India’ by DataLEADS suggests a growing reluctance surrounding conventional medicine, with people looking for affordable and accessible natural remedies instead. Social media helps facilitate this shift. However, media-sharing platforms such as WhatsApp, YouTube, and Facebook host a large chunk of health misinformation. The report identifies that cancer, reproductive health, vaccines, and lifestyle diseases are four key areas susceptible to misinformation in India.

YouTube’s Efforts in Promoting Credible Health Content 

YouTube Health aims to provide evidence-based health information with “digestible, compelling, and emotionally supportive health videos,” from leading experts to everyone irrespective of who they are or where they live. So far, it executes this vision through:

• Content Curation: The platform has health source information panels and content shelves highlighting videos regarding 140+ medical conditions from authority sources like All India Institute of Medical Sciences (AIIMS), National Institute of Mental Health and Neurosciences (NIMHANS), Max Healthcare etc., whenever users search for health-related topics.
• Localization Strategies: The platform offers multilingual health content in regional languages such as Hindi, Tamil, Telugu, Marathi, Kannada, Malayalam, Punjabi, and Bengali, apart from English. This is to help health information reach viewers across most of the country. 
• Verification of professionals: Healthcare professionals and organisations can apply to YouTube’s health feature for their videos to be authenticated as an authority health source on the platform and for their videos to show up on the ‘Health Sources’ shelf.

Challenges 

• Limited Reach: India has a diverse linguistic ecosystem. While health information is made available in over 8 languages, the number is not enough to reach everyone in the country. Efforts to reach more people in vernacular languages need to be ramped up. Further, while there were around 50 billion views of health content on YouTube in 2023, it is difficult to measure the on-ground outcomes of those views.
• Lack of Digital Literacy: Misinformation on digital platforms cannot be entirely curtailed owing to the way algorithms are designed to enhance user engagement. However, uploading authoritative health information as a solution may not be enough, if users lack awareness about misinformation and the need to critically evaluate and trust only credible sources. In India, this critical awareness remains largely underdeveloped.

Conclusion 

Considering that India has over 450 million users, by far the highest number of users in any country in the world, the platform has recognized that it can play a transformative role in the country’s digital health ecosystem. To accomplish its mission “to combat the societal threat of medical misinformation,” YouTube will have to continue to take several proactive measures. There is scope for strengthening collaborations with Indian public health agencies and trusted public figures, national and regional,  to provide credible health information to all.  The approach will have to be tailored to India’s vast linguistic diversity, by encouraging capacity-building for vernacular creators to produce credible content. Finally, multiple stakeholders will need to come together to promote digital literacy through education campaigns about identifying trustworthy sources.

Sources 

• https://indianexpress.com/article/technology/tech-news-technology/youtube-health-dr-garth-graham-interview-9746673/ 
• https://economictimes.indiatimes.com/news/india/cancer-misinformation-extremely-prevalent-in-india-trust-in-science-medicine-crucial-report/articleshow/115931783.cms?from=mdr 
• https://health.youtube/our-mission/ 
• https://health.youtube/features-application/ 
• https://backlinko.com/youtube-users 

Introduction
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The rapid rise of AI tools has reshaped how health content spreads on platforms like Instagram Reels and YouTube Shorts. These sub-minute videos promise quick fixes for weight loss, glowing skin, or reduced anxiety, often delivered through polished visuals and confident AI-generated voiceovers. The result feels highly personalised, as if the advice is tailored to each viewer, even though it is usually generic and widely recycled.

Short-form videos tend to compress complex health topics into “one tip” solutions, such as drinking a specific detox drink daily or following a single workout for rapid fat loss. While appealing, this oversimplification removes essential context, including individual health conditions, long-term risks, and scientific nuance. For example, viral diet trends or fitness hacks may work for some but can be ineffective or even harmful for others.

Algorithms play a major role in amplifying such content. Videos that promise dramatic transformations or instant results are more likely to gain engagement, which pushes them to wider audiences. Repeated exposure then builds familiarity, making the advice seem more credible over time. Audiences often trust this content due to its clean presentation, authoritative tone, and frequent repetition. However, the risks include misinformation, unrealistic expectations, and potential harm from unverified practices. To approach such content critically, viewers should cross-check claims with credible medical sources, avoid relying on single tip solutions, and remember that real health advice is rarely one size fits all.
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The Illusion of Personalisation
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AI-generated health content often mimics personalisation through:

• Synthetic voiceovers that designers created to match different age groups through their voice output, which speak specifically to people who are 20 years old and younger.
• The script development process uses data that tracks currently popular search terms.
• Viewers can interpret information through visual elements, which show changes between two different states.

The process of "personalisation" uses generalised data that does not match individual health profiles to create targeted results. The videos fail to provide a medical assessment because they do not consider:

• Existing medical conditions
• Hereditary differences
• Personal habits and the impact of surrounding conditions

The users will think that general medical advice applies to their personal health needs, which will lead them to use this advice inappropriately.

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Short-Form Content and Oversimplification
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Short-form videos have time limitations, which result in reduced complex medical information development into basic medical stories. The typical patterns of evaluation include these two patterns of evaluation include:

• “One-tip solutions” (e.g., “Drink this before bed to burn fat”)
• Binary framing (“good vs bad foods”)
• The process of eliminating all disclaimers and side effects information

For example, the three diet methods here the three diet methods here

• Viral detox drinks that make the claim to "flush toxins" from the body
• Extreme calorie-cutting diet hacks
• Fitness shortcuts that guarantee users will see results within days

The content demonstrates a pattern of disregarding essential human body operation rules that include both metabolic patterns and human body operation over extended periods of time.
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Algorithmic Amplification and Virality
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The recommendation algorithms used by Instagram and YouTube deliver their most important results through three main factors, which include:

• Engagement (likes, shares, watch time)
• Retention rates
• Emotional or aspirational triggers 

Health-related content that claims to deliver:

• Immediate body changes
• Needs minimal work from viewers
• Results in extreme physical changes

Attractive health-related content that displays extreme physical changes through quick transformations. The system produces a continuous cycle during which:

1. Misleading content gains traction
2. Algorithms amplify it further
3. More creators replicate similar formats using AI tools 

The system produces a secondary result that favours content that people share instead of content that has authentic credibility.
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Why Do Users Trust AI-Generated Health Content?
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Several psychological and technological factors contribute to trust:

1. Professional Aesthetics - AI tools generate high-quality visual content together with authentic voiceover performance and expert-level script documentation, which replicates professional communication methods.
2. Repetition and Familiarity - When people encounter identical recommendations multiple times, their belief in those recommendations increases through the illusory truth effect.
3. Authority Signals

• Medical terminology serves as a standard term
• Medical professionals appear in stock footage through lab coat visuals
• The narrator delivers information through an assertive speaking style

4. Perceived Personal Relevance - Algorithmic targeting makes users feel the content is "meant for them.

Real-World Examples of Viral Trends
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The typical types of health misinformation that artificial intelligence systems spread through their enhanced capabilities include:

• Diet Trends: Keto shortcuts, extreme intermittent fasting variants
• Fitness Hacks: Spot reduction exercises (scientifically unsupported)
• Supplement Advice: Unverified claims about vitamins or herbal products
• Mental Health Tips: Oversimplified coping strategies that lack clinical evidence

The statement that drinking warm lemon water will detox your liver continues to be popular despite the fact that the liver has natural self-detoxification abilities.

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Risks and Public Health Implications
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The widespread consumption of such content creates multiple dangers, which include:

1. Physical Health Risks

• Nutritional deficiencies from extreme diets
• Injury from improper exercise techniques
• Delayed medical consultation

2. Psychological Impact

• Unrealistic body image expectations
• Anxiety due to conflicting advice

3. Misinformation Ecosystem

• The public loses confidence in evidence-based medicine
• Unverified or pseudoscientific practices spread throughout society

Regulatory and Ethical Concerns

The increase of AI-generated health materials connects to more extensive problems, which include:

• Who is responsible for the content
• Who is responsible for the platform
• How AI systems show their inner workings to users

Most platforms today do not have strict systems that can:

• Verify medical claims
• Display which health advice comes from artificial intelligence
• Punish users who spread false information multiple times

The absence of regulations allows misleading information to spread without consequences.
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A CyberPeace Perspective: Building Digital Health Resilience
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The problem needs complete involvement from several parties to create effective solutions that protect both online security and data integrity. 
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For Users

• Users should confirm claims by using trustworthy medical resources, which include the WHO and peer-reviewed studies.
• People should avoid using "quick solutions" until they receive guidance from certified experts.
• Users should exercise caution when they encounter content that does not include necessary warning signs.

For Platforms

• Platforms should implement systems that enable users to identify AI-generated content.
• Platforms should decrease the visibility of health information that contains false statements.
• Platforms should support authentic health content producers who have been validated.

For Policymakers

• Policymakers should create standards that govern AI-produced medical content.
• Policymakers need to enhance initiatives that teach people about the health information available online.

For Content Creators

• Content creators must show how they implement AI technologies.
• They should stay away from making claims that either go beyond what is needed or state things as absolute truth.

Conclusion
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AI-generated health tips on short-form video platforms create complex research conditions that involve three scientific fields: technology, psychology and public health. The tools provide equal access to information, yet create higher risks for people to believe false information when they use the tools without responsible usage. 

The challenge requires organisations to maintain user safety through accurate information management while providing users with transparent digital health services. The growing dependence of users on algorithm-based content requires educational institutions to develop students' critical thinking abilities and digital skills to minimise negative effects from AI-driven communication methods.
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References
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• https://pmc.ncbi.nlm.nih.gov/articles/PMC12924558/
• https://academic.oup.com/heapro/article/40/2/daaf023/8100645
• https://pmc.ncbi.nlm.nih.gov/articles/PMC12673052/
• https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1713794/full
• https://www.who.int/teams/digital-health-and-innovation/digital-channels/combatting-misinformation-online
• https://link.springer.com/article/10.1186/s12982-025-00777-2
• https://www.washingtonpost.com/health/2026/04/21/chatbot-medical-advice-accurate/

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Introduction

As e-sports flourish in India, mobile gaming platforms and apps have contributed massively to this boom. The wave of online mobile gaming has led to a new recognition of esports. As we see the Sports Ministry being very proactive for e-sports and e-athletes, it is pertinent to ensure that we do not compromise our cyber security for the sake of these games. When we talk about online mobile gaming, the most common names that come to our minds are PUBG and BGMI. As news for all Indian gamers, BGMI is set to be relaunched in India after approval from the Ministry of Electronics and Information Technology.

Why was BGMI banned?

The Govt banned Battle Ground Mobile India on the pretext of being a Chinese application and the fact that all the data was hosted in China itself. This caused a cascade of compliance and user safety issues as the Data was stored outside India. Since 2020 The Indian Govt has been proactive in banning Chinese applications, which might have an adverse effect on national security and Indian citizens. Nearly 200 plus applications have been banned by the Govt, and most of them were banned due to their data hubs being in China. The issue of cross-border data flow has been a key issue in Geo-Politics, and whoever hosts the data virtually owns it as well and under the potential threat of this fact, all apps hosting their data in China were banned.

Why is BGMI coming back?

BGMI was banned for not hosting data in India, and since the ban, the Krafton Inc.-owned game has been engaging in Idnai to set up data banks and servers to have a separate gaming server for Indian players. These moves will lead to a safe gaming ecosystem and result in better adherence to the laws and policies of the land. The developers have not declared a relaunch date yet, but the game is expected to be available for download for iOS and Android users in the coming few days. The game will be back on app stores as a letter from the Ministry of Electronics and Information Technology has been issued stating that the games be allowed and made available for download on the respective app stores.

Grounds for BGMI

BGMI has to ensure that they comply with all the laws, policies and guidelines in India and have to show the same to the Ministry to get an extension on approval. The game has been permitted for only 90 days (3 Months). Hon’ble MoS Meity Rajeev Chandrashekhar stated in a tweet   “This is a 3-month trial approval of #BGMI after it has complied with issues of server locations and data security etc. We will keep a close watch on other issues of User harm, Addiction etc., in the next 3 months before a final decision is taken”. This clearly shows the magnitude of the bans on Chinese apps. The ministry and the Govt will not play the soft game now, it’s all about compliance and safeguarding the user’s data.

Way Forward

This move will play a significant role in the future, not only for gaming companies but also for other online industries, to ensure compliance. This move will act as a precedent for the issue of cross-border data flow and the advantages of data localisation. It will go a long way in advocacy for the betterment of the Indian cyber ecosystem. Meity alone cannot safeguard the space completely, it is a shared responsibility of the Govt, industry and netizens.

Conclusion

The advent of online mobile gaming has taken the nation by storm, and thus, being safe and secure in this ecosystem is paramount. The provisional permission form BGMI shows the stance of the Govt and how it is following the no-tolerance policy for noncompliance with laws. The latest policies and bills, like the Digital India Act, Digital Personal Data Protection Act, etc., will go a long way in securing the interests and rights of the Indian netizen and will create a blanket of safety and prevention of issues and threats in the future.