AI in Elections: Opportunities, Challenges, and the Road Ahead

‍Introduction 

The enactment of the Online Gaming (Promotion and Regulation) Act, 2025 has a significant impact, resulting in considerable changes to the structure of the Indian gaming industry. The ban on Real-Money Games (RMG), including fantasy sports, rummy, and poker, aims to curb addiction, illegal betting and most importantly, financial exploitation.

However, this decision sent ripples throughout the industry, resulting in players, companies and their investors re-strategising their plans to move forward. This approach, however, is a sharp contrast to how other nations, including the UK, Singapore and others, regulate online gaming. This, as a result, has also raised doubts about the ban and calls into question whether this is the right move.

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Industry in Flux - The resultant Fallout

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• MPL’s Layoffs: The Mobile Premiere League has so far laid off nearly 60 per cent of its workforce, with the CEO of the company openly admitting that the company is no longer able to make money in India.
• Dream11’s Lost Revenue: Having seen a position of being a market leader, the company has now witnessed its 95 per cent revenue wiped out, resulting in raised alarms among investors.
• A23’s Legal Move: The company chose to move the Karnataka High Court under the argument that the ban also ends up unfairly criminalising skill-based games that were earlier classified differently from gambling by the courts.

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The new face of eSports: With RMGs outlawed, the focus is now on esports, including casual mobile gaming, console/PC gaming, and creating new opportunities and also leaving a void for RMG revenue companies.

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Regulations Around the World - & India

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India has adopted a prohibition model, whereas many other countries have developed regulatory frameworks that allow sectoral expansion under monitoring.

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United Kingdom:

• Online gaming is regulated by the UK Gambling Commission.
• RMGs are legal but subject to strict licensing, age verification and advertising rules.
• Self-exclusion schemes are a must, offered by operators along with tools to prevent gambling addictions.

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United States

• State-driven regulations that vary from state to state.
• States including Nevada and New Jersey allow casinos both online and offline, while other states prohibit them completely.
• Regulation for skill-based fantasy games is fragmented but generally legal.

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China

• Great focus on controlling and restricting gaming addictions among minors.
• Time limits are enforced for players under 18 (usually as little as 3 hours per week).
• Gambling has been deemed illegal; however, esports and casual gaming operate within China’s regulated gaming ecosystem, subject to certain compliance.

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Singapore

• The Remote Gambling Act regulates chance-based games, while other eSports and skill-based games operate out of its jurisdiction and are regulated separately.
• Online gambling isn't completely banned, but is operated under restrictions.
• Only Licensed operators under strict controls are allowed by the government to operate to avoid and prevent black-market alternatives.

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Australia

• Regulates under the Interactive Gambling Act.
• Sports betting and certain licensed operators are allowed, while most of the other online gambling services are prohibited.
• Restrictions on advertising and real-time interventions allow emphasis on harm minimisation.

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India’s Approach  - Comparison

The Online Gaming (Promotion and Regulation) Act, 2025 introduces a prohibition model for real money games. This differs from jurisdictions such as the UK and US, which have implemented regulatory frameworks to oversee the sector. In India, earlier legal interpretations distinguished between games of skill and games of chance. The new legislation provides a single treatment for both categories, which marks a departure from previous judicial pronouncements. 

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Conclusion

At present, India’s gaming sector is navigating layoffs, court cases, and a pivot towards esports post the RMG ban. Keeping in mind that the intent of said ban is the protection of citizens, the industry also argues that regulation, instead of prohibition, offers a sustainable approach to the issues. On the other hand, on the global scale, most nations prefer controlled and licensed models that ensure consumer safety and work on preserving both jobs and revenues. However, India’s step is diverging from such a model. The lack of safeguards and engagement in the real money gaming industry led to a prohibition model, underscoring that in sensitive digital sectors, early regulatory alignment is essential.

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References

• India online gaming ban: Global rules & regulation bill 2025
• Level up or game over? Decoding India’s gaming industry post RMG ban
• MPL lays off 350 employees after GST rules, RMG crackdown
• India’s Dream11 hit by online gaming ban, revenue slumps
• Online gaming ban: A23 moves Karnataka HC against government decision
• UK Gambling Commission – Licensing and Regulations
• Fantasy Sports & Gambling Law – State by State
• China’s gaming restrictions for minors
• Singapore Remote Gambling Act – Ministry of Home Affairs
• Australian Communications and Media Authority – Interactive Gambling Act
  
  

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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

Misinformation spreads faster than a pimple before your best friend's wedding, and these viral skincare hacks on social media can do more harm than good if smeared on without a second thought. The unverified skin care tips, exaggerated results, and product endorsements lacking proper dermatological backing can often lead to breakouts and serious damage. 

The Allure and Risks of Online Skincare Trends

In the age of social media, beauty advice is easily accessible, but not all trending skincare hacks are beneficial. Influencers lacking professional dermatological knowledge often endorse "medical grade" skincare products, which may not be suitable for all skin types. The viral DIY skincare hacks, such as natural remedies like multani mitti (Fuller's earth), have found a new audience online. However, suppose such skincare tips are approached without due care and caution regarding their suitability for different skin types, or without the proper formulation of ingredients. In that case, they can result in skin problems. It is crucial to approach online skincare advice with a critical eye, as not all trends are backed by scientific research. 

CyberPeace Recommendations 

1. Influencer Responsibility and Ethical Endorsements in Skincare

Influencers play a crucial role in shaping public perception in the skincare and lifestyle industries. However, they must exercise due diligence before endorsing skincare products or practices, as misinformation can lead to financial loss and health consequences. Influencers should only promote products they have personally tested or vetted by dermatologists or skincare professionals. They should also research the brand's credibility, check ingredients for safety, and understand the product's target audience.

2. Strengthening Digital Literacy in Skincare Spaces

CyberPeace highlights that improving digital literacy is one of the best strategies to stop the spread of false information about skincare. Users nowadays, particularly young people, are continuously exposed to a deluge of wellness and beauty-related content. Many people are duped by overstated claims, pseudoscientific cures, and influencer-driven marketing masquerading as sound advice if they lack the necessary digital literacy. We recommend supporting digital literacy initiatives that teach users how to evaluate sources, think critically, and comprehend how algorithms promote content. Long-term impact is thought to be achieved through influencer partnerships, gamified learning modules, and community workshops that promote media literacy.

3. Recommendation for Users to Prioritise Research and Critical Thinking

Users should prioritise research and critical thinking when engaging with skincare content online. It's crucial to distinguish between valid advice and misinformation. Thorough research, including expert reviews, ingredient checks, and scientific sources, is essential. Questioning endorsements and relying on trusted platforms and dermatologists can help ensure a skincare routine based on sound practices.

4. Mandating Transparency from Influencers and Brands

Enforcing stronger transparency laws for influencers and skincare companies is a key suggestion. Social media influencers frequently neglect to reveal sponsored collaborations or paid advertisements, giving followers the impression that the skincare advice is based on the creators' own experience and objective judgment. This dishonest practice frequently promotes goods with little to no scientific support and feeds false information. The social media companies need to be proactive in identifying and removing content that violates disclosure and advertising guidelines.

5. Creating a Verified Registry for Skincare Professionals

Increasing the voices of real experts is one of the most important strategies to build credibility and trust online. The establishment of a publicly available, validated registry of certified dermatologists, cosmetologists, and skincare scientists is suggested by cybersecurity experts and medical professionals. These experts could then receive a "verified expert" badge from social media companies, making it easier for users to discern between content created by unqualified people and genuine, evidence-based advice. Algorithms that promote such verified content would inevitably limit the dissemination of false information.

6. Enforcing Platform Accountability and Reporting System

There needs to be platform-level accountability and safeguard mechanisms in case of any false information about skincare. Platforms should monitor repeat offenders and implement a tiered penalty system that includes content removal and temporary or permanent bans on such malicious user profiles.

References

• https://brandequity.economictimes.indiatimes.com/amp/news/advertising/clinikally-takes-on-digital-misinformation-of-skincare-trends-in-new-ad/120485282

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