#FactCheck -AI-Generated Video Falsely Shows Cristiano Ronaldo Chanting “Free Palestine

Introduction

When a tragedy strikes, moments are fragile, people are vulnerable, emotions run high, and every second is important. In such critical situations, information becomes as crucial as food, water, shelter, and medication. As soon as any information is received, it often leads to stampedes and chaos. Alongside the tragedy, whether natural or man-made, emerges another threat: misinformation. People, desperate for answers, cling to whatever they can find.

Tragedies can take many forms. These may include natural disasters, mass accidents, terrorist activities, or other emergencies. During the 2023 earthquakes in Turkey, misinformation spread on social media claiming that the Yarseli Dam had cracked and was about to burst. People believed it and began migrating from the area. Panic followed, and search and rescue teams stopped operations in that zone. Precious hours were lost. Later, it was confirmed to be a rumour. By then, the damage was already done.

Similarly, after the recent plane crash in Ahmedabad, India, numerous rumours and WhatsApp messages spread rapidly. One message claimed to contain the investigation report on the crash of Air India flight AI-171. It was later called out by PIB and declared fake.

These examples show how misinformation can take control of already painful moments. During emergencies, when emotions are intense and fear is widespread, false information spreads faster and hits harder. Some people share it unknowingly, while others do so to gain attention or push a certain agenda. But for those already in distress, the effect is often the same. It brings ore confusion, heightens anxiety, and adds to their suffering.

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Understanding Disasters and the Role of Media in Crisis

Disaster can be defined as a natural or human-caused situation that causes a transformation from a usual life of society into a crisis that is far beyond its existing response capacity. It can have minimal or maximum effects, from mere disruption in daily life practices to as adverse as inability to meet basic requirements of life like food, water and shelter. Hence, the disaster is not just a sudden event. It becomes a disaster when it overwhelms a community’s ability to cope with it. 

To cope with such situations, there is an organised approach called Disaster Management.  It includes preventive measures, minimising damages and helping communities recover. Earlier, public institutions like governments used to be the main actors in disaster management, but today, with every small entity having a role, academic institutions, media outlets and even ordinary people are involved. 

Communication is an important element in disaster management. It saves lives when done correctly. People who are vulnerable need to know what’s happening, what they should do and where to seek help.  It involves risk in today’s instantaneous communication. 

Research shows that the media often fails to focus on disaster preparedness. For example, studies found that during the 2019 Istanbul earthquake, the media focused more on dramatic scenes than on educating people. Similar trends were seen during the 2023 Turkey earthquakes. Rather than helping people prepare or stay calm, much of the media coverage amplified fear and sensationalised suffering. This shows a shift from preventive, helpful reporting to reactive, emotional storytelling. In doing so, the media sometimes fails in its duty to support resilience and worse, can become a channel for spreading misinformation during already traumatic events. However, fighting misinformation is not just someone’s liability. It is penalised in the official disaster management strategy. Section 54 of the Disaster Management Act, 2005 mentions that "Whoever makes or circulates a false alarm or warning as to disaster or its severity or magnitude, leading to panic, shall, on conviction, be punishable with imprisonment which may extend to one year or with a fine."

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AI as a Tool in Countering Misinformation 

AI has emerged as a powerful mechanism to fight against misinformation. AI technologies like Natural Language Processing (NLP) and Machine Learning (ML) are effective in spotting and classifying misinformation with up to 97% accuracy. AI flags unverified content, leading to a 24% decrease in shares and 7% drop in likes on platforms like TikTok.  Up to 95% fewer people view content on Facebook when fact-checking labels are used. Facebook AI also eliminates 86% of graphic violence, 96% of adult nudity, 98.5% of fake accounts and 99.5% of content related to terrorism. These tools help rebuild public trust in addition to limiting the dissemination of harmful content. In 2023, support for tech companies acting to combat misinformation rose to 65%, indicating a positive change in public expectations and awareness.

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How to Counter Misinformation

Experts should step up in such situations. Social media has allowed many so-called experts to spread fake information without any real knowledge, research, or qualification. In such conditions, real experts such as authorities, doctors, scientists, public health officials, researchers, etc., need to take charge. They can directly address the myths and false claims and stop misinformation before it spreads further and reduce confusion. 

Responsible journalism is crucial during crises. In times of panic, people look at the media for guidance. Hence, it is important to fact-check every detail before publishing. Reporting that is based on unclear tips, social media posts, or rumours can cause major harm by inciting mistrust, fear, or even dangerous behaviour. Cross-checking information, depending on reliable sources and promptly fixing errors are all components of responsible journalism. Protecting the public is more important than merely disseminating the news.

Focus on accuracy rather than speed. News spreads in a blink in today's world. Media outlets and influencers often come under pressure to publish it first.  But in tragic situations like natural disasters and disease outbreaks, rushing to come first is not as important as accuracy is, as a single piece of misinformation can spark mass-scale panic and can slow down emergency efforts and lead people to make rash decisions. Taking a little more time to check the facts ensures that the information being shared is helpful, not harmful. Accuracy may save numerous lives during tragedies. 

Misinformation spreads quickly it can only be prevented if people learn to critically evaluate what they hear and see. This entails being able to spot biased or deceptive headlines, cross-check claims and identify reliable sources.  Digital literacy is of utmost importance; it makes people less susceptible to fear-based rumours, conspiracy theories and hoaxes. 

Disaster preparedness programs should include awareness about the risks of spreading unverified information. Communities, schools and media platforms must educate people on how to respond responsibly during emergencies by staying calm, checking facts and sharing only credible updates. Spreading fake alerts or panic-inducing messages during a crisis is not only dangerous, but it can also have legal consequences. Public communication must focus on promoting trust, calm and clarity. When people understand the weight their words can carry during a crisis, they become part of the solution, not the problem.

References: 

1. https://dergipark.org.tr/en/download/article-file/3556152 
2. https://www.dhs.gov/sites/default/files/publications/SMWG_Countering-False-Info-Social-Media-Disasters-Emergencies_Mar2018-508.pdf 
3. https://english.mathrubhumi.com/news/india/fake-whatsapp-message-air-india-crash-pib-fact-check-fcwmvuyc ‍
4. https://www.dhs.gov/sites/default/files/publications/SMWG_Countering-False-Info-Social-Media-Disasters-Emergencies_Mar2018-508.pdf

‍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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India’s Rapid Digital Expansion

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Over the past decade, India has experienced a rapid digitalisation process. The rise of digital financial services,  affordable internet costs, and the penetration of smartphones have transformed the way people communicate, transact and do business online.

Online payment systems, including Unified Payments Interface (UPI), have enabled real-time transactions between banks and financial systems. As much as these systems have enhanced access to finance and efficiency, they have also created new opportunities for cybercriminals.

Cybercrime has evolved alongside the shift of financial and social interactions to digital platforms. The fraud attacks on online payments, online banking, and personal information have become common and increasingly costly.

To analyse the scale and trend of cybercrime in India, this analysis will use the datasets released by the National Crime Records Bureau (NCRB) and financial fraud data released by the Indian Cyber Crime Coordination Centre (I4C) under the Ministry of Home Affairs.
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The Rise of Cybercrime in India
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The Rise of Cybercrime in India
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Source: National Crime Records Bureau – Crime in India Reports

The data released by the NCRB documents cybercrime incidents registered by the police at the national level under the Information Technology Act, 2000 (IT Act) and criminal provisions covering offences such as cheating, impersonation, and digital fraud. In the past, the offences were listed in the provisions of the Indian Penal Code (IPC). Following criminal law reforms in India, on 1 July 2024, the Bharatiya Nyaya Sanhita (BNS), which replaced the IPC, came into force. Section 419 (cheating by impersonation), IPC, would be related to BNS Section 319 and Section 420 (cheating and dishonestly inducing delivery of property), which would be related to BNS Section 318(4). Similarly, crimes involving forgery and use of forged documents or electronic documents, which were previously contained in the IPC Sections 465-471, are dealt with in BNS Sections 335-340.

The data published by the NCRB represent the number of crimes that reached the point of the First Information Report (FIR) registration, meaning they reflect only cybercrime cases that were formally presented to the law enforcement system to investigate, rather than all complaints reported. The data shows that cybercrime cases increased from 27,248 in 2018 to 86,420 in 2023, a 3.17-fold increase in 5 years.

Two structural shifts are visible: the post-pandemic jump and subsequent acceleration.

However, these figures likely underestimate the true scale of cybercrime because many incidents are reported only through online complaint portals and may not result in FIR registration.
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The Financial Scale of Digital Fraud

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The Financial Scale of Digital Fraud

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Source: Ministry of Home Affairs via,  Indian Cyber Crime Coordination Centre (I4C), and National Cyber Crime Reporting Portal (NCRP)

This dataset tracks financial fraud complaints reported through the National Cyber Crime Reporting Portal (NCRP) and the estimated financial losses associated with those complaints.

The financial losses reported between 2021 and 2024 increased by 41 times over four years, compared to 2021, from 551 crore to 22,848 crore. At the same time, the number of complaints rose from 262,846 to over 1.9 million, an increase of ~623%, indicating both rising victimisation and greater public awareness of reporting mechanisms.

The contrast between these two trends is striking:
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While complaints increased by around 7 times, financial losses increased by over 40 times. 

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Distribution of Cyber-Fraud Complaints and Financial Losses by Fraud Type
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Source: Ministry of Home Affairs via Indian Cyber Crime Coordination Centre and National Cyber Crime Reporting Portal; analysis based on reporting in Business Standard using government cyber-fraud data.
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This divergence implies an uneven relationship between the number of incidents and the financial damage that they inflict. Most cyber fraud incidents involve relatively small transaction values; however, a smaller group of fraud categories result in disproportionate numbers of financial losses.
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Distribution of Financial Losses Across Major Cyber-Fraud Categories in India

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Source: Ministry of Home Affairs via,  Indian Cyber Crime Coordination Centre (I4C), and National Cyber Crime Reporting Portal (NCRP) figures reported by The Indian Express
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As reported by The Indian Express, based on the data compiled by the I4C, investment-related scams alone account for roughly 77% of reported cyber-fraud losses, followed by smaller shares from “digital arrest” scams (8%), credit card fraud (7%), sextortion (4%), e-commerce fraud (3%), and malware or app-based fraud (1%). This distribution means that even though scams with lower values, like phishing, OTP fraud, and small payment fraud, produce a high proportion of complaints, few categories of fraud produce most of the financial losses.

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Analysis

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1. Cybercrime is expanding faster than most traditional crimes: The fact that cybercrime cases have tripled in five years shows that cyber offences are presently becoming a significant element of Indian crime. Unlike conventional crimes that require physical proximity, cybercrime can be conducted remotely and at scale, enabling perpetrators to target large numbers of victims simultaneously.

2. Financial losses are concentrated in a small set of fraud categories: As cases of cybercrimes have been on the increase, the monetary losses of digital fraud cases have been increasing at a higher rate. The fact that the number of reported financial losses has increased 40 times in 4 years indicates that cybercrime has a very high economic impact.

3. Complaint volumes and financial damage follow different patterns: When comparing complaints and financial losses, it is evident that cyber fraud losses are unevenly distributed across types of incidents. Most of the prevalent scams reported, including phishing or OTP fraud, involve relatively small transaction values but yield a high portion of complaints. Conversely, fewer categories of fraud, especially investment-based schemes, contribute a significantly higher percentage of total financial losses.

4. Digital financial infrastructure has expanded the attack surface: India’s rapid adoption of digital payment systems, mobile banking and digital  financial systems has dramatically increased the number of potential victims of cybercriminals. The scale of online transactions creates new vulnerabilities that organised cybercrime networks take advantage of.

5. Reporting improvements reveal previously hidden crime: The expansion of national reporting systems has enhanced the transparency in the trends of cybercrime. The increase in the number of complaints recorded is partially due to improved reporting systems and not necessarily to the increased criminal activity, meaning that previous data might have understated the magnitude of cyber fraud.

Recommendations
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1. Move from reactive policing to proactive cyber-risk monitoring: The conventional models of policing focus on investigation of crimes that have already taken place. With such a magnitude and pace of cyber fraud, India should have systems that are designed to detect and prevent the fraud at its early stages, such as real-time observation of suspicious patterns in transactions by financial institutions.

2. Strengthen financial intelligence sharing across institutions: There are a lot of instances of cyber fraud that use more than one bank, payment system, and telecommunication provider. To detect new networks of fraud sooner, it can be suggested to establish more information-sharing measures between the financial institution and law enforcement agencies.

3. Target organised cyber fraud networks rather than individual incidents: Many digital scams operate through organised networks that coordinate phishing, mule accounts, and fake payment channels. The solution in regard to this involves dismantling these networks through investigative procedures instead of treating incidents on a case-by-case basis.

4. Improve recovery mechanisms for stolen funds: The recovery of the funds lost is one of the most difficult issues in cases of cyber fraud. Expanding systems such as the Citizen Financial Cyber Fraud Reporting and Management System (CFCFRMS) can improve the speed at which fraudulent transactions are frozen or reversed.

5. Strengthen digital financial literacy: A significant percentage of cyber frauds are based on social engineering methods that take advantage of user behaviour as opposed to technical weaknesses. Victimisation can be greatly reduced through specific public awareness efforts on typical scam schemes.

Conclusion
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India’s experience illustrates a broader global trend: as economies digitise, crime increasingly follows the flow of digital money. While cybercrime incidents are rising steadily, the much faster growth in financial losses suggests that cybercriminals are becoming more organised, technologically sophisticated, and economically motivated.

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References:
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• https://indianexpress.com/article/india/indians-lost-rs-53000-crore-fraud-cheating-cases-six-years-maharashtra-2025-10452185/ 
• https://www.pib.gov.in/PressReleasePage.aspx?PRID=2226441&reg=3&lang=2 -
• https://www.ncrb.gov.in/crime-in-india.html 
• https://i4c.mha.gov.in/index.aspx 
• https://i4c.mha.gov.in/index.aspx 

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