#FactCheck-India Passport Ranking Claim Comparing 2014 and 2026 Rankings Is Misleading

Introduction

Monopolies in any sector can have a great impact on economic efficiency and, by extension, on the market and the larger economy. Data monopolies hurt both small startups and large, established companies, and it is typically the biggest corporate players who have the biggest data advantage. Google has recently lost a major antitrust case filed by the U.S. Department of Justice, which focused on the company's search engine dominance and expensive partnerships to promote its products. The lawsuit accused Google of using its dominant position in the search engine market to maintain a monopoly. The case has had a significant impact on consumers and the tech industry as a whole. This dominance allowed Google to raise prices on advertisers without consequences, and delay innovations and privacy features that consumers want when they search online.

Antitrust Allegations Against Google in the US and EU

In the case filed by the US Department of Justice, US District Judge Amit Mehta ruled that Google was monopolistic. In the 10-week-long trial, Google lost the major antitrust lawsuit, and it was established that the tech giant had a monopoly in the web search and advertising sectors. The lawsuit accused Google of using its dominant position in the search engine market to elbow out rivals and maintain a monopoly. The tech giant’s exclusive deals with handset makers were brought before the court as evidence. Additionally, the European Commission has fined Google €1.49 billion for breaching EU antitrust rules in 2019.

The Impact of Big Tech Monopolies on the Digital Ecosystem and Beyond 

• Big-tech companies collect vast amounts of personal data, raising concerns about how this data is used and protected. The concentration of data in the hands of a few companies can lead to privacy breaches and misuse of personal information.
• The dominance of a few tech giants in digital advertising markets can stifle competition, leading to higher prices for advertisers and fewer choices for consumers. This concentration also allows these companies to exert major control over what ads are shown and to whom.
• Big-tech platforms have substantial power over the dissemination of information. Their algorithms and policies on content moderation can influence public discourse and may spread misinformation. The lack of competition means fewer alternatives are accessible for users seeking different content moderation policies. In 2021 Google paid $26.3 billion to ensure its search engine is the default on smartphones and browsers and to keep control of its dominant market share.

Regulatory Mechanisms in the Indian Context

In India, antitrust issues are governed by the Competition Act of 2002 and the Competition Commission of India (CCI) checks monopolistic practices. In 2022, the CCI imposed a penalty of Rs 1,337.76 crore on Google for abusing its dominant position in multiple markets for 'anti-competitive practices' in the Android mobile device ecosystem. The Draft Digital Competition Bill, 2024, has been proposed as a legislative reform to regulate a wide range of digital services, including online search engines, social networking platforms, video-sharing sites, interpersonal communication services, operating systems, web browsers, cloud services, advertising services, and online intermediation services. The bill aims to promote competition and fairness in the digital market by addressing anti-competitive practices and dominant position abuses in the digital business space.

Conclusion

Big-tech companies are increasingly under scrutiny from regulators due to concerns over their monopolistic practices, data privacy issues, and the immense influence on markets and public discourse. The U.S. Department of Justice's victory against Google and the European Commission's hefty fines are indicators of a global paradigm shift towards more aggressive regulation to foster competition and protect consumer interests. The combined efforts of regulators across different jurisdictions underscore the recognition that monopolistic practices by such big tech giants can stifle innovation, harm consumers’ interests, and create barriers for new entrants, thus necessitating strong legal frameworks to ensure fair and contestable markets. Overall, the increasing regulatory pressure signifies a pivotal moment for big-tech companies, as they face the challenge of adapting to a more tightly controlled environment where their market dominance and business practices are under intense examination.

References

• https://www.livemint.com/technology/tech-news/googles-future-siege-u-s-court-explores-breaking-up-company-after-landmark-ruling-11723648047735.html
• https://www.thehindu.com/sci-tech/technology/what-is-the-google-monopoly-antitrust-case-and-how-does-it-affect-consumers/article68495551.ece 
• https://indianexpress.com/article/business/google-has-an-illegal-monopoly-on-search-us-judge-finds-9497318/

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Introduction

The Telecom Regulatory Authority of India (TRAI) has directed all telcos to set up detection systems based on Artificial Intelligence and Machine Learning (AI/ML) technologies in order to identify and control spam calls and text messages from unregistered telemarketers (UTMs).

The TRAI Directed telcos

The telecom regulator, TRAI, has directed all Access Providers to detect Unsolicited commercial communication (UCC)by systems, which is based on Artificial Intelligence and Machine Learning to detect, identify, and act against senders of Commercial Communication who are not registered in accordance with the provisions of the Telecom Commercial Communication Customer Preference Regulations, 2018 (TCCCPR-2018). Unregistered Telemarketers (UTMs) are entities that do not register with Access Providers and use 10-digit mobile numbers to send commercial communications via SMS or calls.

TRAI steps to curb Unsolicited commercial communication

TRAI has taken several initiatives to reduce Unsolicited Commercial Communication (UCC), which is a major source of annoyance for the public. It has resulted in fewer complaints filed against Registered Telemarketers (RTMs). Despite the TSPs’ efforts, UCC from Unregistered Telemarketers (UTMs) continues. Sometimes, these UTMs use messages with bogus URLs and phone numbers to trick clients into revealing crucial information, leading to financial loss.

To detect, identify, and prosecute all Unregistered Telemarketers (UTMs), the TRAI has mandated that Access Service Providers implement the UCC.

Detect the System with the necessary functionalities within the TRAI’s Telecom Commercial Communication Customer Preference Regulations, 2018 framework.

Access service providers have implemented such detection systems based on their applicability and practicality. However, because UTMs are constantly creating new strategies for sending unwanted communications, the present UCC detection systems provided by Access Service providers cannot detect such UCC.

TRAI also Directs Telecom Providers to Set Up Digital Platform for Customer Consent to Curb Promotional Calls and Messages.

Unregistered Telemarketers (UTMs) sometimes use messages with fake URLs and phone numbers to trick customers into revealing essential information, resulting in financial loss.

TRAI has urged businesses like banks, insurance companies, financial institutions, and others to re-verify their SMS content templates with telcos within two weeks. It also directed telecom companies to stop misusing commercial messaging templates within the next 45 days.

The telecom regulator has also instructed operators to limit the number of variables in a content template to three. However, if any business intends to utilise more than three variables in a content template for communicating with their users, this should be permitted only after examining the example message, as well as adequate justifications and justification.

In order to ensure consistency in UCC Detect System implementations, TRAI has directed all Access Providers to deploy UCC and detect systems based on artificial intelligence and Machine Learning that are capable of constantly evolving to deal with new signatures, patterns, and techniques used by UTMs.

Access Providers have also been directed to use the DLT platform to share intelligence with others. Access Providers have also been asked to ensure that such UCC Detect System detects senders that send unsolicited commercial communications in bulk and do not comply with the requirements. All Access Providers are directed to follow the instructions and provide an update on actions done within thirty days.

The move by TRAI is to curb the menacing calls as due to this, the number of scam cases is increasing, and now a new trend of scams started as recently, a Twitter user reported receiving an automated call from +91 96681 9555 with the message “This call is from Delhi Police.” It then asked her to stay in the queue since some of her documents needed to be picked up. Then he said he works as a sub-inspector at the Kirti Nagar police station in New Delhi. He then inquired whether she had recently misplaced her Aadhaar card, PAN card, or ATM card, to which she replied ‘no’. The scammer then poses as a cop and requests that she authenticate the last four digits of her card because they have found a card with her name on it. And a lot of other people tweeted about it.

Conclusion

TRAI directed the telcos to check the calls and messages from Unregistered numbers. This step of TRAI will curb the pesky calls and messages and catch the Frauds who are not registered with the regulation. Sometimes the unregistered sender sends fraudulent links, and through these fraudulent calls and messages, the sender tries to take the personal information of the customers, which results in financial losses.

Executive Summary

A purported video of Lieutenant General Devendra Sharma is being shared on social media, falsely portraying him as saying that “five aviators who participated in Operation Sindoor are missing from our training list. CyberPeace Research Wingresearch found that the viral video is completely fabricated and generated using artificial intelligence. The Ministry of Defence has also dismissed the clip as an AI-generated deepfake. The investigation found that Lieutenant General Devendra Sharma, Commander of the Army Training Command, never made any such statement. The viral clip has been manipulated by inserting fake audio into footage from his original speech to spread a misleading narrative.

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Claim

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A user on social media platform X shared the viral video with the caption:“Fifty-nine officers were listed at the Combat Army Aviation Training School, but five officers are missing. They were involved in Operation Sindoor as pilots of four Rafale jets and one Su-30 aircraft…”

‍https://x.com/InsiderWB 

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Fact Check

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To verify the claim, we extracted several keyframes from the viral video and conducted a reverse-image search. During the investigation, we found the original video on ANI’s official X account. In the authentic footage, Lt Gen Sharma is seen speaking at a routine event at a training institution. His remarks focused on regular training-related matters, and he made no reference to missing pilots, Operation Sindoor, or any alleged losses.

https://x.com/ANI/status/2061731994971881667 

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In the next stage of the investigation, we found a post by the Ministry of Defence, Government of India, which also identified the viral clip as a deepfake.

https://www.facebook.com/watch/?v=1697698548109000 

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The ministry clarified that the video had been manipulated using AI-generated audio and did not reflect any genuine statement made by Lt Gen Devendra Sharma.

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Conclusion

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The viral video is a fabricated AI-generated deepfake. Lieutenant General Devendra Sharma never made the statement attributed to him about five missing aviators linked to Operation Sindoor. The original video was altered by inserting fake audio into authentic footage. The manipulated clip is being circulated online to spread misinformation and create confusion regarding the Indian Armed Forces.

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