#FactCheck- Viral ‘Modi Massage Video’ Claim False, Features Content Creators

About Customs Scam:

The Customs Scam is a type of fraud where the scammers pretend to be from the renowned courier office company (DTDC, etc.), or customs department or other government entities. They try to deceive the targets to transfer the money to resolve the fake customs related concerns.  The Research Wing at CyberPeace along with the Research Wing of Autobot Infosec Private Ltd. delved into this case through Open Source Intelligence methods and undercover interactions with the scammers and concluded with some credible information.

Case Study:

The victim receives a phone call posing as a renowned courier office (DTDC, etc.) employee (in some case custom’s officer) that a parcel in the name of the victim has been taken into custody because of inappropriate content. The scammer provides the victim an employee ID, FIR number to prove the authenticity of the case and also they show empathy towards the victim. The scammer pretends to help the victim to connect with a police officer for further action. This so-called police officer shows transparency in his work. He asks him to join a skype video call and he even provides time to install the skype app. He instructs the victim to connect with the skype id provided by the fake police officer where the scammer created a fake police station environment. He also claims that he contacted the headquarters and the victim’s phone number is associated with many illegal activities to create panic to the victim.  Then the scammers also ask the victim to give their personal details such as home address, office address, aadhar card number, PAN card number and screenshot of their bank accounts along with their available account balance for the sake of so-called investigation. Sometimes scammers also demand a high amount of money to resolve the issue and create fake urgency to trap the victim in making the payment. He sternly warns the victim not to contact any other police officials or professionals, making it clear that doing so would only lead to more trouble.

Analysis & Findings: 

After receiving these kinds of complaints from multiple sources, the analysis was done on the collection of phone numbers from where the calls originated. These phone numbers were analysed for alias name, location, Telecom operator,  etc.  Further, we have verified the number to check whether the number is linked with any social media account on reputed platforms like Google, Facebook, Whatsapp, Twitter, Instagram, Linkedin, and other classified platforms such as Locanto.

• Phone Number Analysis: Each phone number looks authentic, cleverly concealing the fraud. Sometimes scammers use virtual/temporary phone numbers for these kinds of scams. In this case the victim was from Delhi, so the scammer posed themselves from Delhi Police station, while the phone numbers belong to a different place.

• Undercover Interactions:  The interactions with the suspects reveals their chilling way of modus operandi. These scammers are masters of psychological manipulation. They threaten the victims and act as if they are genuine LEA officers. 
• Exploitation Tactics: They target unsuspecting individuals and create fear and fake urgency among the targets to extract sensitive information such as Aadhaar, PAN card and bank account details.

• Fraud Execution: The scammers demand for the payment to resolve this issue and they make use of the stolen personally identifiable information. Once the victims transfer the money, the fraudsters cut off all the communication.
• Outcome for Victims:  The scammers act so genuine and they frame the incidents so realistic, victims don't realise that they are trapped in this scam. They suffer severe financial loss and psychological trauma.

Recommendations:

• Verify Identities: It is important to verify the identity of any individual, especially if they demand personal information or payment. Contact the official agency directly using verified contact details to confirm the authenticity of the communication.
• Education on Personal Information: Provide education to people to protect their personal identity numbers like Aadhaar and PAN card number. Always emphasise the possible dangers connected to sharing such data in the course of phone conversations.
• Report Suspicious Activity: Prompt reporting of suspicious phone calls or messages to relevant authorities and consumer protection agencies helps in tracking down scammers and prevents people from falling. Report to https://cybercrime.gov.in or reach out to helpline@cyberpeace.net for further assistance. 
• Enhanced Cybersecurity Measures: Implement robust cybersecurity measures to detect and mitigate phishing attempts and fraudulent activities. This includes monitoring and blocking suspicious phone numbers and IP addresses associated with scams.

Conclusion:

In the Customs Scam fraud, the scammers pretend to be a custom or any government official and sometimes threaten the targets to get the details such as Aadhaar, PAN card details, screenshot of their bank accounts along with their available balance in their account. The phone numbers used for these kinds of scams were analysed for any suspicious activity. It is found that all the phone numbers look authentic concealing the fraudentent activities. The interactions made with them reveals that they create fearness and urgency between the individuals. They act as if they are genuine officer’s and ask for money to resolve this issue. It is important to stay vigilant and not to share any personal or financial information. When facing these kinds of scams, report and spread awareness among individuals.

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Introduction

China is on the verge of unveiling a new policy that will address how Artificial Intelligence (AI) influences employment. On January 27, 2026, the Ministry of Human Resources and Social Security (MOHRSS) announced it would publish a paper on the contribution of AI to the labour and employment markets. The policy will include provisions to help impacted industries, expand assistance to young workers and graduates, and come up with interdisciplinary training programmes to equip individuals with jobs in an AI-enabled economy. The authorities have stressed that AI does not kill jobs but changes them, and education will be needed to assist employees in adjusting to the changes.

This announcement reflects a more proactive policy on AI-based changes in labour, showing that China intends to sustain economic modernisation through AI, as well as social stability. It also depicts wider international issues concerning the rate of automation and the necessity of considering labour and training policy. 

AI and the Changing Nature of Work

AI is transforming work content and nature in industries. AI systems enhance the productivity of various functions, including data processing, logistics, and customer service, although they alter the nature of tasks carried out by humans. Extant studies indicate that although AI can automate routine activities, new occupations that require complex thinking, management of artificial intelligence, and skills related to people, including empathy, creativity, and problem-solving, may be generated.

This is the key nuance in the policy framing of China. Authorities point out that AI does not always result in massive unemployment. Instead, it transforms jobs and necessitates workers to change to new task profiles. This perspective is in line with the recent reports of the world research organisations, which predict the effects of AI as transformational and not necessarily destructive. As an example, the World Economic Forum Future Jobs Report 2023 observes that the change in technology will introduce new jobs that were not there 10 years ago, and retraining and upskilling will be instrumental in accessing those opportunities.

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Key Components of China’s Policy Response

China’s forthcoming policy is expected to focus on three main areas that address both current workforce needs and future readiness.

Support for Key Industries

The policy will offer targeted assistance to sectors where artificial intelligence is gaining pace. Industries like advanced manufacturing, high-tech services, and online logistics will also get specialised assistance to assist companies in using AI to complement human labour and not just to replace it. The Chinese government tries to balance industrial upgrading with employment by channelling resources to the growth areas.

Assistance for Youth and Graduates

The youth and the recent graduates are entering a labour market that is changing rapidly. The policy aims to increase the support services to this population by career counselling, internships, and training programmes correlated with changing employer demands. According to a study by McKinsey Global Institute, the young workforce all over the globe can face disproportionate disruption in case the prospects of training are scarce, making initial career backing imperative.

Interdisciplinary Talent Development

The Chinese strategy focuses on interdisciplinary training that blends knowledge of domains and AI literacy and digital illiteracy. This is indicative of the realisation that hybrid skills are required in the future. The Organisation for Economic Cooperation and Development suggests that workers who can make it through the technical and non-technical elements of work will stand a better chance of winning in the AI age.

These components show that China’s strategy is not simply to protect existing jobs but to help workers transition to roles that leverage AI’s strengths.

Economy, Stability and Strategic Modernisation

The policy is an attempt to control technological transition as part of wider economic planning. It is an indication that the government regards AI as a structural change rather than an external shock that can be predicted and influenced by policy.

This is in contrast to some other reactions to labour markets in other countries, where the reactionary approach has been seen as a reaction to the job losses that have already become reality. The initiative by China implies that there should be a change in the manner in which one can expect change instead of reacting to change.

Global Comparisons and Shared Challenges

Governments worldwide are testing the options to adapt to the work effects of AI. The European Union is considering the individual learning account and portable training benefits, which would assist workers to gain access to reskilling opportunities in the course of their careers. In the US, there is a concerted effort by the public-private partnerships to match the development of the workforce with technological implementation.

The strategy of China has some of these components, but it stands out due to its incorporation with national planning processes. China wants the adoption of AI to help it achieve the common good and not division by connecting the workforce policy to the overall innovation and economic purpose.

Meanwhile, the issue of balancing the supply of labour with the demand of technology is a challenge of its own to countries with older populations and relatively smaller working forces. The timing and design of policy are particularly significant in China, as there is a large labour force and continuous changes in demography.

Practical Challenges and Risks

The success of China’s emerging policy will depend on effective implementation. Several practical issues will require careful attention:

Ensuring Equitable Access to Training

The labour force in China is diversified, and it goes through technology zones in cities and other rural areas. It will be paramount to make sure that the opportunity of upskilling is extended to all workers across the spectrum to prevent the further worsening of regional inequalities. Research conducted on reskilling across the globe shows that rural and low-income groups tend to lack access to training, despite the availability of programmes.

Aligning Training with Labour Demand

The programme of upskilling should be related to the market requirements. Disconnected training is prone to resulting in the production of skills that are obsolete or not applicable in actual work settings. Experience in emerging economies indicates that the involvement of employers in the training design enhances placement success on the part of the learner.

Private Sector Participation

The policy needs to be translated into employment outcomes with the help of private companies. Incentives to make firms invest in worker training, internships, and apprenticeships will enable workers to shift to AI-augmented jobs with ease.

A Model for AI Workforce Policy

The Chinese policy can serve as an example for other countries that want to balance technological advancement and labour market security. It acknowledges the fact that the effect of AI on employment is not only a technical or an economic problem but also a social challenge. Through foregrounding training, support, and coordinated action, China aims to create a future where people are ready to change and not lose their jobs to this change.

This strategy can be agreed with the suggestions of international organisations like the World Bank and the OECD, which insist on the idea of lifelong learning and flexibility of labour markets, as well as proactive investment in human capital as the main aspects of the labour policy in the future.

Conclusion

Artificial intelligence will continue to reshape work around the world. China’s forthcoming policy, which emphasises support, training and strategic integration of AI into labour markets, reflects a proactive and holistic view of technological transition. Other countries could benefit from studying this approach, especially in terms of linking workforce development with innovation goals.

By anticipating disruption and investing in people as well as technology, policymakers can help ensure that AI becomes a driver of shared economic opportunity rather than a source of exclusion. The balance between innovation and employment will shape not only economic outcomes but also social cohesion in the years ahead.

References

• https://www.stcn.com/article/detail/3615689.html
• https://www.weforum.org/publications/the-future-of-jobs-report-2023/ 
• https://www.mckinsey.com/featured-insights/future-of-work 

https://www.oecd.org/en/topics/employment.html

Introduction

Twitter is a popular social media plate form with millions of users all around the world. Twitter’s blue tick system, which verifies the identity of high-profile accounts, has been under intense scrutiny in recent years. The platform must face backlash from its users and brands who have accused it of basis, inaccuracy, and inconsistency in its verification process. This blog post will explore the questions raised on the verification process and its impact on users and big brands.

What is Twitter’s blue trick System?

The blue tick system was introduced in 2009 to help users identify the authenticity of well-known public figures, Politicians, celebrities, sportspeople, and big brands. The Twitter blue Tick system verifies the identity of high-profile accounts to display a blue badge next to your username.

According to a survey, roughly there are 294,000 verified Twitter Accounts which means they have a blue tick badge with them and have also paid the subscription for the service, which is nearly $7.99 monthly, so think about those subscribers who have paid the amount and have also lost their blue badge won’t they feel cheated?

The Controversy

Despite its initial aim, the blue tick system has received much criticism from consumers and brands. Twitter’s irregular and non-transparent verification procedure has sparked accusations of prejudice and inaccuracy. Many Twitter users have complained that the network’s verification process is random and favours account with huge followings or celebrity status. In contrast, others have criticised the platform for certifying accounts that promote harmful or controversial content.

Furthermore, the verification mechanism has generated user confusion, as many need to understand the significance of the blue tick badge. Some users have concluded that the blue tick symbol represents a Twitter endorsement or that the account is trustworthy. This confusion has resulted in users following and engaging with verified accounts that promote misleading or inaccurate data, undermining the platform’s credibility.

How did the Blue Tick Row start in India?

On 21 May 2021, when the government asked Twitter to remove the blue badge from several profiles of high-profile Indian politicians, including the Indian National Congress Party Vice-President Mr Rahul Ghandhi.

The blue badge gives the users an authenticated identity. Many celebrities, including Amitabh Bachchan, popularly known as Big B, Vir Das, Prakash Raj, Virat Kohli, and Rohit Sharma, have lost their blue tick despite being verified handles.

What is the Twitter policy on blue tick?

To Twitter’s policy, blue verification badges may be removed from accounts if the account holder violates the company’s verification policy or terms of service. In such circumstances, Twitter typically notifies the account holder of the removal of the verification badge and the reason for the removal. In the instance of the “Twitter blue badge row” in India, however, it appears that Twitter did not notify the impacted politicians or their representatives before revoking their verification badges. Twitter’s lack of communication has exacerbated the controversy around the episode, with some critics accusing the company of acting arbitrarily and not following due process.

Is there a solution?

The “Twitter blue badge row” has no simple answer since it involves a complex convergence of concerns about free expression, social media policies, and government laws. However, here are some alternatives:

• Establish clear guidelines: Twitter should develop and constantly implement clear guidelines and policies for the verification process. All users, including politicians and government officials, would benefit from greater transparency and clarity.
• Increase transparency: Twitter’s decision-making process for deleting or restoring verification badges should be more open. This could include providing explicit reasons for badge removal, notifying impacted users promptly, and offering an appeals mechanism for those who believe their credentials were removed unfairly.
• Engage in constructive dialogue: Twitter should engage in constructive dialogue with government authorities and other stakeholders to address concerns about the platform’s content moderation procedures. This could contribute to a more collaborative approach to managing online content, leading to more effective and accepted policies.
• Follow local rules and regulations: Twitter should collaborate with the Indian government to ensure it conforms to local laws and regulations while maintaining freedom of expression. This could involve adopting more precise standards for handling requests for material removal or other actions from governments and other organisations.

Conclusion

To sum up, the “Twitter blue tick row” in India has highlighted the complex challenges that Social media faces daily in handling the conflicting interests of free expression, government rules, and their own content moderation procedures. While Twitter’s decision to withdraw the blue verification badges of several prominent Indian politicians garnered anger from the government and some public members, it also raised questions about the transparency and uniformity of Twitter’s verification procedure. In order to deal with this issue, Twitter must establish clear verification procedures and norms, promote transparency in its decision-making process, participate in constructive communication with stakeholders, and adhere to local laws and regulations. Furthermore, the Indian government should collaborate with social media platforms to create more effective and acceptable laws that balance the necessity for free expression and the protection of citizens’ rights. The “Twitter blue tick row” is just one example of the complex challenges that social media platforms face in managing online content, and it emphasises the need for greater collaboration among platforms, governments, and civil society organisations to develop effective solutions that protect both free expression and citizens’ rights.