#FactCheck – False Claim of Lord Ram's Hologram in Srinagar - Video Actually from Dehradun

Introduction

Words come easily, but not necessarily the consequences that follow. Imagine a 15-year-old child on the internet hoping that the world will be nice to him and help him gain confidence, but instead, someone chooses to be mean on the internet, or the child becomes the victim of a new kind of cyberbullying, i.e., online trolling. The consequences of trolling can have serious repercussions, including eating disorders, substance abuse, conduct issues, body dysmorphia, negative self-esteem, and, in tragic cases, self-harm and suicide attempts in vulnerable individuals. The effects of online trolling can include anxiety, depression, and social isolation. This is one example, and hate speech and online abuse can touch anyone, regardless of age, background, or status. The damage may take different forms, but its impact is far-reaching. In today’s digital age, hate speech spreads rapidly through online platforms, often amplified by AI algorithms. 

As we celebrate today, i.e., 18th June, the International Day for Countering Hate Speech, if we have ever been mean to someone on the internet, we pledge never to repeat that kind of behaviour, and if we have been the victim, we will stand against the perpetrator and report it. 

This year, the theme for the International Day for Countering Hate Speech is “Hate Speech and Artificial Intelligence Nexus: Building coalitions to reclaim inclusive and secure environments free of hatred. UN Secretary-General Antonio Guterres, in his statement, said, “Today, as this year’s theme reminds us, hate speech travels faster and farther than ever, amplified by Artificial Intelligence. Biased algorithms and digital platforms are spreading toxic content and creating new spaces for harassment and abuse."

Coded Convictions: How AI Reflects and Reinforces Ideologies

Algorithms have swiftly taken the place of feelings; they tamper with your taste, and they do so with a lighter foot, invisibly. They are becoming an important component of social media user interaction and content distribution. While these tools are designed to improve user experience, they frequently inadvertently spread divisive ideologies and push extremist propaganda. This amplification can strengthen the power of extremist organisations, spread misinformation, and deepen societal tensions. This phenomenon, known as “algorithmic radicalisation,” demonstrates how social media companies may utilise a discriminating content selection approach to entice people down ideological rabbit holes and shape their ideas. AI-driven algorithms often prioritise engagement over ethics, enabling divisive and toxic content to trend and placing vulnerable groups, especially youth and minorities, at risk. The UN’s Strategy and Plan of Action on Hate Speech, launched on June 18, 2019, recognises that while AI holds promise for early detection and prevention of harmful speech, it also demands stringent human rights safeguards. Without regulation, these tools can themselves become purveyors of bias and exclusion. 

India’s Constitutional Resolve and Civilizational Ethos against Hate

India has always taken pride in being inclusive and united rather than divided. As far as hate speech is concerned, India's stand is no different. The United Nations, India believes in the same values as its international counterpart. Although India has won many battles against hate speech, the war is not over and is now more prominent than ever due to the advancement in communication technologies. In India, while the right to freedom of speech and expression is protected under Article 19(1)(a), its exercise is limited subject to reasonable restrictions under Article 19(2). Landmark rulings such as Ramji Lal Modi v. State of U.P. and Amish Devgan v. UOI have clarified that speech can be curbed if it incites violence or undermines public order. Section 69A of the IT Act, 2000, empowers the government to block content, and these principles are also reflected in Section 196 of the BNS, 2023 (153A IPC) and Section 299 of the BNS, 2023 (295A IPC). Platforms are also required to track down the creators of harmful content and remove it within a reasonable hour and fulfil their due diligence requirements under IT rules.

While there is no denying that India needs to be well-equipped and prepared normatively to tackle hate propaganda and divisive forces. India’s rich culture and history, rooted in philosophies of Vasudhaiva Kutumbakam (the world is one family) and pluralistic traditions, have long stood as a beacon of tolerance and coexistence. By revisiting these civilizational values, we can resist divisive forces and renew our collective journey toward harmony and peaceful living.

CyberPeace Message

The ultimate goal is to create internet and social media platforms that are better, safer and more harmonious for each individual, irrespective of his/her/their social and cultural background. CyberPeace stands resolute on promoting digital media literacy, cyber resilience, and consistently pushing for greater accountability for social media platforms. 

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References

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• https://www.un.org/en/observances/countering-hate-speech 
• https://www.artemishospitals.com/blog/the-impact-of-trolling-on-teen-mental-health 
• https://www.orfonline.org/expert-speak/from-clicks-to-chaos-how-social-media-algorithms-amplify-extremism ‍
• https://www.techpolicy.press/indias-courts-must-hold-social-media-platforms-accountable-for-hate-speech/

Executive Summary 

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A postcard featuring BJP leader Manoj Tiwari is being widely shared on social media with a purported statement attributed to him. The viral postcard claims that Tiwari suggested that if people stopped using the ₹1 coin and treated ₹2 as ₹1, the value of the dollar would automatically come down to ₹45. Users are sharing the post claiming that the BJP leader made the bizarre suggestion to strengthen the Indian rupee against the US dollar.

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However, research by the CyberPeace Research Wing found the claim to be false. Manoj Tiwari never made any such statement regarding the rupee and the dollar. The BJP MP himself has dismissed the viral claim as fake.

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Claim

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TMC leader Kirti Azad shared the viral postcard on X and wrote, “As received on X, forwarded as it is. India is truly blessed with such brilliant minds.”

https://x.com/KirtiAzaad/status/2055905987115233473?s=20

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Fact Check

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A keyword search on Google did not yield any credible media reports suggesting that Manoj Tiwari had made such a statement. No reliable source was found to support the viral claim. Further research led to a clarification posted on Manoj Tiwari’s official Facebook page. In the video statement, Tiwari categorically denied making any such remark about the rupee and the dollar. He stated that the viral claim being circulated in his name was completely fake.

Manoj Tiwari’s clarification video on Facebook

• https://www.facebook.com/watch/live/?ref=watch_permalink&v=3365930740240885

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Conclusion

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The viral claim is false. Manoj Tiwari never made any statement suggesting that stopping the use of ₹1 and treating ₹2 as ₹1 would strengthen the rupee against the dollar. He has himself denied the claim and called it fake.

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Introduction

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AI is transforming the way work is done and redefining the nature of jobs over the next decade. In the case of India, it is not just what duties will be taken over by machines, but how millions of employees will move to other sectors, which skills will become more sought-after, and how policy will have to change in response. This article relies on recent labour data of India's Periodic Labour Force Survey (PLFS, 2023-24) and discusses the vulnerabilities to disruption by location and social groups. It recommends viable actions that can be taken to ensure that risks are minimised and economic benefits maximised.

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India’s Labour Market and Its Automation Readiness

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According to India’s Periodic Labour Force Survey (PLFS), the labour market is changing and growing. Participation in the labour force improved to 60.1 per percent in 2023-24 versus 57.9 per cent the year before, and the ratio of the worker population also improved, signifying the increased employment uptake both in the rural and urban geographies (PLFS, 2023-24). There has also been an upsurge of female involvement. However,  a big portion of the job market has been low-wage and informal, with most of the jobs being routine and thus most vulnerable to automation. The statistics indicate a two-tiered reality of the Indian labour market: an increased number of working individuals and a structural weakness.

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AI-Driven Automation’s Impact on Tasks and Emerging Opportunities 

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AI-driven automation, for the most part,  affects the task components of jobs rather than wiping out whole jobs. The most automatable tasks are routine and manual, and more recent developments in AI have extended to non-routine cognitive tasks like document review, customer query handling, basic coding and first-level decision-making. There are two concurrent findings of global studies. To start with, part of the ongoing tasks will be automated or expedited. Second, there will be completely new tasks and work positions around data annotation, the operation of AI systems, prompt engineering, algorithmic supervision and AI adherence (World Bank, 2025; McKinsey, 2017).

In the case of India, this change will be skewed by sector. The manufacturing, back-office IT services, retail and parts of financial services will see the highest rate of disruption due to the concentration of routine processes with the ease of technology adoption. In comparison, healthcare, education, high-tech manufacturing and AI safety auditing are placed to create new skilled jobs. NITI Aayog estimates huge returns in GDP with the adoption of AI but emphasises that India has to invest simultaneously in job creation and reskilling to achieve the returns (NITI Aayog, 2025).

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Groups with Highest Vulnerability in the Transition to Automation

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The PLFS emphasises that a large portion of the Indian population does not have any formal employment and that the social protection is minimal and formal training is not available to them. The risk of displacement is likely to be the greatest for informal employees, making up almost 90% of India’s labour force, who carry out low-skilled, repetitive jobs in the manufacturing and retail industry (PLFS, 2023-24). Women and young people in low-level service jobs also face a greater challenge of transition pressure unless the reskilling and placement efforts can be tailored to them. Meanwhile, major cities and urban centres are likely to have openings for most of the new skilled opportunities at the expense of an increasing geographic and social divide. 

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The Skills and Supply Challenge

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While India’s education and research ecosystem is expanding, there remain significant gaps in preparing the workforce for AI-driven change. Given the vulnerabilities highlighted earlier, AI-focused reskilling must be a priority to equip workers with practical skills that meet industry needs. Short modular programs in areas such as cloud technologies, AI operations, data annotation, human-AI interaction, and cybersecurity can provide workers with employable skills. Particular attention should be given to routine-intensive sectors like manufacturing, retail, and back-office services, as well as to regions with high informal employment or lower access to formal training. Public-private partnerships and localised training initiatives can help ensure that reskilling translates into concrete job opportunities rather than purely theoretical knowledge (NITI Aayog, 2025)

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The Way Forward

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To facilitate the change process, the policy should focus on three interconnected goals: safeguarding the vulnerable, developing competencies on a large-scale level, and directing innovation towards the widespread ability to benefit.

1. Protect the vulnerable through social buffers. Provide informal workers with social protection in the form of portable benefits, temporary income insurance based on reskilling, and earned training leave. While the new labour codes provide essential protections such as unemployment allowances and minimum wage standards, they could be strengthened by incorporating explicit provisions for reskilling. This would better support informal workers during job transitions and enhance workforce adaptability.
2. Short modular courses on cloud computing, cybersecurity, data annotation, AI operations, and human-AI interaction should be planned through collaboration between public and private training providers. Special preference should be given to industry-certified certifications and apprenticeship-based placements. These apprenticeships should be made accessible in multiple languages to ensure inclusivity. Existing government initiatives, such as NASSCOM’s Future Skills Prime, need better outreach and marketing to reach the workforce effectively.
3. Enhance local labour market mediators. Close the disparity between local demand and the supply of labour in the industry by enhancing placement services and government-subsidised internship programmes for displaced employees and encouraging firms to hire and train locally.
4. Invest in AI literacy, AI ethics, and basic education. Democratise access to research and learning by introducing AI literacy in schools, increasing STEM seats in universities, and creating AI labs in the region (NITI Aayog, 2025).
5. Encourage AI adoption that creates jobs rather than replaces them. Fiscal and regulatory incentives should prioritise AI tools that augment worker productivity in routine roles instead of eliminating positions. Public procurement can support firms that demonstrate responsible and inclusive deployment of AI, ensuring technology benefits both business and workforce.
6. Supervise and oversee the transition. Use PLFS and real-time administrative data to monitor shrinking and expanding occupations. High-frequency labour market dashboards will allow making specific interventions in those regions in which the acceleration of displacement occurs.

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Conclusion

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The integration of AI will significantly impact the future of the Indian workforce, but policy will determine its effect on the labour market.  The PLFS indicates increased employment but a structural weakness of informal and routine employment. Evidence from the Indian market and international research points to the fact that the appropriate combination of social protection, skills building and responsible technology implementation can change disruption into a path of upward mobility. There is a very limited window of action. The extent to which India will realise the productivity and GDP benefits predicted by national research, alongside the investments made in labour market infrastructure, remains uncertain. It is crucial that these efforts lead to the capture of gains and facilitate a fair and inclusive transition for workers.

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References

• Annual Report Periodic Labour Force Survey (PLFS) JULY 2022 - JUNE 2023. 
• Future Jobs: Robots, Artificial Intelligence, and Digital Platforms in East Asia and Pacific, World Bank. 
• Jobs Lost, Jobs Gained: What the Future of Work Will Mean for Jobs, Skills, and Wages, McKinsey Global Institute 
• Roadmap for Job Creation in the AI Economy, NITI Aayog
• India central bank chief warns of financial stability risks from growing use of AI, Reuters 
• AI Cyber Attacks Statistics 2025, SQ Magazine. 

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