#FactCheck - False Claim of Hindu Sadhvi Marrying Muslim Man Debunked

Executive Summary:

‍
A viral video claiming the crash site of Air India Flight AI-171 in Ahmedabad has misled many people online. The video has been confirmed not to be from India or a recent crash, but was filmed at Universal Studios Hollywood on a TV or movie set meant to look like a plane crash set piece for a movie.

‍

Claim:

‍
A video that purportedly shows the wreckage of Air India Flight AI-171 after crashing in Ahmedabad on June 12, 2025, has circulated among social media users. The video shows a large amount of aircraft wreckage as well as destroyed homes and a scene reminiscent of an emergency, making it look genuine.

‍

‍

Fact check:

‍
In our research, we took screenshots from the viral video and used reverse image search, which matched visuals from Universal Studios Hollywood. It became apparent that the video is actually from the most famous “War of the Worlds" set, located in Universal Studios Hollywood. The set features a 747 crash scene that was constructed permanently for Steven Spielberg's movie in 2005. We also found a YouTube video. The set has fake smoke poured on it, with debris scattered about and additional fake faceless structures built to represent a scene with a larger crisis. Multiple videos on YouTube here, here, and here can be found from the past with pictures of the tour at Universal Studios Hollywood, the Boeing 747 crash site, made for a movie.

‍

‍

‍

‍

‍

‍

‍

The Universal Studios Hollywood tour includes a visit to a staged crash site featuring a Boeing 747, which has unfortunately been misused in viral posts to spread false information.

‍

‍

While doing research, we were able to locate imagery indicating that the video that went viral, along with the Universal Studios tour footage, provided an exact match and therefore verified that the video had no connection to the Ahmedabad incident. A side-by-side comparison tells us all we need to know to uncover the truth.

                                                                        

‍

Conclusion:

‍

‍
The viral video claiming to show the aftermath of the Air India crash in Ahmedabad is entirely misleading and false. The video is showing a fictitious movie set from Universal Studios Hollywood, not a real disaster scene in India. Spreading misinformation like this can create unnecessary panic and confusion in sensitive situations. We urge viewers to only trust verified news and double-check claims before sharing any content online.

• Claim: Massive explosion and debris shown in viral video after Air India crash.‍
• Claimed On: Social Media‍
• Fact Check: False and Misleading

‍

Introduction

‍

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.

‍

India’s Labour Market and Its Automation Readiness

‍

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.

‍

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

‍

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).

‍

Groups with Highest Vulnerability in the Transition to Automation

‍

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. 

‍

The Skills and Supply Challenge

‍

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)

‍

The Way Forward

‍

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.

‍

Conclusion

‍

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.

‍

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. 

‍

Introduction:

Welcome to the third edition of our blog on digital forensics series. In our previous blog we discussed the difference between copying, cloning, and imaging in the context of Digital Forensics, and found out why imaging is a better process. Today we will discuss the process of evidence collection in Digital Forensics. The whole process starts with making sure the evidence collection team has all necessary tools required for the task.

Investigating Tools and Equipment:

Below are some mentioned tools that the team should carry with them for a successful evidence collection:

• Anti-static bags
• Faraday bags
• Toolkit having screwdrivers(nonmagnetic), scissors, pins, cutters, forceps, clips etc.
• Rubber gloves
• Incident response toolkit (Software)
• Converter/Adapter: USB, SATA, IDE, SCSI
• Imaging software
• Volatile data collection tools (FTK Imager, Magnet Forensics RAM Capture)
• Pens, permanent markers
• Storage containers
• Batteries
• Video cameras
• Note/sketch pads
• Blank storage media
• Write-Blocker device
• Labels
• Crime scene security tapes
• Camera

What sources of Data are necessary for Digital Evidence?

• Hard-Drive (Desktop, Laptop, External, Server)
• Flash Drive
• SD Cards
• Floppy Disks
• Optical Media (CD, DVD)
• CCTV/DVR
• Internal Storage of Mobile Device
• GPS (Mobile/Car)
• Call Site Track (Towers)
• RAM

‍

‍

Evidence Collection

The investigators encounter two primary types of evidence during the course of gathering evidence: non-electronic and electronic evidence.

The following approaches could be used to gather non-electronic evidence:

• In the course of looking into electronic crimes, recovering non-electronic evidence can be extremely important.  Be cautious to make sure that this kind of evidence is retrieved and kept safe. Items that may be relevant to a later review of electronic evidence include passwords, papers or printouts, calendars, literature, hardware and software manuals, text or graphical computer printouts, and photos.  These items should be secured and kept for further examination.
• They are frequently found close to the computer or other related hardware.  Locating, securing, and preserving all evidence is required by departmental procedures.

Three scenarios arise for the collection of digital evidence from computers: 

Situation 1: The desktop is visible, and the monitor is on.

• Take a picture of the screen and note the data that is visible. 
• Utilize tools for memory capturing to gather volatile data.
• Look for virtual disks. If so, gather mounted data's logical copies.
• Give each port and connection a label.
• Take a picture of them.
• Turn off network access to stop remote access.
• Cut off the power or turn it off.
• Locate and disconnect the hard drive by opening the CPU chassis.
• Take all evidence and place it in anti-magnetic (Faraday) bags.
• Deliver the evidence to the forensic lab.
• Keep the chain of custody intact.

Situation 2: The monitor is turned on, but it either has a blank screen (sleep mode) or an image for the screensaver.

• Make a small mouse movement (without pressing buttons). The work product should appear on the screen, or it should ask for a password.
• If moving the mouse does not result in a change to the screen, stop using the mouse and stop all keystrokes.
• Take a picture of the screen and note the data that is visible.
• Use memory capturing tools to gather volatile data (always use a write blocker to prevent manipulation during data collection).
• Proceed further in accordance with Situation 1.

Situation 3: The Monitor Is Off

• Write down the "off" status.
• After turning on the monitor, check to see if its status matches that of situations 1 or 2 above, and then take the appropriate action.
• Using a phone modem, cable, confirm that you are connected to the outside world. Try to find the phone number if there is a connection to the phone.
• To protect evidence, take out the floppy disks that might be there, package each disk separately, and label the evidence.  Put in a blank floppy disk or a seizure disk, if one is available. Avoid touching the CD drive or taking out CDs.
• Cover the power connector and every drive slot with tape.
• Note the serial number, make, and model.
• Take a picture of the computer's connections and make a diagram with the relevant cables.
• To enable precise reassembly at a later date, label all connectors and cable ends, including connections to peripheral devices. Put "unused" on any connection ports that are not in use.  Recognize docking stations for laptop computers in an attempt to locate additional storage media.
• All evidence should be seized and placed in anti-magnetic (Faraday) bags.
• All evidence should be seized and placed in anti-magnetic (Faraday) bags.
• Put a tag or label on every bag.
• Deliver the evidence to the forensic lab.
• Keep the chain of custody intact. 

Following the effective gathering of data, the following steps in the process are crucial: data packaging, data transportation, and data storage.

The following are the steps involved in data packaging, transportation, and storage:

Packaging:

• Label every computer system that is gathered so that it can be put back together exactly as it was found

When gathering evidence at a scene of crime,

• Before packing, make sure that every piece of evidence has been appropriately  labeled and documented.
• Latent or trace evidence requires particular attention, and steps should be taken to preserve it.
• Use paper or antistatic plastic bags for packing magnetic media to prevent static electricity. Do not use materials like regular plastic bags (instead use faraday bags) that can cause static electricity. 
• Be careful not to bend, fold, computer media like tapes, or CD-ROM.
• Make sure that the labels on every container used to store evidence are correct.

Transporting

• Make sure devices are not packed in containers and are safely fastened inside the car to avoid shock and excessive vibrations. Computers could be positioned on the floor of the car,and monitors could be mounted on the seat with the screen down .

When transporting evidence—

• Any electronic evidence should be kept away from magnetic sources.  Radiation transmitters, speaker magnets, and heated seats are a few examples of items that can contaminate electronic evidence.
• Avoid leaving electronic evidence in your car for longer than necessary. Electronic devices can be harmed by extremes in temperature, humidity.
• Maintain the integrity of the chain of custody while transporting any evidence.

Storing

• Evidence should be kept safe and away from extremes in humidity and temperature. Keep it away from dust, moisture, magnetic devices, and other dangerous impurities.  Be advised that extended storage may cause important evidence—like dates, times, and system configurations—to disappear. Because batteries have a finite lifespan, data loss may occur if they malfunction. Whenever the battery operated device needs immediate attention, it should be informed to the relevant authority (eg., the chief of laboratory, the forensic examiner, and the custodian of the evidence). 

CONCLUSION:

Thus, securing the crime scene to packaging, transportation and storage of data are the important steps in the process of collecting digital evidence in forensic investigations. Keeping the authenticity during the process along with their provenance is critical during this phase. It is also important to ensure the admissibility of evidence in legal proceedings. This systematic approach is essential for effectively investigating and prosecuting digital crimes.

‍