#FactCheck - Uncovered: Viral LA Wildfire Video is a Shocking AI-Generated Fake!

Introduction 

The link between social media and misinformation is undeniable. Misinformation, particularly the kind that evokes emotion, spreads like wildfire on social media and has serious consequences, like undermining democratic processes, discrediting science, and promulgating hateful discourses which may incite physical violence. If left unchecked, misinformation propagated through social media has the potential to incite social disorder, as seen in countless ethnic clashes worldwide.  This is why social media platforms have been under growing pressure to combat misinformation and have been developing models such as fact-checking services and community notes to check its spread. This article explores the pros and cons of the models and evaluates their broader implications for online information integrity.

How the Models Work 

1. Third-Party Fact-Checking Model (formerly used by Meta) Meta initiated this program in 2016 after claims of extraterritorial election tampering through dis/misinformation on its platforms. It entered partnerships with third-party organizations like AFP and specialist sites like Lead Stories and PolitiFact, which are certified by the International Fact-Checking Network (IFCN) for meeting neutrality, independence, and editorial quality standards. These fact-checkers identify misleading claims that go viral on platforms and publish verified articles on their websites, providing correct information. They also submit this to Meta through an interface, which may link the fact-checked article to the social media post that contains factually incorrect claims. The post then gets flagged for false or misleading content, and a link to the article appears under the post for users to refer to. This content will be demoted in the platform algorithm, though not removed entirely unless it violates Community Standards. However, in January 2025, Meta announced it was scrapping this program and beginning to test X’s Community Notes Model in the USA, before rolling it out in the rest of the world. It alleges that the independent fact-checking model is riddled with personal biases, lacks transparency in decision-making, and has evolved into a censoring tool. 
2. Community Notes Model ( Used by X and being tested by Meta): This model relies on crowdsourced contributors who can sign up for the program, write contextual notes on posts and rate the notes made by other users on X. The platform uses a bridging algorithm to display those notes publicly, which receive cross-ideological consensus from voters across the political spectrum. It does this by boosting those notes that receive support despite the political leaning of the voters, which it measures through their engagements with previous notes. The benefit of this system is that it is less likely for biases to creep into the flagging mechanism. Further, the process is relatively more transparent than an independent fact-checking mechanism since all Community Notes contributions are publicly available for inspection, and the ranking algorithm can be accessed by anyone, allowing for external evaluation of the system by anyone. 

CyberPeace Insights

Meta’s uptake of a crowdsourced model signals social media’s shift toward decentralized content moderation, giving users more influence in what gets flagged and why. However, the model’s reliance on diverse agreements can be a time-consuming process. A study (by Wirtschafter & Majumder, 2023) shows that only about 12.5 per cent of all submitted notes are seen by the public, making most misleading content go unchecked. Further, many notes on divisive issues like politics and elections may not see the light of day since reaching a consensus on such topics is hard. This means that many misleading posts may not be publicly flagged at all, thereby hindering risk mitigation efforts. This casts aspersions on the model’s ability to check the virality of posts which can have adverse societal impacts, especially on vulnerable communities. On the other hand, the fact-checking model suffers from a lack of transparency, which has damaged user trust and led to allegations of bias. 

Since both models have their advantages and disadvantages, the future of misinformation control will require a hybrid approach. Data accuracy and polarization through social media are issues bigger than an exclusive tool or model can effectively handle. Thus, platforms can combine expert validation with crowdsourced input to allow for accuracy, transparency, and scalability. 

Conclusion 

Meta’s shift to a crowdsourced model of fact-checking is likely to have bigger implications on public discourse since social media platforms hold immense power in terms of how their policies affect politics, the economy, and societal relations at large.  This change comes against the background of sweeping cost-cutting in the tech industry, political changes in the USA and abroad, and increasing attempts to make Big Tech platforms more accountable in jurisdictions like the EU and Australia, which are known for their welfare-oriented policies. These co-occurring contestations are likely to inform the direction the development of misinformation-countering tactics will take.  Until then, the crowdsourcing model is still in development, and its efficacy is yet to be seen, especially regarding polarizing topics. 

References 

• https://www.cyberpeace.org/resources/blogs/new-youtube-notes-feature-to-help-users-add-context-to-videos
• https://en-gb.facebook.com/business/help/315131736305613?id=673052479947730
• http://techxplore.com/news/2025-01-meta-fact.html 
• https://about.fb.com/news/2025/01/meta-more-speech-fewer-mistakes/ 
• https://communitynotes.x.com/guide/en/about/introduction 
• https://blogs.lse.ac.uk/impactofsocialsciences/2025/01/14/do-community-notes-work/?utm_source=chatgpt.com 
• https://www.techpolicy.press/community-notes-and-its-narrow-understanding-of-disinformation/ 
• https://www.rstreet.org/commentary/metas-shift-to-community-notes-model-proves-that-we-can-fix-big-problems-without-big-government/ 
• https://tsjournal.org/index.php/jots/article/view/139/57 

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Executive Summary:

Internship scams have infiltrated the academic landscape, scamming students of many prestigious colleges. The students often prefer to carry out internships to gain knowledge and work experience. These scams use the name of popular multinational companies to exploit the students. This report studies the various case studies, their modus operandi, impact on the students and preventive strategies. This report emphasises the importance of awareness and proactive measures to protect students from falling victim to such frauds.

1. Introduction

Internships are the opportunity to overcome the gap between the practical knowledge acquired at the university and practical experience, to get practical skills and contacts in the field of activity, as well as improve employment prospects. Instead, because of high paying internships and interesting positions students have become targets of work scams. As we have seen with the advancement in digital technology, scammers take advantage of the disguise of the internet, making very neat, smart, and convincing scams. 

 Internship scams are very prevalent and they include fake job listings and phishing schemes as well as payment frauds which make students lose lots of money and also emotionally expose them. In this specific case, this paper examines how these scams work, the warning signs, and ways of protecting students from falling victim to them.

2. Detailed Modus Operandi of Internship Scams

Internship scams often employ  a variety of tactics to attract and deceive unsuspecting students. Below is a detailed breakdown of the common methods used by scammers:

1. Fake Job Listings and Offers:some text
   • Scammers post attractive internship offers on popular job portals, social media platforms, and even send personalised messages via LinkedIn. These listings often mimic the branding and style of reputable companies, including well-designed logos, professional email addresses, and official-looking websites.
   • Example: A fake internship offer from a reputed software firm circulates on a job portal, with a professional landing page. Students who apply are quickly “hired” without any interviews, and are asked to pay a security deposit to confirm their acceptance.
2. Upfront Payment Requests:some text
   • Scammers ask for payment such as registration fees, training materials, background checks, or security deposits. These payments comes under non-refundable payment  and it act as the primary revenue stream for the fraudsters.
   • Example: A group of students receive internship offers requiring a payment of INR 10,000 for "training materials" and "online assessments." After making the payment, the students never hear back from the company, and all attempts to contact them were futile.
3. Phishing and Identity Theft:some text
   • Beyond financial fraud, some scams aim to steal personal information. Fake internship applications often require detailed personal data, including identity proofs, bank account details. This data will be used as identity theft or sold on the dark web.
   • Example: A student applies for an internship that asks for copies of identification documents and bank details. This information sharing led to unauthorised transactions in their bank account. 
4. Work-from-Home Frauds:some text
   • With the rise of remote work, scammers also offer work-from-home internships that require students to purchase software or pay for specialised training. After payment, students are often given irrelevant tasks or no tasks at all, leaving them with no real work experience.
   • Example: An internship advertised as a "remote data analysis role" required students to buy a proprietary software licence. After paying, students realised the software was freely available online, and the internship tasks were non-existent.
5. Impersonation of Reputed Companies:some text
   • Scammers use the name of well-known companies, they modify the email addresses or create fake websites that look original. They use these platforms to send offer letters, making it difficult for students to identify the scam.
   • Example: A scammer creates a fake website mirroring a major consulting firm's internship page. The only difference is a minor change in the URL. Dozens of students are duped into paying registration fees.

3. Case Studies of Real-Life Incidents

1. Case Study 1: The Certification Course and Internshipsome text
   • A group of students received personalised emails from an official domain of a reputed tech industry providing an internship offer. Students were asked to pay Rs 10,000 to undergo a certification course to carry the internship. After paying the amount, the students did not receive any instructions, and the company was found to be nonexistent. The scammer had spoofed the company’s email domain, making it difficult to trace the source.
2. Case Study 2: The Social Media Trapsome text
   • A student from a university encountered an internship post on Instagram, advertising roles at a popular fashion brand. The application process involved a "screening fee" of INR 5,000. Despite appearing legitimate, the internship was fake, and the brand had no knowledge of the post. The student's personal data was also compromised, leading to unauthorised social media activity.
3. Case Study 3: Internship Providing Social Platformssome text
   • A popular internship providing platform, faced an incident where a scammer posted fraudulent internship offers under the guise of a major multinational. The scam involved asking students to purchase expensive software to start their work. The platform had to issue warnings and remove the listings after several complaints.

4. The Impact on Students

The consequences of internship scams extend beyond immediate financial loss, affecting students on multiple levels:

1. Financial Impact:some text
   • Students lose their money, ranging from minor fees to significant payments.
2. Emotional and Psychological Distress:some text
   • These kinds of scams can lead to anxiety, depression and loss of confidence in availing the opportunities in future. 
3. Exposure to Further Scams:some text
   • Scammers often share details of their victims with other fraudsters, making students susceptible to repeated scams, including phishing attacks, financial frauds, and unsolicited offers.

5. Preventive Measures

1. Verification of Internships:some text
   • Always verify the authenticity of the internship by researching the company on official platforms such as LinkedIn, the company’s official website, and through trusted contacts or college placement cells.
2. Avoid Upfront Payments:some text
   • Employers do not ask for money in exchange for job or internship offers. If they demand for any kind of payment, then the employer is not original. Always question the necessity of such payments and consult trusted advisors before proceeding.
3. Use Trusted Job Portals:some text
   • Apply for internships through recognized platforms like LinkedIn, Internshala, or your college’s placement cell, which have verification processes to filter out fraudulent postings.
4. Reporting Scams:some text
   • Report suspicious offers to your college authorities, placement cells, and local cybercrime departments. Additionally, use platforms like Internshala’s “Report This Job” feature to flag fraudulent listings.
5. Stay Educated and Updated:some text
   • It is important to educate students by providing workshops, webinars, and awareness sessions on cybersecurity to stay informed and report about the latest scams. 

6. Conclusion

Internship scams are a severe threat to the student society since they manipulate the student’s desire for an internship. The best ways to prevent such cons are by being cautious and receptive to whatever is being offered. Internship seekers, colleges and the placement cells have to work hand in hand to ensure that there is no fear among  people seeking internships.

References

1. Smith, J. (2024). Internship Scams on the Rise: How to Spot and Avoid Them. Retrieved from example1.com.
2. Brown, A. (2023). Student Internship Scams in India: A Growing Concern. Retrieved from example2.com.
3. Johnson, L. (2024). How to Protect Yourself from Fake Internship Offers. Retrieved from example3.com.
4. Gupta, R. (2024). Social Media and the Rise of Job Scams. Retrieved from example4.com.

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Introduction

The insurance industry is a target for cybercriminals due to the sensitive nature of the information it holds. This makes it essential for insurance companies to have robust cybersecurity measures to protect their data and customers’ personal information.

Cyber fraud in India’s insurance industry is increasing. It is reported that the Indian insurance sector has witnessed a surge in cyber-attacks, with several instances of data breaches, identity thefts, and financial fraud being reported. These cybercrimes not only pose a significant threat to the financial stability of the insurance industry but also to the privacy and security of policyholders.

Cyber Frauds in the Insurance Industry

The insurance industry in India has been the target of increasing cyber fraud in recent years. With the growing digital transformation trend, insurance companies have become increasingly vulnerable to cyber-attacks. Cyber frauds in the insurance industry are initiated by hackers who use various techniques such as phishing, malware, ransomware, and social engineering to gain unauthorised access to policyholders’ personal data and sensitive information

Kinds of cyber frauds in the insurance industry

It is essential for insurers and policyholders alike to be aware of these kinds of cyber-attacks on insurance companies in today’s digital age. Staying educated about these threats can help prevent them from happening in the future.

Identity theft– One common type of cyber fraud that occurs in the insurance industry is identity theft. In this type of fraud, criminals steal personal information such as name, address, date of birth and social security numbers through phishing emails or fraudulent websites. They then use this information to open fraudulent policies or access existing ones.

Payment fraud- Another type of cyber fraud that is on the rise is payment fraud. In this type of fraud, hackers intercept electronic payments made by policyholders or agents using fake bank accounts or compromised payment gateways. The money is then siphoned into untraceable accounts, making it difficult for law enforcement agencies to identify and arrest the perpetrators.

Phishing attacks- Where the fraudsters posed as company officials and sent emails to policyholders requesting their account details. The unsuspecting customers fell for this scam and shared their sensitive information, which was then used to access their accounts and steal funds.

Hacking- Where hackers breach the company’s system to gain access to policyholder data. The hackers’ stoles personal records, including names, addresses, phone numbers, social security numbers, and financial information, which they later sell on the dark web.

Fake policies scam- Fraudsters create fake policies using stolen identities and collect premiums from innocent customers. The insurer then voided these policies due to fraudulent activity leaving those people without valid coverage when they needed it most. The victims suffer significant financial losses due to this scam.

Fake Insurance Websites- Discuss the creation of deceptive websites that imitate well-known insurance companies, where unsuspecting individuals provide their personal details, leading to identity theft or financial losses.

Prevention of Cyber Frauds in the Insurance Industry- Best practices to follow

Prevention is better than cure, which also holds true in the case of cyber fraud in the insurance industry. The industry must take proactive steps to prevent such frauds from occurring in the first place. One of the most effective ways to do so is by investing in cybersecurity measures that are specifically designed for the insurance sector.

Insurance companies must conduct regular employee training programs on cybersecurity best practices. This includes educating employees on how to identify and avoid phishing emails, create strong passwords, and recognise potential cyber threats. Companies should also establish a reporting mechanism for employees to report suspicious activity or incidents immediately.

Having proper access controls in place is also necessary. This means limiting access to sensitive data only to those employees who need it, implementing two-factor authentication, and regularly monitoring user activity logs. Regular audits can also provide an extra layer of protection against potential threats by identifying vulnerabilities that may have been overlooked during routine security checks.

Another essential step is encrypting all data transmitted between different systems and devices. Encryption scrambles data into unreadable codes that can only be deciphered using a decryption key, making it difficult for hackers to intercept or steal information in transit.

Legal Framework for Cyber Frauds in the Insurance Industry

The legal framework for cyber fraud in the insurance industry is critical to preventing such crimes. The Insurance Regulatory and Development Authority of India (IRDAI) has issued guidelines for insurers to establish a cybersecurity framework. The guidelines require insurers to conduct regular risk assessments, implement security measures, and ensure compliance with data privacy laws.

The Information Technology Act 2000, is another significant piece of legislation dealing with cyber fraud in India. The act defines offences such as unauthorised access to a computer system, hacking, and tampering with data. It also provides for stringent penalties and imprisonment for those found guilty of such offences.

The IRDAI’s guidelines provide insurers with a roadmap to establish robust cybersecurity measures to help prevent cyber fraud in the insurance industry. Stringent implementation of these guidelines will go a long way in safeguarding sensitive customer information from falling into the wrong hands.

Best Practices for Insurers and Policyholders

Insurers:

Implementing Strong Authentication: Encouraging the use of multi-factor authentication and secure login processes to safeguard customer accounts and prevent unauthorised access.

Regular Employee Training: Conduct cybersecurity awareness programs to educate employees about the latest threats and preventive measures.

Investing in Advanced Technologies: Utilizing robust cybersecurity tools and systems to promptly detect and mitigate potential cyber threats.

Policyholders:

Vigilance and Awareness: Policyholders must stay vigilant while sharing personal information online and verify the authenticity of insurance websites and communication channels.

Regular Updates and Patches: Advising individuals to keep their devices and software up to date to minimise vulnerabilities that cybercriminals can exploit.

Secure Online Practices: Encouraging the use of strong and unique passwords, avoiding sharing sensitive information on unsecured networks, and exercising caution when clicking on suspicious links or attachments.

Conclusion

As the Indian insurance industry embraces digitisation, the risk of cyber scams and data breaches becomes a significant concern. Insurers and policyholders must collaborate to ensure robust cybersecurity measures are in place to protect sensitive information and financial interests.

It is essential for insurance companies to invest in robust cybersecurity measures that can detect and prevent fraud attempts. Additionally, educating employees on the dangers of cyber fraud and implementing strict compliance measures can go a long way in mitigating risks. With these efforts, the insurance industry can continue to provide trustworthy and reliable services to its customers while protecting against cyber threats. As technology continues to evolve, it is imperative that the insurance industry adapts accordingly and remains vigilant against emerging threats.