#FactCheck -AI-Generated Video Falsely Shared as Leopard Dragging Passenger From Moving Train

Introduction

The term ‘super spreader’ is used to refer to social media and digital platform accounts that are able to quickly transmit information to a significantly large audience base in a short duration. The analogy references the medical term, where a small group of individuals is able to rapidly amplify the spread of an infection across a huge population. The fact that a few handful accounts are able to impact and influence many is attributed to a number of factors like large follower bases, high engagement rates, content attractiveness or virality and perceived credibility.

Super spreader accounts have become a considerable threat on social media because they are responsible for generating a large amount of low-credibility material online. These individuals or groups may create or disseminate low-credibility content for a number of reasons, running from social media fame to garnering political influence, from intentionally spreading propaganda to seeking financial gains. Given the exponential reach of these accounts, identifying, tracing and categorising such accounts as the sources of misinformation can be tricky. It can be equally difficult to actually recognise the content they spread for the misinformation that it actually is. 

How Do A Few Accounts Spark Widespread Misinformation? 

Recent research suggests that misinformation superspreaders, who consistently distribute low-credibility content, may be the primary cause of the issue of widespread misinformation about different topics. A study[1] by a team of social media analysts at Indiana University has found that a significant portion of tweets spreading misinformation are sent by a small percentage of a given user base. The researchers conducted a review of 2,397,388 tweets posted on Twitter (now X) that were flagged as having low credibility and details on who was sending them. The study found that it does not take a lot of influencers to sway the beliefs and opinions of large numbers. This is attributed to the impact of what they describe as superspreaders. The researchers collected 10 months of data, which added up to 2,397,388 tweets sent by 448,103 users, and then reviewed it, looking for tweets that were flagged as containing low-credibility information. They found that approximately a third of the low-credibility tweets had been posted by people using just 10 accounts, and that just 1,000 accounts were responsible for posting approximately 70% of such tweets.[2]

Case Study

1. How Misinformation ‘Superspreaders’ Seed False Election Theories

During the 2020 U.S. presidential election, a small group of "repeat spreaders" aggressively pushed false election claims across various social media platforms for political gain, and this even led to rallies and radicalisation in the U.S.[3] Superspreaders accounts were responsible for disseminating a disproportionately large amount of misinformation related to the election, influencing public opinion and potentially undermining the electoral process.

In the domestic context, India was ranked highest for the risk of misinformation and disinformation according to experts surveyed for the World Economic Forum’s 2024 Global Risk Report. In today's digital age, misinformation, deep fakes, and AI-generated fakes pose a significant threat to the integrity of elections and democratic processes worldwide. With 64 countries conducting elections in 2024, the dissemination of false information carries grave implications that could influence outcomes and shape long-term socio-political landscapes. During the 2024 Indian elections, we witnessed a notable surge in deepfake videos of political personalities, raising concerns about the influence of misinformation on election outcomes.

2. Role of Superspreaders During Covid-19

Clarity in public health communication is important when any grey areas or gaps in information can be manipulated so quickly. During the COVID-19 pandemic, misinformation related to the virus, vaccines, and public health measures spread rapidly on social media platforms, including Twitter (Now X). Some prominent accounts or popular pages on platforms like Facebook and Twitter(now X) were identified as superspreaders of COVID-19 misinformation, contributing to public confusion and potentially hindering efforts to combat the pandemic.

As per the Center for Countering Digital Hate Inc (US), The "disinformation dozen," a group of 12 prominent anti-vaccine accounts[4], were found to be responsible for a large amount of anti-vaccine content circulating on social media platforms, highlighting the significant role of superspreaders in influencing public perceptions and behaviours during a health crisis.

There are also incidents where users are unknowingly engaged in spreading misinformation by forwarding information or content which are not always shared by the original source but often just propagated by amplifiers, using other sources, websites, or YouTube videos that help in dissemination. The intermediary sharers amplify these messages on their pages, which is where it takes off. Hence such users do not always have to be the ones creating or deliberately popularising the misinformation, but they are the ones who expose more people to it because of their broad reach. This was observed during the pandemic when a handful of people were able to create a heavy digital impact sharing vaccine/virus-related misinformation. 

3. Role of Superspreaders in Influencing Investments and Finance

Misinformation and rumours in finance may have a considerable influence on stock markets, investor behaviour, and national financial stability. Individuals or accounts with huge followings or influence in the financial niche can operate as superspreaders of erroneous information, potentially leading to market manipulation, panic selling, or incorrect impressions about individual firms or investments.

Superspreaders in the finance domain can cause volatility in markets, affect investor confidence, and even trigger regulatory responses to address the spread of false information that may harm market integrity. In fact, there has been a rise in deepfake videos, and fake endorsements, with multiple social media profiles providing unsanctioned investing advice and directing followers to particular channels. This leads investors into dangerous financial decisions. The issue intensifies when scammers employ deepfake videos of notable personalities to boost their reputation and can actually shape people’s financial decisions. 

Bots and Misinformation Spread on Social Media

Bots are automated accounts that are designed to execute certain activities, such as liking, sharing, or retweeting material, and they can broaden the reach of misinformation by swiftly spreading false narratives and adding to the virality of a certain piece of content. They can also artificially boost the popularity of disinformation by posting phony likes, shares, and comments, making it look more genuine and trustworthy to unsuspecting users. Bots can exploit social network algorithms by establishing false identities that interact with one another and with real users, increasing the spread of disinformation and pushing it to the top of users' feeds and search results.

Bots can use current topics or hashtags to introduce misinformation into popular conversations, allowing misleading information to acquire traction and reach a broader audience. They can lead to the construction of echo chambers, in which users are exposed to a narrow variety of perspectives and information, exacerbating the spread of disinformation inside restricted online groups. There are incidents reported where bot's were found as the sharers of content from low-credibility sources.

Bots are frequently employed as part of planned misinformation campaigns designed to propagate false information for political, ideological, or commercial gain. Bots, by automating the distribution of misleading information, can make it impossible to trace the misinformation back to its source. Understanding how bots work and their influence on information ecosystems is critical for combatting disinformation and increasing digital literacy among social media users.

CyberPeace Policy Recommendations

1. Recommendations/Advisory for Netizens:

1. Educating oneself: Netizens need to stay informed about current events, reliable fact-checking sources, misinformation counter-strategies, and common misinformation tactics, so that they can verify potentially problematic content before sharing.
2. Recognising the threats and vulnerabilities: It is important for netizens to understand the consequences of spreading or consuming inaccurate information, fake news, or misinformation. Netizens must be cautious of sensationalised content spreading on social media as it might attempt to provoke strong reactions or to mold public opinions. Netizens must consider questioning the credibility of information, verifying its sources, and developing cognitive skills to identify low-credibility content and counter misinformation.
3. Practice caution and skepticism: Netizens are advised to develop a healthy skepticism towards online information, and critically analyse the veracity of all information sources. Before spreading any strong opinions or claims, one must seek supporting evidence,  factual data, and expert opinions, and verify and validate claims with reliable sources or fact-checking entities.
4. Good netiquette on the Internet, thinking before forwarding any information: It is important for netizens to practice good netiquette in the online information landscape. One must exercise caution while sharing any information, especially if the information seems incorrect, unverified or controversial. It's important to critically examine facts and recognise and understand the implications of sharing false, manipulative, misleading or fake information/content. Netizens must also promote critical thinking and encourage their loved ones to think critically, verify information, seek reliable sources and counter misinformation.
5. Adopting and promoting Prebunking and Debunking strategies: Prebunking and debunking are two effective strategies to counter misinformation. Netizens are advised to engage in sharing only accurate information and do fact-checking to debunk any misinformation. They can rely on reputable fact-checking experts/entities who are regularly engaged in producing prebunking and debunking reports and material. Netizens are further advised to familiarise themselves with fact-checking websites, and resources and verify the information.

2. Recommendations for tech/social media platforms 

1. Detect, report and block malicious accounts: Tech/social media platforms must implement strict user authentication mechanisms to verify account holders' identities to minimise the formation of fraudulent or malicious accounts. This is imperative to weed out suspicious social media accounts, misinformation superspreader accounts and bots accounts. Platforms must be capable of analysing public content, especially viral or suspicious content to ascertain whether it is misleading, AI-generated, fake or deliberately misleading. Upon detection, platform operators must block malicious/ superspreader accounts. The same approach must apply to other community guidelines’ violations as well. 
2. Algorithm Improvements: Tech/social media platform operators must develop and deploy advanced algorithm mechanisms to detect suspicious accounts and recognise repetitive posting of misinformation. They can utilise advanced algorithms to identify such patterns and flag any misleading, inaccurate, or fake information.
3. Dedicated Reporting Tools: It is important for the tech/social media platforms to adopt robust policies to take action against social media accounts engaged in malicious activities such as spreading misinformation, disinformation, and propaganda. They must empower users on the platforms to flag/report suspicious accounts, and misleading content or misinformation through user-friendly reporting tools.
4. Holistic Approach: The battle against online mis/disinformation necessitates a thorough examination of the processes through which it spreads. This involves investing in information literacy education, modifying algorithms to provide exposure to varied viewpoints, and working on detecting malevolent bots that spread misleading information. Social media sites can employ similar algorithms internally to eliminate accounts that appear to be bots. All stakeholders must encourage digital literacy efforts that enable consumers to critically analyse information, verify sources, and report suspect content. Implementing prebunking and debunking strategies. These efforts can be further supported by collaboration with relevant entities such as cybersecurity experts, fact-checking entities, researchers, policy analysts and the government to combat the misinformation warfare on the Internet.  

References:

1. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302201 {1}
2. https://phys.org/news/2024-05-superspreaders-responsible-large-portion-misinformation.html#google_vignette {2}
3. https://phys.org/news/2024-05-superspreaders-responsible-large-portion-misinformation.html#google_vignette {3}
4. https://counterhate.com/research/the-disinformation-dozen/ {4}
5. https://phys.org/news/2024-05-superspreaders-responsible-large-portion-misinformation.html#google_vignette
6. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0302201
7. https://www.nytimes.com/2020/11/23/technology/election-misinformation-facebook-twitter.html
8. https://www.wbur.org/onpoint/2021/08/06/vaccine-misinformation-and-a-look-inside-the-disinformation-dozen
9. https://healthfeedback.org/misinformation-superspreaders-thriving-on-musk-owned-twitter/
10. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139392/
11. https://www.jmir.org/2021/5/e26933/
12. https://www.yahoo.com/news/7-ways-avoid-becoming-misinformation-121939834.html

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Introduction

As per the National Crime Records Bureau (NCRB) ‘Cyber Crime In India Report 2022’, A total of 65,893 cases were registered under Cyber Crimes, showing an increase of 24.4% in registration in comparison to 52,974 cases registered in 2021. The crime rate increased from 3.9 in 2021 to 4.8 in 2022. During 2022, 64.8% of cyber-crime cases registered were for the motive of fraud (42,710 out of 65,893 cases), followed by Extortion with 5.5% (3,648 cases) and Sexual Exploitation with 5.2% (3,434 cases). The statistics released by NCRB show the increased rate of cyber crimes in the country, which poses a significant question of safety in the online world. The rise in cybercrime indicates a rise in emerging criminal groups with malicious intentions, creating new cybercrime hotspots in the country where these groups target and commit cyber crimes despite limited resources.

Cyber Crime Hotspots

Police have recently arrested several cyber criminals in a specific region, indicating that certain areas have become hotspots for cybercrime. Mewat region is one such hotspot indicating a growing trend of cybercrime operating from this area. The Mewat gang's modus operandi is quite different; Cybercriminals in Mewat scam mobile owners just using smartphones and SIM cards without kingpins and targeting mobile owners. The scammers also lure people through online marketplaces such as OLX, in which they pretend to sell possessions and then either physically lure victims to pick-up locations or scam them virtually. 

A study conducted by Future Crime Research Foundation and IIT Kanpur in 2023 has revealed that Jamatara city, once considered the cyber crime capital of India, is no longer the epicentre. The study found that 35 hotspots in India are actively involved in cybercrime activities. The top 10 cybercrime hotspots in India collectively account for 80% of cybercrime-related cases in India. These districts are strategically located near India's capital or closer to the National Capital Region (NCR). These districts are strategically placed with multiple borders, making them easy targets for criminals.  

Online financial fraud and social media-related crimes are the most common in India. Cybercriminals exploit data as a gold mine, using it to commit crimes. For instance, they can obtain banking and insurance data, use simple AI tools to cheat victims, and they can easily impersonate identities to lure innocent people. In cybercrime hotspots, sextortion is a modern way for cybercriminals to record and demand money. Loan app fraud, OLX fraud, and job fraud also originate from these specific regions.

Recommendations 

To counter the challenges posed by emerging cybercrime hubs, the following recommendations are to be considered: 

• Advanced threat Intelligence: The digital landscape is evolving, and the threat landscape is becoming more complex. AI's role in cybersecurity is becoming increasingly critical, both positively and negatively, as it helps in understanding and addressing advanced threats. AI is capable of proactive threat hunting, real-time anomaly detection, and swift incident response.
• Enhancing capabilities of Law Enforcement Agencies: Law enforcement agencies must be sensitised to advanced tools or techniques to investigate cyber crime cases effectively. The development and implementation of advanced forensic tools and technologies need to be utilised or implemented to keep up with the evolving tactics of cybercrime perpetrators. 
• Continuous Monitoring: Continuous cybersecurity monitoring is crucial for detecting anomalies and preventing cyber-attacks. It involves analysing systems and data to establish baseline security, identify deviations, and investigate potential threats. Cybersecurity experts use data observability tools, artificial intelligence, and machine learning to detect unexpected dataset changes.
• Cyber Security Awareness: Public awareness needs to be higher. Cybercrime prevention and cybersecurity is a shared responsibility of all of us by being aware of the threats and following the best practices. The frequent interaction between law enforcement and the public is necessary to raise awareness about safeguarding personal and financial information. Effective campaigns on cyber security are necessary to educate netizens.

Safety Tips for Netizens

Install up-to-date security software and firewalls on devices, use strong passwords for accounts, and regularly update software and applications. Be cautious when clicking on links or downloading files from unknown sources, and be cautious of your personal information.

Conclusion

The rise of Cyber Crime Hotspots in specific regions or districts has significantly exacerbated the issue of increasing cybercrime rates. In order to combat cybercrime more effectively, it is necessary for law enforcement agencies to strengthen their coordination between different states and to adapt advanced technology methods to counter cybercrime threats effectively. Moreover, educating netizens about cyber crime threats and providing best practices is an effective method to counter these threats, considered the first line of defense against cybercrime.

References

• https://ncrb.gov.in/uploads/nationalcrimerecordsbureau/custom/1701607577CrimeinIndia2022Book1.pdf
• https://economictimes.indiatimes.com/tech/technology/no-kingpins-just-a-smartphone-and-sim-card-how-cybercriminals-in-mewat-scam-mobile-owners/articleshow/98062889.cms?from=mdr
• https://www.futurecrime.org/fcrf-cyber-crime-survey-2023
• https://timesofindia.indiatimes.com/city/mumbai/jamtara-loses-crown-as-new-remote-districts-rewrite-indias-cybercrime-map/articleshow/104475868.cms?from=mdr
• https://government.economictimes.indiatimes.com/news/secure-india/80-of-cyber-crimes-from-10-new-districts-iit-report/103921338
• https://www.dw.com/en/how-mewat-became-indias-new-hub-for-cyber-criminals/video-68674527
• https://www.indiatoday.in/from-india-today-magazine/story/into-cybercrime-hotspot-india-mewat-rajasthan-haryana-uttar-pradesh-2381545-2023-05-19
• https://frontline.thehindu.com/the-nation/spotlight-how-nuh-district-in-haryana-became-a-breeding-ground-for-cybercriminals/article67098193.ece
• https://www.opindia.com/2024/04/nuh-mewat-cyber-crime-haryana-police-crackdown/#google_vignette

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Executive Summary:

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A viral video depicting a powerful tsunami wave destroying coastal infrastructure is being falsely associated with the recent tsunami warning in Japan following an earthquake in Russia. Fact-checking through reverse image search reveals that the footage is from a 2017 tsunami in Greenland, triggered by a massive landslide in the Karrat Fjord.

Claim:

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A viral video circulating on social media shows a massive tsunami wave crashing into the coastline, destroying boats and surrounding infrastructure. The footage is being falsely linked to the recent tsunami warning issued in Japan following an earthquake in Russia. However, initial verification suggests that the video is unrelated to the current event and may be from a previous incident.

Fact Check:

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The video, which shows water forcefully inundating a coastal area, is neither recent nor related to the current tsunami event in Japan. A reverse image search conducted using keyframes extracted from the viral footage confirms that it is being misrepresented. The video actually originates from a tsunami that struck Greenland in 2017. The original footage is available on YouTube and has no connection to the recent earthquake-induced tsunami warning in Japan

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The American Geophysical Union (AGU) confirmed in a blog post on June 19, 2017, that the deadly Greenland tsunami on June 17, 2017, was caused by a massive landslide. Millions of cubic meters of rock were dumped into the Karrat Fjord by the landslide, creating a wave that was more than 90 meters high and destroying the village of Nuugaatsiaq. A similar news article from The Guardian can be found. 

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Conclusion:

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Videos purporting to depict the effects of a recent tsunami  in Japan are deceptive and repurposed from unrelated incidents. Users of social media are urged to confirm the legitimacy of such content before sharing it, particularly during natural disasters when false information can exacerbate public anxiety and confusion.

• Claim: Recent natural disasters in Russia are being censored
• Claimed On: Social Media
• Fact Check: False and Misleading

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