#FactCheck: Old Video of Actor Mushtaq Khan’s Funeral Falsely Shared as Nana Patekar’s Final Farewell

Executive Summary

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A ‘deep depression’ formed over the Bay of Bengal made landfall along the Andhra Pradesh and Odisha coasts in late September 2026, affecting several districts. A video is going viral on social media in connection with the weather system, purportedly showing its impact. Some users are sharing the video claiming that it shows the effects of the storm in Odisha. CyberPeace Research fact-checked the viral claim and found that the impact of the storm was reported in Andhra Pradesh, Odisha, Telangana and Chhattisgarh. However, the viral video showing the destruction caused by the storm is actually from Bhadradri Kothagudem in Telangana.

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Claim

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Instagram user ‘deepak_.pandey900’ posted a video on September 24, 2026, along with an archive link, claiming that “Cyclone Arnab, which formed over the Bay of Bengal, made landfall along the north Andhra Pradesh and south Odisha coasts between 11 pm and 1 am. Heavy rainfall is occurring in the coastal districts of both states due to its impact. Schools have been closed in 10 districts of southern Odisha, and around 5,000 people have been shifted to safer locations. Traffic was disrupted after four bridges in Malkangiri were submerged, and the National Highway was also closed as a precautionary measure. Strong winds caused 10 fishing boats to sink and dozens of others to be damaged in Bhadrak.”

https://www.instagram.com/deepak_.pandey900/reel/DdrZwOaBYjd 

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Fact Check

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To verify the viral claim, we first conducted a Google Lens search using keyframes extracted from the video. X user ‘Telangana365’ shared the video on September 23, 2026, with the caption: “The ‘Arnab cyclone’ has caused massive destruction in Morampalli Banjara of Burgampadu mandal in Bhadradri Kothagudem district. The situation is such that it is difficult to understand what is happening. It is completely dark, with heavy dust and dark clouds all around. According to the victims, they witnessed a terrifying scene. Strong winds uprooted trees and blew away thatched roofs... people were even thrown some distance by the gusts of wind. Fortunately, they suffered only minor injuries.”

https://x.com/Telangana365/status/2102743504715907406?s=20  

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The video was also posted on the YouTube channel ‘TV2_NEWS’ on September 23, 2026, identifying it as footage from Burgampadu mandal in Telangana.

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A report published on the website of Telangana-based news portal ‘Big TV’ on September 24, 2026, used a keyframe from the video. According to the report, “Cyclone Arnab, which formed over the Bay of Bengal, has caused widespread destruction. Its impact has been felt not only in Odisha and Andhra Pradesh but also significantly in Telangana. The cyclone caused destruction in Bhadradri Kothagudem district soon after crossing the coast. It suddenly wreaked havoc in Morampalli Banjara of Burgampadu mandal. Heavy rainfall and strong winds engulfed the area. Several people were injured during the incident.”

https://www.bigtvlive.com/telangana/powerful-storm-wreaked-havoc-in-burgampadu-of-bhadradri-kothagudem-in-telangana-trees-roof-sheets-were-blown-away.html#goog_rewarded 

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According to information shared by the India Meteorological Department (IMD) on its X handle at around 9 am on September 25, 2026, “The Deep Depression over south Odisha and adjoining south Chhattisgarh moved north-northwestwards at a speed of 15 kmph during the past six hours. It weakened into a Depression and lay centred at 5:30 am on September 25, 2026, over interior south Odisha and adjoining Chhattisgarh. It is very likely to continue moving north-northwestwards and maintain its intensity as a Depression for the next 12 hours. Thereafter, it is expected to weaken into a Well-Marked Low Pressure Area during the subsequent 12 hours.”

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Conclusion:

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The Deep Depression that formed over the Bay of Bengal caused heavy rainfall in Andhra Pradesh, Telangana and Odisha. However, the viral video showing the destruction caused by the storm is actually from Telangana.

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Introduction:

CDR is a term that refers to Call detail records, The Telecom Industries holds the call details data of the users. As it amounts to a large amount of data, the telecom companies retain the data for a period of 6 months. CDR plays a significant role in investigations and cases in the courts. It can be used as pivotal evidence in court proceedings to prove or disprove certain facts & circumstances. Power of Interception of Call detail records is allowed for reasonable grounds and only by the authorized authority as per the laws. 

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Admissibility of CDR’s in Courts:

Call Details Records (CDRs) can be used as effective pieces of evidence to assist the court in ascertaining the facts of the particular case and inquiring about the commission of an offence, and according to the judicial pronouncements, it is made clear that CDRs can be used supporting or secondary evidence in the court. However, it cannot be the sole basis of the conviction. Section 92 of the Criminal Procedure Code 1973 provides procedure and empowers certain authorities to apply for court or competent authority intervention to seek the CDR. 

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Legal provisions to obtain CDR:

The CDR can be obtained under the statutory provisions of law contained in section 92 Criminal Procedure Code, 1973. Or under section 5(2) of Indian Telegraph Act 1885, read with rule 419(A) Indian Telegraph Amendment rule 2007. The guidelines were also issued in 2016 by Ministry of Ministry of Home Affairs for seeking Call details records (CDRs)

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How long is CDR stored with telecom Companies (Data Retention)

Call Data is retained by telecom companies for a period of 6 months. As the data amounts to high storage, almost several Petabytes per year, telecom companies store the call details data for a period of 6 months and archive the rest of it to tapes. 

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New Delhi 25Cr jewellery heist 

Recently, an incident took place where a 25-crore jewellery theft was carried out in a jewellery shop in Delhi, It was planned and executed by a man from Chhattisgarh. After committing the crime, the criminal went back to Chhattisgarh. It was a case of a 25Cr heist, and the police started their search & investigation. Police used technology and analysed the mobile numbers which were active at the crime scene. Delhi police used advanced software to analyse data. The police were able to trace the mobile number of thieves or suspects active at the crime scene. They discovered suspected contacts who were active within the range of the crime scene, and it helped in the arrest of the main suspects.  From around 5,000 mobile numbers active around the crime scene, police have used advanced software that analyses huge data, and then police found a number registered outside of Delhi.  The surveillance on the number has revealed that the suspected criminal has moved to the MP from Delhi, then moved further to Bhilai Chattisgarh. Police have successfully arrested the suspected criminal. This incident highlights how technology or call data can assist law enforcement agencies in investigating and finding the real culprits.

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Conclusion: 

CDR refers to call detail records retained by telecom companies for a period of 6 months, it can be obtained through lawful procedure and by competent authorities only. CDR can be helpful in cases before the court or law enforcement agencies, to assist the court and law enforcement agencies in ascertaining the facts of the case or to prove or disprove certain things. It is important to reiterated that unauthorized seeking of CDR is not allowed; the intervention of the court or competent authority is required to seek the CDR from the telecom companies. CDRs cannot be unauthorizedly obtained, and there has to be a directive from the court or competent authority to do so.

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References:

• https://indianlegalsystem.org/cdr-the-wonder-word/#:~:text=CDR%20is%20admissible%20as%20secondary,the%20Indian%20Evidence%20Act%2C%201872.
• https://timesofindia.indiatimes.com/city/delhi/needle-in-a-haystack-how-cops-scanned-5k-mobile-numbers-to-crack-rs-25cr-heist/articleshow/104055687.cms?from=mdr
• https://www.ndtv.com/delhi-news/just-one-man-planned-executed-rs-25-crore-delhi-heist-another-thief-did-him-in-4436494

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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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