#FactCheck: Viral Video Showing Pakistan Shot Down Indian Air Force' MiG-29 Fighter Jet

Introduction

Misinformation in India has emerged as a significant societal challenge, wielding a potent influence on public perception, political discourse, and social dynamics. A potential number of first-time voters across India identified fake news as a real problem in the nation. With the widespread adoption of digital platforms, false narratives, manipulated content, and fake news have found fertile ground to spread unchecked information and news.

In the backdrop of India being the largest market of WhatsApp users, who forward more content on chats than anywhere else, the practice of fact-checking forwarded information continues to remain low. The heavy reliance on print media, television, unreliable news channels and primarily, social media platforms acts as a catalyst since studies reveal that most Indians trust any content forwarded by family and friends. It is noted that out of all risks, misinformation and disinformation ranked the highest in India, coming before infectious diseases, illicit economic activity, inequality and labour shortages. World Economic Forum analysts, in connection with their 2024 Global Risk Report, note that “misinformation and disinformation in electoral processes could seriously destabilise the real and perceived legitimacy of newly elected governments, risking political unrest, violence and terrorism and long-term erosion of democratic processes.”

The Supreme Court of India on Misinformation

The Supreme Court of India, through various judgements, has noted the impact of misinformation on democratic processes within the country, especially during elections and voting. In 1995, while adjudicating a matter pertaining to keeping the broadcasting media under the control of the public, it noted that democracy becomes a farce when the medium of information is monopolized either by partisan central authority or by private individuals or oligarchic organizations. 

In 2003, the Court stated that “Right to participate by casting a vote at the time of election would be meaningless unless the voters are well informed about all sides of the issue in respect of which they are called upon to express their views by casting their votes. Disinformation, misinformation, non-information all equally create an uninformed citizenry which would finally make democracy a mobocracy and a farce.” It noted that elections would be a useless procedure if voters remained unaware of the antecedents of the candidates contesting elections. Thus, a necessary aspect of a voter’s duty to cast intelligent and rational votes is being well-informed. Such information forms one facet of the fundamental right under Article 19 (1)(a) pertaining to freedom of speech and expression. Quoting James Madison, it stated that a citizen’s right to know the true facts about their country’s administration is one of the pillars of a democratic State.

On a similar note, the Supreme Court, while discussing the disclosure of information by an election candidate, gave weightage to the High Court of Bombay‘s opinion on the matter, which opined that non-disclosure of information resulted in misinformation and disinformation, thereby influencing voters to take uninformed decisions. It stated that a voter had the elementary right to know the full particulars of a candidate who is to represent him in Parliament/Assemblies.

While misinformation was discussed primarily in relation to elections, the effects of misinformation in other sectors have also been discussed from time to time. In particular, The court highlighted the World Health Organisation’s observation in 2021 while discussing the spread of COVID-19, noting that the pandemic was not only an epidemic but also an “infodemic” due to the overabundance of information on the internet, which was riddled with misinformation and disinformation. While condemning governments’ direct or indirect threats of prosecution to citizens, it noted that various citizens who relied on the internet to provide help in securing medical facilities and oxygen tanks were being targeted by alleging that the information posted by them was false and was posted to create panic, defame the administration or damage national image. It instructed authorities to cease such threats and prevent clampdown on information sharing.

More recently, in Facebook v. Delhi Legislative Assembly [(2022) 3 SCC 529], the apex court, while upholding the summons issued to Facebook by the Delhi Legislative Assembly in the aftermath of the 2020 Delhi Riots, noted that while social media enables equal and open dialogue between citizens and policymakers, it is also a tool in the where extremist views are peddled into mainstream media, thereby spreading misinformation. It noted Facebook’s role in the Mynmar, where misinformation and posts that Facebook employees missed fueled offline violence. Since Facebook is one of the most popular social media applications, the platform itself acts as a power center by hosting various opinions and voices on its forum. This directly impacts the governance of States, and some form of liability must be attached to the platform. The Supreme Court objected to Facebook taking contrary stands in various jurisdictions; while in the US, it projected itself as a publisher, which enabled it to maintain control over the material disseminated from its platform, while in India, “it has chosen to identify itself purely as a social media platform, despite its similar functions and services in the two countries.”

Conclusion

The pervasive issue of misinformation in India is a multifaceted challenge with profound implications for democratic processes, public awareness, and social harmony. The alarming statistics of fake news recognition among first-time voters, coupled with a lack of awareness regarding fact-checking organizations, underscore the urgency of addressing this issue. The Supreme Court of India has consistently recognized the detrimental impact of misinformation, particularly in elections. The judiciary has stressed the pivotal role of an informed citizenry in upholding the essence of democracy. It has emphasized the right to access accurate information as a fundamental aspect of freedom of speech and expression. As India grapples with the challenges of misinformation, the intersection of technology, media literacy and legal frameworks will be crucial in mitigating the adverse effects and fostering a more resilient and informed society.

References

• https://thewire.in/media/survey-finds-false-information-risk-highest-in-india 
• https://www.statista.com/topics/5846/fake-news-in-india/#topicOverview
• https://www.weforum.org/publications/global-risks-report-2024/digest/  
• https://main.sci.gov.in/supremecourt/2020/20428/20428_2020_37_1501_28386_Judgement_08-Jul-2021.pdf
• Secretary, Ministry of Information & Broadcasting, Govt, of India and Others v. Cricket Association of Bengal and Another [(1995) 2 SCC 161]
• People’s Union for Civil Liberties (PUCL) v. Union of India [(2003) 4 SCC 399]
• Kisan Shankar Kathore v. Arun Dattatray Sawant and Others [(2014) 14 SCC 162]
• Distribution of Essential Supplies & Services During Pandemic, In re [(2021) 18 SCC 201]
• Facebook v. Delhi Legislative Assembly [(2022) 3 SCC 529]

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Executive Summary:

Viral pictures featuring US Secret Service agents smiling while protecting former President Donald Trump during a planned attempt to kill him in Pittsburgh have been clarified as photoshopped pictures. The pictures making the rounds on social media were produced by AI-manipulated tools. The original image shows no smiling agents found on several websites. The event happened with Thomas Mathew Crooks firing bullets at Trump at an event in Butler, PA on July 13, 2024. During the incident one was deceased and two were critically injured. The Secret Service stopped the shooter, and circulating photos in which smiles were faked have stirred up suspicion. The verification of the face-manipulated image was debunked by the CyberPeace Research Team.

Claims:

Viral photos allegedly show United States Secret Service agents smiling while rushing to protect former President Donald Trump during an attempted assassination in Pittsburgh, Pennsylvania.

Fact Check:

Upon receiving the posts, we searched for any credible source that supports the claim made, we found several articles and images of the incident but in those the images were different. 

This image was published by CNN news media, in this image we can see the US Secret Service protecting Donald Trump but not smiling. We then checked for AI Manipulation in the image using the AI Image Detection tool, True Media.

We then checked with another AI Image detection tool named, contentatscale AI image detection, which also found it to be AI Manipulated.

Comparison of both photos:

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Hence, upon lack of credible sources and detection of AI Manipulation concluded that the image is fake and misleading.

Conclusion:

The viral photos claiming to show Secret Service agents smiling when protecting former President Donald Trump during an assassination attempt have been proven to be digitally manipulated. The original image found on CNN Media shows no agents smiling. The spread of these altered photos resulted in misinformation. The CyberPeace Research Team's investigation and comparison of the original and manipulated images confirm that the viral claims are false.

• Claim: Viral photos allegedly show United States Secret Service agents smiling while rushing to protect former President Donald Trump during an attempted assassination in Pittsburgh, Pennsylvania.
• Claimed on: X, Thread
• Fact Check: Fake & Misleading

Introduction

Advanced deepfake technology blurs the line between authentic and fake. To ascertain the credibility of the content it has become important to differentiate between genuine and manipulated or curated online content highly shared on social media platforms. AI-generated fake voice clone, videos are proliferating on the Internet and social media. There is the use of sophisticated AI algorithms that help manipulate or generate synthetic multimedia content such as audio, video and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake multimedia content. McAfee Corp., a well-known or popular global leader in online protection, has recently launched an AI-powered deepfake audio detection technology under Project “Mockingbird” intending to safeguard consumers against the surging threat of fabricated or AI-generated audio or voice clones to dupe people for money or unauthorisly obtaining their personal information. McAfee Corp. announced its AI-powered deepfake audio detection technology, known as Project Mockingbird, at the Consumer Electronics Show, 2024.

What is voice cloning?

To create a voice clone of anyone's, audio can be deeplyfaked, too, which closely resembles a real voice but, in actuality, is a fake voice created through deepfake technology. 

Emerging Threats: Cybercriminal Exploitation of Artificial Intelligence in Identity Fraud, Voice Cloning, and Hacking Acceleration

AI is used for all kinds of things from smart tech to robotics and gaming. Cybercriminals are misusing artificial intelligence for rather nefarious reasons including voice cloning to commit cyber fraud activities. Artificial intelligence can be used to manipulate the lips of an individual so it looks like they're saying something different, it could also be used for identity fraud to make it possible to impersonate someone for a remote verification for your bank and it also makes traditional hacking more convenient. Cybercriminals have been misusing advanced technologies such as artificial intelligence, which has led to an increase in the speed and volume of cyber attacks, and that's been the theme in recent times.

Technical Analysis

To combat Audio cloning fraudulent activities, McAfee Labs has developed a robust AI model that precisely detects artificially generated audio used in videos or otherwise.

• Context-Based Recognition: Contextual assessment is used by technological devices to examine audio components in the overall setting of an audio. It improves the model's capacity to recognise discrepancies suggestive of artificial intelligence-generated audio by evaluating its surroundings information.
• Conductual Examination: Psychological detection techniques examine linguistic habits and subtleties, concentrating on departures from typical individual behaviour. Examining speech patterns, tempo, and pronunciation enables the model to identify artificially or synthetically produced material.
• Classification Models: Auditory components are categorised by categorisation algorithms for detection according to established traits of human communication. The technology differentiates between real and artificial intelligence-synthesized voices by comparing them against an extensive library of legitimate human speech features.
• Accuracy Outcomes: McAfee Labs' deepfake voice recognition solution, which boasts an impressive ninety per cent success rate, is based on a combined approach incorporating psychological, context-specific, and categorised identification models. Through examining audio components in the larger video context and examining speech characteristics, such as intonation, rhythm, and pronunciation, the system can identify discrepancies that could be signs of artificial intelligence-produced audio. Categorical models make an additional contribution by classifying audio information according to characteristics of known human speech. This all-encompassing strategy is essential for precisely recognising and reducing the risks connected to AI-generated audio data, offering a strong barrier against the growing danger of deepfake situations.
• Application Instances: The technique protects against various harmful programs, such as celebrity voice-cloning fraud and misleading content about important subjects.

Conclusion

It is important to foster ethical and responsible consumption of technology. Awareness of common uses of artificial intelligence is a first step toward broader public engagement with debates about the appropriate role and boundaries for AI. Project Mockingbird by Macafee employs AI-driven deepfake audio detection to safeguard against cyber criminals who are using fabricated AI-generated audio for scams and manipulating the public image of notable figures, protecting consumers from financial and personal information risks. 

References:

• https://www.cnbctv18.com/technology/mcafee-deepfake-audio-detection-technology-against-rise-in-ai-generated-misinformation-18740471.htm
• https://www.thehindubusinessline.com/info-tech/mcafee-unveils-advanced-deepfake-audio-detection-technology/article67718951.ece
• https://lifestyle.livemint.com/smart-living/innovation/ces-2024-mcafee-ai-technology-audio-project-mockingbird-111704714835601.html
• https://news.abplive.com/fact-check/audio-deepfakes-adding-to-cacophony-of-online-misinformation-abpp-1654724