#FactCheck - Deepfake Video Falsely Claims visuals of a massive rally held in Manipur

Introduction

Twitter is a popular social media plate form with millions of users all around the world. Twitter’s blue tick system, which verifies the identity of high-profile accounts, has been under intense scrutiny in recent years. The platform must face backlash from its users and brands who have accused it of basis, inaccuracy, and inconsistency in its verification process. This blog post will explore the questions raised on the verification process and its impact on users and big brands.

What is Twitter’s blue trick System?

The blue tick system was introduced in 2009 to help users identify the authenticity of well-known public figures, Politicians, celebrities, sportspeople, and big brands. The Twitter blue Tick system verifies the identity of high-profile accounts to display a blue badge next to your username.

According to a survey, roughly there are 294,000 verified Twitter Accounts which means they have a blue tick badge with them and have also paid the subscription for the service, which is nearly $7.99 monthly, so think about those subscribers who have paid the amount and have also lost their blue badge won’t they feel cheated?

The Controversy

Despite its initial aim, the blue tick system has received much criticism from consumers and brands. Twitter’s irregular and non-transparent verification procedure has sparked accusations of prejudice and inaccuracy. Many Twitter users have complained that the network’s verification process is random and favours account with huge followings or celebrity status. In contrast, others have criticised the platform for certifying accounts that promote harmful or controversial content.

Furthermore, the verification mechanism has generated user confusion, as many need to understand the significance of the blue tick badge. Some users have concluded that the blue tick symbol represents a Twitter endorsement or that the account is trustworthy. This confusion has resulted in users following and engaging with verified accounts that promote misleading or inaccurate data, undermining the platform’s credibility.

How did the Blue Tick Row start in India?

On 21 May 2021, when the government asked Twitter to remove the blue badge from several profiles of high-profile Indian politicians, including the Indian National Congress Party Vice-President Mr Rahul Ghandhi.

The blue badge gives the users an authenticated identity. Many celebrities, including Amitabh Bachchan, popularly known as Big B, Vir Das, Prakash Raj, Virat Kohli, and Rohit Sharma, have lost their blue tick despite being verified handles.

What is the Twitter policy on blue tick?

To Twitter’s policy, blue verification badges may be removed from accounts if the account holder violates the company’s verification policy or terms of service. In such circumstances, Twitter typically notifies the account holder of the removal of the verification badge and the reason for the removal. In the instance of the “Twitter blue badge row” in India, however, it appears that Twitter did not notify the impacted politicians or their representatives before revoking their verification badges. Twitter’s lack of communication has exacerbated the controversy around the episode, with some critics accusing the company of acting arbitrarily and not following due process.

Is there a solution?

The “Twitter blue badge row” has no simple answer since it involves a complex convergence of concerns about free expression, social media policies, and government laws. However, here are some alternatives:

• Establish clear guidelines: Twitter should develop and constantly implement clear guidelines and policies for the verification process. All users, including politicians and government officials, would benefit from greater transparency and clarity.
• Increase transparency: Twitter’s decision-making process for deleting or restoring verification badges should be more open. This could include providing explicit reasons for badge removal, notifying impacted users promptly, and offering an appeals mechanism for those who believe their credentials were removed unfairly.
• Engage in constructive dialogue: Twitter should engage in constructive dialogue with government authorities and other stakeholders to address concerns about the platform’s content moderation procedures. This could contribute to a more collaborative approach to managing online content, leading to more effective and accepted policies.
• Follow local rules and regulations: Twitter should collaborate with the Indian government to ensure it conforms to local laws and regulations while maintaining freedom of expression. This could involve adopting more precise standards for handling requests for material removal or other actions from governments and other organisations.

Conclusion

To sum up, the “Twitter blue tick row” in India has highlighted the complex challenges that Social media faces daily in handling the conflicting interests of free expression, government rules, and their own content moderation procedures. While Twitter’s decision to withdraw the blue verification badges of several prominent Indian politicians garnered anger from the government and some public members, it also raised questions about the transparency and uniformity of Twitter’s verification procedure. In order to deal with this issue, Twitter must establish clear verification procedures and norms, promote transparency in its decision-making process, participate in constructive communication with stakeholders, and adhere to local laws and regulations. Furthermore, the Indian government should collaborate with social media platforms to create more effective and acceptable laws that balance the necessity for free expression and the protection of citizens’ rights. The “Twitter blue tick row” is just one example of the complex challenges that social media platforms face in managing online content, and it emphasises the need for greater collaboration among platforms, governments, and civil society organisations to develop effective solutions that protect both free expression and citizens’ rights.

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

Introduction

National AVGC-XR stands for National Animation, Visual Effects, Gaming, Comics, and Extended Reality. On 21 Aug 2024 Shri Sanjay Jaju, Secretary, Ministry of Information and Broadcasting, Speaking at the 5th Global AVGC and Immersive Media Summit 2024,  announced that the National AVGC-XR Policy will be implemented soon. National AVGC-XR policy aims to facilitate investment, foster innovation, ensure skill development, protect intellectual property and help build world-class infrastructure. Additionally, Atul Kumar Tiwari, Secretary of Ministry of Skills and Entrepreneurship, said that the Centre's decision to revamp 1,000 ITIs is pivotal in aligning workforce skills with AVGC industry needs. He called for enhanced intellectual property rights to retain talent and content in India.

Key Highlights of National AVGC-XR Policy 

• The policy will be implemented in conjunction with the National AVGC-XR Mission to improve India's AVGC sectors through infrastructure development, skill enhancement, innovation, and regulatory support.
• The policy aims to improve India's international competitiveness in the AVGC industry, specifically by supporting the creation of unique intellectual properties (IPs) that can gain worldwide acclaim.
• The policy acknowledges the significance of adapting and converting content for various international viewers, which has become easier considering technological advancements.
• The government is dedicated to providing strong policies and financial backing to the AVGC industry, ensuring that India continues to be a worldwide leader in the sector.

Tech-driven trends in the AVGC-XR Sector promoting exponential growth

• Advancements in technology specifically when we talk about the Animation and VFX industry, emerging trends such as AR, VR, and real-time 3D technology, are driving the expansion of the metaverse, resulting in a rising need for fresh jobs and broadening uses beyond gaming into education, e-commerce, and entertainment. Moreover, the transition to cloud-oriented production processes and the increase in unique or original content on OTT platforms are improving cooperation and propelling industry growth. To drive expansion, global OTT leaders are commissioning more original content. This has increased the need for VFX, post-production, and animation services.
• Technological advancements in India's gaming industry, like cloud gaming, increased popularity of mobile gaming, the introduction of 5G and 6G, and recognition of e-gaming at national and international forums, are breaking down obstacles and fueling swift growth, positioning India as a key player in growing e-gaming sector worldwide. Furthermore, the integration of gamification and XR in education and training is generating immersive experiences that improve learning and skill building, contributing to the expansion of the AVGC-XR industry.
• The comics industry is being transformed by technological advancements like digital technology and self-publishing, which are increasing access and distribution through online platforms and social media. The rising popularity of graphic novels and the greater use of digital comics, particularly among young audiences with smartphones, are fueling substantial growth in the AVGC-XR industry.
• The use of AR, VR, and MR (Mixed Reality) technologies is rapidly growing due to tech-driven trends in Extended Reality (XR), transforming industries such as healthcare, education, and retail. The rising number of startups in this sector, boosted by higher venture capital funding, is speeding up the uptake of XR services, establishing it as a primary catalyst of innovation and expansion in various industries.

Final Words:

Just like the IT revolution, the Indian AVGC-XR industry along with technological trends and advancements has great potential. With the growth in various sectors within the AVGC industry, the right policy framework in place and government support, it will be forefront of India’s global standing in the AVGC sectoral growth including various Intellectual Property (IP), creations, and outsourcing services. The proposed AVGC-XR policy with a forward-thinking approach will drive the industry growth. Thus, a comprehensive integrated and collaborative approach is essential. Furthermore with rising trends in technological space including the use of AR, VR, cloud spaces, 6G and expansion of the OTT sector, the safe and secure use in terms of cybersecurity is encouraged to ultimately protect the interest of users and establish a safe secure cyber world driven by exponential growth in various sectors including AVGC. We’re at the cusp of a new era, where we’re looking at technological advancements not as a tool but as a way of life, hence safe and secure usage remains a top priority.

References: 

1. https://www.cii.in/PressreleasesDetail.aspx?enc=IkIXRoaDhS+jXtgjqb7UcbWSnaI7mgIS485nHsQEMbw
2. https://www.thehindu.com/sci-tech/technology/avgc-xr-policy-to-be-implemented-in-tandem-with-national-avgc-xr-mission-ib-secretary/article68550433.ece#:~:text=Speaking%20at%20the%20Fifth%20Global,competitiveness%20by%20fostering%20infrastructure%20development%2C
3. https://mib.gov.in/sites/default/files/Annexure%20C-AVGC-XR%20-%20Draft%20for%20National%20Policy_16th%20December%202022-AG%20EDIT.pdf
4. https://www.drishtiias.com/daily-updates/daily-news-analysis/potential-of-india-s-avgc-xr-sector

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