#FactCheck - False Claim of Italian PM Congratulating on Ram Temple, Reveals Birthday Thanks

Introduction

The fast-paced development of technology and the wider use of social media platforms have led to the rapid dissemination of misinformation with characteristics such as diffusion, fast propagation speed, wide influence, and deep impact through these platforms. Social Media Algorithms and their decisions are often perceived as a black box introduction that makes it impossible for users to understand and recognise how the decision-making process works. 

Social media algorithms may unintentionally promote false narratives that garner more interactions, further reinforcing the misinformation cycle and making it harder to control its spread within vast, interconnected networks. Algorithms judge the content based on the metrics, which is user engagement. It is the prerequisite for algorithms to serve you the best. Hence, algorithms or search engines enlist relevant items you are more likely to enjoy. This process, initially, was created to cut the clutter and provide you with the best information. However, sometimes it results in unknowingly widespread misinformation due to the viral nature of information and user interactions. 

Analysing the Algorithmic Architecture of Misinformation

Social media algorithms, designed to maximize user engagement, can inadvertently promote misinformation due to their tendency to trigger strong emotions, creating echo chambers and filter bubbles. These algorithms prioritize content based on user behaviour, leading to the promotion of emotionally charged misinformation. Additionally, the algorithms prioritize content that has the potential to go viral, which can lead to the spread of false or misleading content faster than corrections or factual content.

Additionally, popular content is amplified by platforms, which spreads it faster by presenting it to more users. Limited fact-checking efforts are particularly difficult since, by the time they are reported or corrected, erroneous claims may have gained widespread acceptance due to delayed responses. Social media algorithms find it difficult to distinguish between real people and organized networks of troll farms or bots that propagate false information. This creates a vicious loop where users are constantly exposed to inaccurate or misleading material, which strengthens their convictions and disseminates erroneous information through networks.

Though algorithms, primarily, aim to enhance user engagement by curating content that aligns with the user's previous behaviour and preferences. Sometimes this process leads to "echo chambers," where individuals are exposed mainly to information that reaffirms their beliefs which existed prior, effectively silencing dissenting voices and opposing viewpoints. This curated experience reduces exposure to diverse opinions and amplifies biased and polarising content, making it arduous for users to discern credible information from misinformation. Algorithms feed into a feedback loop that continuously gathers data from users' activities across digital platforms, including websites, social media, and apps. This data is analysed to optimise user experiences, making platforms more attractive. While this process drives innovation and improves user satisfaction from a business standpoint, it also poses a danger in the context of misinformation. The repetitive reinforcement of user preferences leads to the entrenchment of false beliefs, as users are less likely to encounter fact-checks or corrective information.

Moreover, social networks and their sheer size and complexity today exacerbate the issue. With billions of users participating in online spaces, misinformation spreads rapidly, and attempting to contain it—such as by inspecting messages or URLs for false information—can be computationally challenging and inefficient. The extensive amount of content that is shared daily means that misinformation can be propagated far quicker than it can get fact-checked or debunked.

Understanding how algorithms influence user behaviour is important to tackling misinformation. The personalisation of content, feedback loops, the complexity of network structures, and the role of superspreaders all work together to create a challenging environment where misinformation thrives. Hence, highlighting the importance of countering misinformation through robust measures. 

The Role of Regulations in Curbing Algorithmic Misinformation

The EU's Digital Services Act (DSA) applicable in the EU is one of the regulations that aims to increase the responsibilities of tech companies and ensure that their algorithms do not promote harmful content. These regulatory frameworks play an important role they can be used to establish mechanisms for users to appeal against the algorithmic decisions and ensure that these systems do not disproportionately suppress legitimate voices. Independent oversight and periodic audits can ensure that algorithms are not biased or used maliciously. Self-regulation and Platform regulation are the first steps that can be taken to regulate misinformation. By fostering a more transparent and accountable ecosystem, regulations help mitigate the negative effects of algorithmic misinformation, thereby protecting the integrity of information that is shared online. In the Indian context, the Intermediary Guidelines, 2023, Rule 3(1)(b)(v) explicitly prohibits the dissemination of misinformation on digital platforms. The ‘Intermediaries’ are obliged to ensure reasonable efforts to prevent users from hosting, displaying, uploading, modifying, publishing, transmitting, storing, updating, or sharing any information related to the 11 listed user harms or prohibited content. This rule aims to ensure platforms identify and swiftly remove misinformation, and false or misleading content.

Cyberpeace Outlook

Understanding how algorithms prioritise content will enable users to critically evaluate the information they encounter and recognise potential biases. Such cognitive defenses can empower individuals to question the sources of the information and report misleading content effectively. In the future of algorithms in information moderation, platforms should evolve toward more transparent, user-driven systems where algorithms are optimised not just for engagement but for accuracy and fairness. Incorporating advanced AI moderation tools, coupled with human oversight can improve the detection and reduction of harmful and misleading content. Collaboration between regulatory bodies, tech companies, and users will help shape the algorithms landscape to promote a healthier, more informed digital environment.

References:

• https://www.advancedsciencenews.com/misformation-spreads-like-a-nuclear-reaction-on-the-internet/
• https://www.niemanlab.org/2024/09/want-to-fight-misinformation-teach-people-how-algorithms-work/ 
• Press Release: Press Information Bureau (pib.gov.in) 

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Introduction

AI has transformed the way we look at advanced technologies. As the use of AI is evolving, it also raises a concern about AI-based deepfake scams. Where scammers use AI technologies to create deep fake videos, images and audio to deceive people and commit AI-based crimes. Recently a Kerala man fall victim to such a scam. He received a WhatsApp video call, the scammer impersonated the face of the victim’s known friend using AI-based deep fake technology. There is a need for awareness and vigilance to safeguard ourselves from such incidents.

Unveiling the Kerala deep fake video call Scam

The man in Kerala received a WhatsApp video call from a person claiming to be his former colleague in Andhra Pradesh. In actuality, he was the scammer. He asked for help of 40,000 rupees from the Kerala man via google pay. Scammer to gain the trust even mentioned some common friends with the victim. The scammer said that he is at the Dubai airport and urgently need the money for the medical emergency of his sister.

As AI is capable of analysing and processing data such as facial images, videos, and audio creating a realistic deep fake of the same which closely resembles as real one. In the Kerala Deepfake video call scam the scammer made a video call that featured a convincingly similar facial appearance and voice as same to the victim’s colleague which the scammer was impersonating. The Kerala man believing that he was genuinely communicating with his colleague, transferred the money without hesitation. The Kerala man then called his former colleague on the number he had saved earlier in his contact list, and his former colleague said that he has not called him.  Kerala man realised that he had been cheated by a scammer, who has used AI-based deep-fake technology to impersonate his former colleague.

Recognising Deepfake Red Flags

Deepfake-based scams are on the rise, as they pose challenges that really make it difficult to distinguish between genuine and fabricated audio, videos and images. Deepfake technology is capable of creating entirely fictional photos and videos from scratch. In fact, audio can be deepfaked too, to create “voice clones” of anyone.

However, there are some red flags which can indicate the authenticity of the content:

• Video quality- Deepfake videos often have compromised or poor video quality, and unusual blur resolution, which might pose a question to its genuineness.
• Looping videos: Deepfake videos often loop or unusually freeze or where the footage repeats itself, indicating that the video content might be fabricated.
• Verify Separately: Whenever you receive requests for such as financial help, verify the situation by directly contacting the person through a separate channel such as a phone call on his primary contact number.
• Be vigilant: Scammers often possess a sense of urgency leading to giving no time to the victim to think upon it and deceiving them by making a quick decision. So be vigilant and cautious when receiving and entertaining such a sudden emergency which demands financial support from you on an urgent basis.
• Report suspicious activity: If you encounter such activities on your social media accounts or through such calls report it to the platform or to the relevant authority.

Conclusion

The advanced nature of AI deepfake technology has introduced challenges in combatting such AI-based cyber crimes. The Kerala man’s case of falling victim to an AI-based deepfake video call and losing Rs 40,000 serves as an alarming need to remain extra vigilant and cautious in the digital age. So in the reported incident where Kerala man received a call from a person appearing as his former colleague but in actuality, he was a scammer and tricking the victim by using AI-based deepfake technology. By being aware of such types of rising scams and following precautionary measures we can protect ourselves from falling victim to such AI-based cyber crimes. And stay protected from such malicious scammers who exploit these technologies for their financial gain. Stay cautious and safe in the ever-evolving digital landscape.

Introduction

The nation got its first consolidated data protection regulation in the form of the Digital Personal Data Protection Act, 2023, in the month of August, and the Indian netizens got their independence in terms of data protection and privacy. The act lays heavy penalties for non-compliance with the provisions, and the same is under the jurisdiction of a Data Protection Board set up by the Central Government, which enjoys powers equivalent to a civil court. The act upholds the right to data privacy as the fundamental right under Article 19 (1)(A) and 21 of the Constitution of India. The same has been judicially supported in the form of the landmark judgement,  Jus. K.S Puttawamy vs. Union of India of 2018. Let us take a look at the impact the act will make on the Indian netizens. 

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What is Personal Data? 

Personal Data refers to any form of digitised data which can be directly replicated by any person. This includes email IDs, mobile numbers, health data, banking data, photos, etc. A person to whom the personal data belongs is called the Data Principle. A Data principle is anyone who is above the age of 18 years and consents to the data of children/minors. In the case of children/minors, it is mandatory for the parents or guardians to provide their express consent for the processing of personal data for all or any purposes. Any individual who is processing personal data is known as the Data Fiduciry, and individuals registered under the act may act as consent managers to make the consent transparent.  When it comes to the rights of the netizens, it is seen that the act is created with an aspect of  “Safety by Design” to secure the rights and responsibilities of the netizens. 

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Rights secured under the DPDP Act 2023

• Right to Grievance Redressal: The Data fiduciary and the consent manager are required to respond to the grievances of the Data Principal within a time period, which is soon to be prescribed, thus creating a blanket of responsibility for the data fiduciary and consent manager. 
• Right to Nominate: Data Principals have the right to nominate any other individual who shall, in the event of death or incapacity of the data principal, exercise his/her rights.  
• Right to access to information: The Data principal has the right to seek confirmation from Data fiduciaries regarding the processing of their personal data and the summary of the processed data as well. 
• Right to Erasure and Correction: Data principals can reach out to the data fiduciaries in order to exercise their right to correct, complete, update and erasure of their personal data.  
• Territorial Rights: The data is to be processed within India, and processing outside India should be in regard to the services provided in India. 
• Material Rights: The rights are applicable to any personal data collected in digitised form and also for the data collected in a non-digital form but subsequently digitised. 

Obligations for Data Fiduciaries 

The data fiduciaries are mandated to oblige with the following provisions in order to maintain compliance with the laws of the land and by securing the Digital rights of the netizens. 

These are the obligations of the data fiduciaries: 

• Implement technical and organisational measures to safeguard Personal Data. 
• Determine the legal grounds for processing and obtaining consent from Data principals where required. 
• Provide a privacy notice while obtaining consent from Data principals. 
• Implement a mechanism for data principals to exercise their rights.
• Implement a grievance redressal mechanism for handling the queries from Data principals. 
• Irrecoverably delete personal data after the purpose for which it was collected has expired or when the consent has been withdrawn. 
• Have a breach management policy to notify the data protection board and the data principals in accordance with prescribed timelines. 
• Sign a valid contract with Data processors to ensure key obligations are abided by them, including timely deletion of data. 

Conclusion 

As the world steps into the digital age, it is pertinent for the governments of the world to come up with efficient and effective legislation to protect cyber rights and responsibilities, but as cyberspace has no boundaries, nations need to work in synergy to protect their cyber interests and netizens. This can only begin once all nations have indigenous Cyber laws and rights to protect netizens, and the same has been addressed by the Indian Government in the form of the Digital Perosnl Data Protection Act, 2023. The future is full of emerging technologies and the evolution of cyber laws; hence, consolidating a basic legal structure now is of utmost importance and the same is expected to be strengthened in India by the soon-to-be-released Draft Digital India Bill.  

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