#FactCheck-PM Narendra Modi’s Viral Statement Linking His Father to Netaji Subhash Chandra Bose is Fake

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

In the labyrinthine world of cybersecurity, a new spectre has emerged from the digital ether, casting a long shadow over the seemingly impregnable orchards of Apple's macOS. This phantom, known as SpectralBlur, is a backdoor so cunningly crafted that it remained shrouded in the obscurity of cyberspace, undetected by the vigilant eyes of antivirus software until its recent unmasking. The discovery of SpectralBlur is not just a tale of technological intrigue but a narrative that weaves together the threads of geopolitical manoeuvring, the relentless pursuit of digital supremacy, and the ever-evolving landscape of cyber warfare.

SpectralBlur, a term that conjures images of ghostly interference and elusive threats, is indeed a fitting moniker for this new macOS backdoor threat. Cybersecurity researchers have peeled back the layers of the digital onion to reveal a moderately capable backdoor that can upload and download files, execute shell commands, update its configuration, delete files, and enter states of hibernation or sleep, all at the behest of a remote command-and-control server. Greg Lesnewich, a security researcher whose name has become synonymous with the relentless pursuit of digital malefactors, has shed light on this new threat that overlaps with a known malware family attributed to the enigmatic North Korean threat actors.

SpectralBlur similar to Lazarus Group’s KANDYKORN

The malware shares its DNA with KANDYKORN, also known as SockRacket, an advanced implant that functions as a remote access trojan capable of taking control of a compromised host. It is a digital puppeteer, pulling the strings of infected systems with a malevolent grace. The KANDYKORN activity also intersects with another campaign orchestrated by the Lazarus sub-group known as BlueNoroff, or TA444, which culminates in the deployment of a backdoor referred to as RustBucket and a late-stage payload dubbed ObjCShellz.

Recently, the threat actor has been observed combining disparate pieces of these two infection chains, leveraging RustBucket droppers to deliver KANDYKORN. This latest finding is another sign that North Korean threat actors are increasingly setting their sights on macOS to infiltrate high-value targets, particularly those within the cryptocurrency and blockchain industries. 'TA444 keeps running fast and furious with these new macOS malware families,' Lesnewich remarked, painting a picture of a relentless adversary in the digital realm.

Patrick Wardle, a security researcher whose insights into the inner workings of SpectralBlur have further illuminated the threat landscape, noted that the Mach-O binary was uploaded to the VirusTotal malware scanning service in August 2023 from Colombia. The functional similarities between KANDYKORN and SpectralBlur have raised the possibility that they may have been built by different developers with the same requirements. What makes the malware stand out are its attempts to hinder analysis and evade detection while using grant to set up a pseudo-terminal and execute shell commands received from the C2 server.

The disclosure comes as 21 new malware families designed to target macOS systems, including ransomware, information stealers, remote access trojans, and nation-state-backed malware, were discovered in 2023, up from 13 identified in 2022. 'With the continued growth and popularity of macOS (especially in the enterprise!), 2024 will surely bring a bevvy of new macOS malware,' Wardle noted, his words a harbinger of the digital storms on the horizon.

Hackers are beefing up their efforts to go after the best MacBooks as security researchers have discovered a brand new macOS backdoor which appears to have ties to another recently identified Mac malware strain. As reported by Security Week, this new Mac malware has been dubbed SpectralBlur and although it was uploaded to VirusTotal back in August of last year, it remained undetected by the best antivirus software until it recently caught the attention of Proofpoint’s Greg Lesnewich.

Lesnewich explained that SpectralBlur has similar capabilities to other backdoors as it can upload and download files, delete files and hibernate or sleep when given commands from a hacker-controlled command-and-control (C2) server. What is surprising about this new Mac malware strain though is that it shares similarities to the KandyKorn macOS backdoor which was created by the infamous North Korean hacking group Lazarus.

Just like SpectralBlur, KandyKorn is designed to evade detection while providing the hackers behind it with the ability to monitor and control infected Macs. Although different, these two Mac malware strains appear to be built based on the same requirements. Once installed on a vulnerable Mac, SpectralBlur executes a function that allows it to decrypt and encrypt network traffic to help it avoid being detected. However, it can also erase files after opening them and then overwrite the data they contain with zeros..

How to keep your Apple computers safe from hackers

As with the best iPhones, keeping your Mac up to date is the easiest and most important way to keep it safe from hackers. Hackers often prey on users who haven’t updated their devices to the latest software as they can exploit unpatched vulnerabilities and security flaws.

Checking to see if you're running the latest macOS version is quite easy. Just click on the Apple Logo in the top right corner of your computer, head to System Preferences and then click on Software Update. If you need a bit more help, check out our guide on how to update a Mac for more detailed instructions with pictures.

Even though your Mac has its own built-in malware scanner from Apple called xProtect, you should consider using one of the best Mac antivirus software solutions for additional protection. Paid antivirus software is often updated more frequently and you often also get access to other extras to help keep you safe online like a password manager or a VPN.

Besides updating your Mac frequently and using antivirus software, you must be careful online. This means sticking to trusted online retailers, carefully checking the URLs of the websites you visit and avoiding opening links and attachments sent to you via email or social media from people you don’t know. Likewise, you should also learn how to spot a phishing scam to know which emails you want to delete right away.

Conclusion 

The thing about hackers and other cybercriminals is that they are constantly evolving their tactics and attack methods. This helps them avoid detection and allows them to devise brand-new ways to trick ordinary people. With the surge we saw in Mac malware last year, though, Apple will likely be working on beefing up xProtect and macOS to better defend against these new threats.

References 

• https://www.scmagazine.com/news/new-macos-malware-spectralblur-idd-as-north-korean-backdoor
• https://www.tomsguide.com/news/this-new-macos-backdoor-lets-hackers-take-over-your-mac-remotely-how-to-stay-safe
• https://thehackernews.com/2024/01/spectralblur-new-macos-backdoor-threat.html

Introduction

In the era of digitalisation, social media has become an essential part of our lives, with people spending a lot of time updating every moment of their lives on these platforms. Social media networks such as WhatsApp, Facebook, and YouTube have emerged as significant sources of Information. However, the proliferation of misinformation is alarming since misinformation can have grave consequences for individuals, organisations, and society as a whole. Misinformation can spread rapidly via social media, leaving a higher impact on larger audiences. Bad actors can exploit algorithms for their benefit or some other agenda, using tactics such as clickbait headlines, emotionally charged language, and manipulated algorithms to increase false information.

Impact 

The impact of misinformation on our lives is devastating, affecting individuals, communities, and society as a whole. False or misleading health information can have serious consequences, such as believing in unproven remedies or misinformation about some vaccines can cause serious illness, disability, or even death. Any misinformation related to any financial scheme or investment can lead to false or poor financial decisions that could lead to bankruptcy and loss of long-term savings.

In a democratic nation, misinformation plays a vital role in forming a political opinion, and the misinformation spread on social media during elections can affect voter behaviour, damage trust, and may cause political instability.

Mitigating strategies

The best way to minimise or stop the spreading of misinformation requires a multi-faceted approach. These strategies include promoting media literacy with critical thinking, verifying information before sharing, holding social media platforms accountable, regulating misinformation, supporting critical research, and fostering healthy means of communication to build a resilient society.

To put an end to the cycle of misinformation and move towards a better future, we must create plans to combat the spread of false information. This will require coordinated actions from individuals, communities, tech companies, and institutions to promote a culture of information accuracy and responsible behaviour.

The widespread spread of false information on social media platforms presents serious problems for people, groups, and society as a whole. It becomes clear that battling false information necessitates a thorough and multifaceted strategy as we go deeper into comprehending the nuances of this problem.

Encouraging consumers to develop media literacy and critical thinking abilities is essential to preventing the spread of false information. Being educated is essential for equipping people to distinguish between reliable sources and false information. Giving individuals the skills to assess information critically will enable them to choose the content they share and consume with knowledge. Public awareness campaigns should be used to promote and include initiatives that aim to improve media literacy in school curriculum.

Ways to Stop Misinformation

As we have seen, misinformation can cause serious implications; the best way to minimise or stop the spreading of misinformation requires a multifaceted approach; here are some strategies to combat misinformation.

• Promote Media Literacy with Critical Thinking: Educate individuals about how to critically evaluate information, fact check, and recognise common tactics used to spread misinformation, the users must use their critical thinking before forming any opinion or perspective and sharing the content.
• Verify Information: we must encourage people to verify the information before sharing, especially if it seems sensational or controversial, and encourage the consumption of news or any information from a reputable source of news that follows ethical journalistic standards.
• Accountability: Advocate for social media networks' openness and responsibility in the fight against misinformation. Encourage platforms to put in place procedures to detect and delete fraudulent content while boosting credible sources.
• Regulate Misinformation: Looking at the current situation, it is important to advocate for policies and regulations that address the spread of misinformation while safeguarding freedom of expression. Transparency in online communication by identifying the source of information and disclosing any conflict of interest.
• Support Critical Research: Invest in research and study on the sources, impacts, and remedies to misinformation. Support collaborative initiatives by social scientists, psychologists, journalists, and technology to create evidence-based techniques for countering misinformation. 

Conclusion

To prevent the cycle of misinformation and move towards responsible use of the Internet, we must create strategies to combat the spread of false information. This will require coordinated actions from individuals, communities, tech companies, and institutions to promote a culture of information accuracy and responsible behaviour.

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