#FactCheck - Viral Postcard Attributing Fake UGC Statement to Keshav Prasad Maurya Is False

Introduction

Global cybersecurity spending is expected to breach USD 210 billion in 2025, a ~10% increase from 2024 (Gartner). This is a result of an evolving and increasingly critical threat landscape enabled by factors such as the proliferation of IoT devices, the adoption of cloud networks, and the increasing size of the internet itself.  Yet, breaches, misuse, and resistance persist. In 2025, global attack pressure rose ~21% Y-o-Y ( Q2 averages) (CheckPoint) and confirmed breaches climbed ~15%( Verizon DBIR). This means that rising investment in cybersecurity may not be yielding proportionate reductions in risk. But while mechanisms to strengthen technical defences and regulatory frameworks are constantly evolving, the social element of trust and how to embed it into cybersecurity systems remain largely overlooked.   

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Human Error and Digital Trust  (Individual Trust) 

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Human error is consistently recognised as the weakest link in cybersecurity. While campaigns focusing on phishing prevention, urging password updates and using two-factor authentication (2FA) exist, relying solely on awareness measures to address human error in cyberspace is like putting a Band-Aid on a bullet wound. Rather, it needs to be examined through the lens of digital trust. As Chui (2022) notes, digital trust rests on security,  dependability, integrity, and authenticity. These factors determine whether users comply with cybersecurity protocols. When people view rules as opaque, inconvenient, or imposed without accountability, they are more likely to cut corners, which creates vulnerabilities. Therefore, building digital trust means shifting from blaming people to design: embedding transparency, usability, and shared responsibility towards a culture of cybersecurity so that users are incentivised to make secure choices. 

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Organisational Trust and Insider Threats (Institutional Trust)

At the organisational level, compliance with cybersecurity protocols is significantly tied to whether employees trust employers/platforms to safeguard their data and treat them with integrity. Insider threats, stemming from both malicious and non-malicious actors, account for nearly 60% of all corporate breaches (Verizon DBIR 2024). A lack of trust in leadership may cause employees to feel disengaged or even act maliciously.  Further, a 2022 study by Harvard Business Review finds that adhering to cybersecurity protocols adds to employee workload. When they are perceived as hindering productivity, employees are more likely to intentionally violate these protocols.  The stress of working under surveillance systems that feel cumbersome or unreasonable, especially when working remotely, also reduces employee trust and, hence, compliance.  

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Trust, Inequality, and Vulnerability (Structural Trust)

Cyberspace encompasses a social system of its own since it involves patterned interactions and relationships between human beings. It also reproduces the social structures and resultant vulnerabilities of the physical world. As a result,  different sections of society place varying levels of trust in digital systems.  Women, rural, and marginalised groups often distrust existing digital security provisions more, and with reason. They are targeted disproportionately by cyber attackers, and yet are underprotected by systems, since these are designed prioritising urban/ male/ elite users.  This leads to citizens adopting workarounds like password sharing for “safety” and disengaging from cyber safety discourse, as they find existing systems inaccessible or irrelevant to their realities. Cybersecurity governance that ignores these divides deepens exclusion and mistrust.

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Laws and Compliances (Regulatory Trust)

Cybersecurity governance is operationalised in the form of laws, rules, and guidelines. However, these may often backfire due to inadequate design, reducing overall trust in governance mechanisms. For example, CERT-In’s mandate to report breaches within six hours of “noticing” it has been criticised as the steep timeframe being insufficient to generate an effective breach analysis report. Further, the multiplicity of regulatory frameworks in cross-border interactions can be costly and lead to compliance fatigue for organisations. Such factors can undermine organisational and user trust in the regulation’s ability to protect them from cyber attacks, fuelling a check-box-ticking culture for cybersecurity.  

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Conclusion 

Cybersecurity is addressed primarily through code, firewall, and compliance today. But evidence suggests that technological and regulatory fixes, while essential, are insufficient to guarantee secure behaviour and resilient systems. Without trust in institutions, technologies, laws or each other, cybersecurity governance will remain a cat-and-mouse game.  Building a trust-based architecture requires mechanisms to improve accountability, reliability, and transparency.  It requires participatory designs of security systems and the recognition of unequal vulnerabilities. Thus, unless cybersecurity governance acknowledges that cyberspace is deeply social,  investment may not be able to prevent the harms it seeks to curb. 

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References 

• https://www.gartner.com/en/newsroom/press-releases/2025-07-29
• https://blog.checkpoint.com/research/global-cyber-attacks-surge-21-in-q2-2025
• https://www.verizon.com/business/resources/reports/2024-dbir-executive-summary.pdf 
• https://www.verizon.com/business/resources/reports/2025-dbir-executive-summary.pdf 
• https://insights2techinfo.com/wp-content/uploads/2023/08/Building-Digital-Trust-Challenges-and-Strategies-in-Cybersecurity.pdf 
• https://www.coe.int/en/web/cyberviolence/cyberviolence-against-women 
• https://www.upguard.com/blog/indias-6-hour-data-breach-reporting-rule 

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Introduction

Smartphones have revolutionised human connectivity. In 2023, it was estimated that almost 96% of the global digital population is accessing the internet via their mobile phones and India alone has 1.05 billion users. Information consumption has grown exponentially due to the enhanced accessibility that these mobiles provide. These devices allow accessibility to information no matter where one is, and have completely transformed how we engage with the world around us, be it to skim through work emails while commuting, video streaming during breaks, reading an ebook at our convenience or even catching up on news at any time or place. Mobile phones  grant us instant access to the web and are always within reach. 

But this instant connection has its downsides too, and one of the most worrying of these is the rampant rise of misinformation. These tiny screens and our constant, on-the-go dependence on them can be directly linked to the spread of “fake news,” as people consume more and more content in rapid bursts, without taking the time to really process the same or think deeply about its authenticity. There is an underlying cultural shift in how we approach information and learning currently: the onslaught of vast amounts of “bite-sized information” discourages people from researching what they’re being told or shown. The focus has shifted from learning deeply to consuming more and sharing faster. And this change in audience behaviour is making us vulnerable to misinformation, disinformation and unchecked foreign influence.

The Growth of Mobile Internet Access 

More than 5 billion people are connected to the internet and web traffic is increasing rapidly. The developed countries in North America and Europe are experiencing mobile internet penetration at a universal rate.  Contrastingly, the developing countries of Africa, Asia, and Latin America are experiencing rapid growth in this penetration. The introduction of affordable smartphones and low-cost mobile data plans has expanded access to internet connectivity. 4G and 5G infrastructure development have further bridged any connectivity gaps. This widespread access to the mobile internet has democratised information, allowing millions of users to participate in the digital economy.  Access to educational resources while at the same time engaging in global conversations is one such example of the democratisation of information. This reduces the digital divide between diverse groups and empowers communities with unprecedented access to knowledge and opportunities.

The Nature of Misinformation in the Mobile Era 

Misinformation spread has become more prominent in recent times and one of the contributing factors is the rise of mobile internet. This instantaneous connection has made social media platforms like Facebook, WhatsApp, and X (formerly Twitter) available on a single compact and portable device. These social media platforms enable users to share content instantly and to a wide user base, many times without verifying its accuracy. The virality of social media sharing, where posts can reach thousands of users in seconds, accelerates the spread of false information. This ease of sharing, combined with algorithms that prioritise engagement, creates a fertile ground for misinformation to flourish, misleading vast numbers of people before corrections or factual information can be disseminated. 

Some of the factors that are amplifying misinformation sharing through mobile internet are algorithmic amplification which prioritises engagement, the ease of sharing content due to instant access and user-generated content, the limited media literacy of users and the echo chambers which reinforce existing biases and spread false information. 

Gaps and Challenges due to the increased accessibility of  Mobile Internet 

Despite growing concerns about misinformation spread due to mobile internet, policy responses remain inadequate, particularly in developing countries. These gaps include: the lack of algorithm regulation, as social media platforms prioritise engaging content, often fueling misinformation. Inadequate international cooperation further complicates enforcement, as addressing the cross-border nature of misinformation has been a struggle for national regulations. 

Additionally, balancing content moderation with free speech remains challenging, with efforts to curb misinformation sometimes leading to concerns over censorship. 

Finally, a deficit in media literacy leaves many vulnerable to false information. Governments and international organisations must prioritise public education to equip users with the required skills to evaluate online content, especially in low-literacy regions.

CyberPeace Recommendations

Addressing misinformation via mobile internet requires a collaborative, multi-stakeholder approach. 

• Governments should mandate algorithm transparency, ensuring social media platforms disclose how content is prioritised and give users more control. 
• Collaborative fact-checking initiatives between governments, platforms, and civil society could help flag or correct false information before it spreads, especially during crises like elections or public health emergencies. 
• International organisations should lead efforts to create standardised global regulations to hold platforms accountable across borders. 
• Additionally, large-scale digital literacy campaigns are crucial, teaching the public how to assess online content and avoid misinformation traps.

Conclusion

Mobile internet access has transformed information consumption and bridged the digital divide. At the same time, it has also accelerated the spread of misinformation. The global reach and instant nature of mobile platforms, combined with algorithmic amplification, have created significant challenges in controlling the flow of false information. Addressing this issue requires a collective effort from governments, tech companies, and civil society to implement transparent algorithms, promote fact-checking, and establish international regulatory standards. Digital literacy should be enhanced to empower users to assess online content and counter any risks that it poses.  

References

• https://www.statista.com/statistics/1289755/internet-access-by-device-worldwide/ 
• https://www.forbes.com/sites/kalevleetaru/2019/05/01/are-smartphones-making-fake-news-and-disinformation-worse/
• https://www.pewresearch.org/short-reads/2019/03/07/7-key-findings-about-mobile-phone-and-social-media-use-in-emerging-economies/ft_19-02-28_globalmobilekeytakeaways_misinformation/ 
• https://www.psu.edu/news/research/story/slow-scroll-users-less-vigilant-about-misinformation-mobile-phones 

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Introduction

In an era when misinformation spreads like wildfire across the digital landscape, the need for effective strategies to counteract these challenges has grown exponentially in a very short period. Prebunking and Debunking are two approaches for countering the growing spread of misinformation online. Prebunking empowers individuals by teaching them to discern between true and false information and acts as a protective layer that comes into play even before people encounter malicious content. Debunking is the correction of false or misleading claims after exposure, aiming to undo or reverse the effects of a particular piece of misinformation. Debunking includes methods such as fact-checking, algorithmic correction on a platform, social correction by an individual or group of online peers, or fact-checking reports by expert organisations or journalists. An integrated approach which involves both strategies can be effective in countering the rapid spread of misinformation online.

Brief Analysis of Prebunking 

Prebunking is a proactive practice that seeks to rebut erroneous information before it spreads. The goal is to train people to critically analyse information and develop ‘cognitive immunity’ so that they are less likely to be misled when they do encounter misinformation. 

The Prebunking approach, grounded in Inoculation theory, teaches people to recognise, analyse and avoid manipulation and misleading content so that they build resilience against the same. Inoculation theory, a social psychology framework, suggests that pre-emptively conferring psychological resistance against malicious persuasion attempts can reduce susceptibility to misinformation across cultures. As the term suggests, the MO is to help the mind in the present develop resistance to influence that it may encounter in the future. Just as medical vaccines or inoculations help the body build resistance to future infections by administering weakened doses of the harm agent, inoculation theory seeks to teach people fact from fiction through exposure to examples of weak, dichotomous arguments, manipulation tactics like emotionally charged language, case studies that draw parallels between truths and distortions, and so on. In showing people the difference, inoculation theory teaches them to be on the lookout for misinformation and manipulation even, or especially, when they least expect it. 

The core difference between Prebunking and Debunking is that while the former is preventative and seeks to provide a broad-spectrum cover against misinformation, the latter is reactive and focuses on specific instances of misinformation. While Debunking is closely tied to fact-checking, Prebunking is tied to a wider range of specific interventions, some of which increase motivation to be vigilant against misinformation and others increase the ability to engage in vigilance with success.

There is much to be said in favour of the Prebunking approach because these interventions build the capacity to identify misinformation and recognise red flags However, their success in practice may vary. It might be difficult to scale up Prebunking efforts and ensure their reach to a larger audience. Sustainability is critical in ensuring that Prebunking measures maintain their impact over time. Continuous reinforcement and reminders may be required to ensure that individuals retain the skills and information they gained from the Prebunking training activities. Misinformation tactics and strategies are always evolving, so it is critical that Prebunking interventions are also flexible and agile and respond promptly to developing challenges. This may be easier said than done, but with new misinformation and cyber threats developing frequently, it is a challenge that has to be addressed for Prebunking to be a successful long-term solution. 

Encouraging people to be actively cautious while interacting with information, acquire critical thinking abilities, and reject the effect of misinformation requires a significant behavioural change over a relatively short period of time. Overcoming ingrained habits and prejudices, and countering a natural reluctance to change is no mean feat. Developing a widespread culture of information literacy requires years of social conditioning and unlearning and may pose a significant challenge to the effectiveness of Prebunking interventions. 

Brief Analysis of Debunking 

Debunking is a technique for identifying and informing people that certain news items or information are incorrect or misleading. It seeks to lessen the impact of misinformation that has already spread. The most popular kind of Debunking occurs through collaboration between fact-checking organisations and social media businesses. Journalists or other fact-checkers discover inaccurate or misleading material, and social media platforms flag or label it. Debunking is an important strategy for curtailing the spread of misinformation and promoting accuracy in the digital information ecosystem. 

Debunking interventions are crucial in combating misinformation. However, there are certain challenges associated with the same. Debunking misinformation entails critically verifying facts and promoting corrected information. However, this is difficult owing to the rising complexity of modern tools used to generate narratives that combine truth and untruth, views and facts. These advanced approaches, which include emotional spectrum elements, deepfakes, audiovisual material, and pervasive trolling, necessitate a sophisticated reaction at all levels: technological, organisational, and cultural.

Furthermore, It is impossible to debunk all misinformation at any given time, which effectively means that it is impossible to protect everyone at all times, which means that at least some innocent netizens will fall victim to manipulation despite our best efforts.  Debunking is inherently reactive in nature, addressing misinformation after it has grown extensively. This reactionary method may be less successful than proactive strategies such as Prebunking from the perspective of total harm done. Misinformation producers operate swiftly and unexpectedly, making it difficult for fact-checkers to keep up with the rapid dissemination of erroneous or misleading information. Debunking may need continuous exposure to fact-check to prevent erroneous beliefs from forming, implying that a single Debunking may not be enough to rectify misinformation.  Debunking requires time and resources, and it is not possible to disprove every piece of misinformation that circulates at any particular moment. This constraint may cause certain misinformation to go unchecked, perhaps leading to unexpected effects. The misinformation on social media can be quickly spread and may become viral faster than Debunking pieces or articles. This leads to a situation in which misinformation spreads like a virus, while the antidote to debunked facts struggles to catch up.

Prebunking vs Debunking: Comparative Analysis

Prebunking interventions seek to educate people to recognise and reject misinformation before they are exposed to actual manipulation. Prebunking offers tactics for critical examination, lessening the individuals' susceptibility to misinformation in a variety of contexts. On the other hand, Debunking interventions involve correcting specific false claims after they have been circulated. While Debunking can address individual instances of misinformation, its impact on reducing overall reliance on misinformation may be limited by the reactive nature of the approach.

CyberPeace Policy Recommendations for Tech/Social Media Platforms

With the rising threat of online misinformation, tech/social media platforms can adopt an integrated strategy that includes both Prebunking and Debunking initiatives to be deployed and supported on all platforms to empower users to recognise the manipulative messaging through Prebunking and be aware of the accuracy of misinformation through Debunking interventions. 

1. Gamified Inoculation: Tech/social media companies can encourage gamified inoculation campaigns, which is a competence-oriented approach to Prebunking misinformation. This can be effective in helping people immunise the receiver against subsequent exposures. It can empower people to build competencies to detect misinformation through gamified interventions. 
2. Promotion of Prebunking and Debunking Campaigns through Algorithm Mechanisms: Tech/social media platforms may promote and guarantee that algorithms prioritise the distribution of Prebunking materials to users, boosting educational content that strengthens resistance to misinformation. Platform operators should incorporate algorithms that prioritise the visibility of Debunking content in order to combat the spread of erroneous information and deliver proper corrections; this can eventually address and aid in Prebunking and Debunking methods to reach a bigger or targeted audience.
3. User Empowerment to Counter Misinformation: Tech/social media platforms can design user-friendly interfaces that allow people to access Prebunking materials, quizzes, and instructional information to help them improve their critical thinking abilities. Furthermore, they can incorporate simple reporting tools for flagging misinformation, as well as links to fact-checking resources and corrections.
4. Partnership with Fact-Checking/Expert Organizations: Tech/social media platforms can facilitate Prebunking and Debunking initiatives/campaigns by collaborating with fact-checking/expert organisations and promoting such initiatives at a larger scale and ultimately fighting misinformation with joint hands initiatives.

Conclusion

The threat of online misinformation is only growing with every passing day and so, deploying effective countermeasures is essential.  Prebunking and Debunking are the two such interventions. To sum up: Prebunking interventions try to increase resilience to misinformation, proactively lowering susceptibility to erroneous or misleading information and addressing broader patterns of misinformation consumption, while Debunking is effective in correcting a particular piece of misinformation and having a targeted impact on belief in individual false claims. An integrated approach involving both the methods and joint initiatives by tech/social media platforms and expert organizations can ultimately help in fighting the rising tide of online misinformation and establishing a resilient online information landscape. 

References

1. https://mark-hurlstone.github.io/THKE.22.BJP.pdf
2. https://futurefreespeech.org/wp-content/uploads/2024/01/Empowering-Audiences-Through-%E2%80%98Prebunking-Michael-Bang-Petersen-Background-Report_formatted.pdf
3. https://newsreel.pte.hu/news/unprecedented_challenges_Debunking_disinformation
4. https://misinforeview.hks.harvard.edu/article/global-vaccination-badnews/

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