Mobile Internet Accessibility and its Impact on Misinformation Spread
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
Related Blogs
Introduction
Generative AI models are significant consumers of computational resources and energy required for training and running models. While AI is being hailed as a game-changer, however underneath the shiny exterior, cracks are present which significantly raises concerns for its environmental impact. The development, maintenance, and disposal of AI technology all come with a large carbon footprint. The energy consumption of AI models, particularly large-scale models or image generation systems, these models rely on data centers powered by electricity, often from non-renewable sources, which exacerbates environmental concerns and contributes to substantial carbon emissions.
As AI adoption grows, improving energy efficiency becomes essential. Optimising algorithms, reducing model complexity, and using more efficient hardware can lower the energy footprint of AI systems. Additionally, transitioning to renewable energy sources for data centers can help mitigate their environmental impact. There is a growing need for sustainable AI development, where environmental considerations are integral to model design and deployment.
A breakdown of how generative AI contributes to environmental risks and the pressing need for energy efficiency:
- Gen AI during the training phase has high power consumption, when vast amounts of computational power which is often utilising extensive GPU clusters for weeks or at times even months, consumes a substantial amount of electricity. Post this phase, the inference phase where the deployment of these models takes place for real-time inference, can be energy-extensive especially when we take into account the millions of users of Gen AI.
- The main source of energy used for training and deploying AI models often comes from non-renewable sources which then contribute to the carbon footprint. The data centers where the computations for Gen AI take place are a significant source of carbon emissions if they rely on the use of fossil fuels for their energy needs for the training and deployment of the models. According to a study by MIT, training an AI can produce emissions that are equivalent to around 300 round-trip flights between New York and San Francisco. According to a report by Goldman Sachs, Data Companies will use 8% of US power by 2030, compared to 3% in 2022 as their energy demand grows by 160%.
- The production and disposal of hardware (GPUs, servers) necessary for AI contribute to environmental degradation. Mining for raw materials and disposing of electronic waste (e-waste) are additional environmental concerns. E-waste contains hazardous chemicals, including lead, mercury, and cadmium, that can contaminate soil and water supplies and endanger both human health and the environment.
Efforts by the Industry to reduce the environmental risk posed by Gen AI
There are a few examples of how companies are making efforts to reduce their carbon footprint, reduce energy consumption and overall be more environmentally friendly in the long run. Some of the efforts are as under:
- Google's TPUs in particular the Google Tensor are designed specifically for machine learning tasks and offer a higher performance-per-watt ratio compared to traditional GPUs, leading to more efficient AI computations during the shorter periods requiring peak consumption.
- Researchers at Microsoft, for instance, have developed a so-called “1 bit” architecture that can make LLMs 10 times more energy efficient than the current leading system. This system simplifies the models’ calculations by reducing the values to 0 or 1, slashing power consumption but without sacrificing its performance.
- OpenAI has been working on optimizing the efficiency of its models and exploring ways to reduce the environmental impact of AI and using renewable energy as much as possible including the research into more efficient training methods and model architectures.
Policy Recommendations
We advocate for the sustainable product development process and press the need for Energy Efficiency in AI Models to counter the environmental impact that they have. These improvements would not only be better for the environment but also contribute to the greater and sustainable development of Gen AI. Some suggestions are as follows:
- AI needs to adopt a Climate justice framework which has been informed by a diverse context and perspectives while working in tandem with the UN’s (Sustainable Development Goals) SDGs.
- Working and developing more efficient algorithms that would require less computational power for both training and inference can reduce energy consumption. Designing more energy-efficient hardware, such as specialized AI accelerators and next-generation GPUs, can help mitigate the environmental impact.
- Transitioning to renewable energy sources (solar, wind, hydro) can significantly reduce the carbon footprint associated with AI. The World Economic Forum (WEF) projects that by 2050, the total amount of e-waste generated will have surpassed 120 million metric tonnes.
- Employing techniques like model compression, which reduces the size of AI models without sacrificing performance, can lead to less energy-intensive computations. Optimized models are faster and require less hardware, thus consuming less energy.
- Implementing scattered learning approaches, where models are trained across decentralized devices rather than centralized data centers, can lead to a better distribution of energy load evenly and reduce the overall environmental impact.
- Enhancing the energy efficiency of data centers through better cooling systems, improved energy management practices, and the use of AI for optimizing data center operations can contribute to reduced energy consumption.
Final Words
The UN Sustainable Development Goals (SDGs) are crucial for the AI industry just as other industries as they guide responsible innovation. Aligning AI development with the SDGs will ensure ethical practices, promoting sustainability, equity, and inclusivity. This alignment fosters global trust in AI technologies, encourages investment, and drives solutions to pressing global challenges, such as poverty, education, and climate change, ultimately creating a positive impact on society and the environment. The current state of AI is that it is essentially utilizing enormous power and producing a product not efficiently utilizing the power it gets. AI and its derivatives are stressing the environment in such a manner which if it continues will affect the clean water resources and other non-renewable power generation sources which contributed to the huge carbon footprint of the AI industry as a whole.
References
- https://cio.economictimes.indiatimes.com/news/artificial-intelligence/ais-hunger-for-power-can-be-tamed/111302991
- https://earth.org/the-green-dilemma-can-ai-fulfil-its-potential-without-harming-the-environment/
- https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/
- https://www.scientificamerican.com/article/ais-climate-impact-goes-beyond-its-emissions/
- https://insights.grcglobalgroup.com/the-environmental-impact-of-ai/
Introduction
Cyberspace is the new and the fifth dimension of warfare as recognised by the UN. In recent times we have seen a significant rise in cyber attacks on nations’ strategic interests and critical infrastructure. The scope of cyberwarfare is increasing rapidly in contemporary times. Nations across the globe are struggling with this issue. The Ministry of Defence of the Government of India has been fundamental to take preventive measures towards all attacks on the Republic of India. The ministry is the junction for all three forces: Airforce, Navy and Army and creates coordination between the forces and deploys the force at strategic locations in terms of enemy threats.
The new OS
Governments across the world have developed various cyber security measures and mechanisms to keep data and information safe and secure. Similarly, the Indian Government has been very critical in deploying cybersecurity strategies, policies, measures, and bills to safeguard the Indian cyber-ecosystem. The Ministry of Defence has recently made a transition in terms of the Operating System used in the daily functions of the ministry. Earlier, the ministry was using an OS from Microsoft, which has now been replaced with the indigenous OS named “Maya” based on open-source Ubuntu. This is the first time the ministry will be deploying indigenous operating software. This step comes at a time of global rise in cyber attacks, and the aspect of indigenous OS will prevent malware and spyware attacks.
What is Maya?
Users will not notice many differences while switching to Maya because it has a similar interface and functionality to Windows. The first instruction is to install Maya on all South Block PCs with Internet access before August 15. In these systems, a Chakravyuh “endpoint detection and protection system” is also being installed. Maya isn’t yet installed on any computers connected to the networks of the three Services; instead, it is solely used in Defence Ministry systems. It had also been reviewed by the three Services and would shortly be adopted on service networks. The Army and Air Force were currently reviewing it after the Navy had already given its approval.
OS Maya was created by government development organisations in less than six months. An official from the ministry has informed that Maya would stop malware attacks and other cyberattacks, which have sharply increased. The nation has recently experienced a number of malware and extortion attacks, some of which targeted vital infrastructure. The Defence Ministry has made repeated attempts in the past to switch from Windows to an Indian operating system.
How will the new OS help?
The OS Maya is a critically developed OS and is expected to cater to the needs of all cybersecurity and safety issues of contemporary threats and vulnerabilities.
The following aspects need to be kept in mind in regard to safety and security issues:
- Better and improved security and safety
- Reduced chances of cyberattacks
- Promotion of Inidegenous talent and innovation
- Global standard OS
- Preventing and precautionary measures
- Safety by Design for overall resilience
- Improved Inter forces coordination
- Upskilling and capacity building for Serving personnel
Conclusion
Finally, the emergence of cyberspace as the fifth dimension of warfare has compelled countries all over the world to adopt a proactive stance, and India’s Ministry of Defence has made a significant move in this area. The significance of strengthened cybersecurity measures has been highlighted by the rising frequency and level of complexity of cyberattacks against key assets and vital infrastructure. The Ministry’s choice to use the local Maya operating system is a key step in protecting the country’s cyber-ecosystem. Maya’s debut represents a fundamental shift in the cybersecurity approach as well as a technology transition. This change not only improves the security and protection of confidential data but also demonstrates India’s dedication to supporting innovation and developing homegrown talent. Government development organisations have shown their commitment to solving the changing difficulties of the digital age by producing cutting-edge operating systems like Maya in a relatively short amount of time.
Executive Summary:
A viral online video claims Canadian Prime Minister Justin Trudeau promotes an investment project. However, the CyberPeace Research Team has confirmed that the video is a deepfake, created using AI technology to manipulate Trudeau's facial expressions and voice. The original footage has no connection to any investment project. The claim that Justin Trudeau endorses this project is false and misleading.
Claims:
A viral video falsely claims that Canadian Prime Minister Justin Trudeau is endorsing an investment project.
Fact Check:
Upon receiving the viral posts, we conducted a Google Lens search on the keyframes of the video. The search led us to various legitimate sources featuring Prime Minister Justin Trudeau, none of which included promotion of any investment projects. The viral video exhibited signs of digital manipulation, prompting a deeper investigation.
We used AI detection tools, such as TrueMedia, to analyze the video. The analysis confirmed with 99.8% confidence that the video was a deepfake. The tools identified "substantial evidence of manipulation," particularly in the facial movements and voice, which were found to be artificially generated.
Additionally, an extensive review of official statements and interviews with Prime Minister Trudeau revealed no mention of any such investment project. No credible reports were found linking Trudeau to this promotion, further confirming the video’s inauthenticity.
Conclusion:
The viral video claiming that Justin Trudeau promotes an investment project is a deepfake. The research using various tools such as Google Lens, AI detection tool confirms that the video is manipulated using AI technology. Additionally, there is no information in any official sources. Thus, the CyberPeace Research Team confirms that the video was manipulated using AI technology, making the claim false and misleading.
- Claim: Justin Trudeau promotes an investment project viral on social media.
- Claimed on: Facebook
- Fact Check: False & Misleading
