How are we being tracked online?

What impact does tracking have?

In the digital world, tracking occurs through digital signals sent from one computer to a server, and from a server to an organisation. Almost immediately, a profile of a user can be created. The information can be leveraged to send personalised advertisements for products and services consumers are interested in, but it can also classify people into categories to send them advertisements to steer them in a certain direction, for example, politically (2024 Romanian election, Cambridge Analytica Scandal skewing the 2016 Brexit referendum and 2016 US Elections). 

Digital tracking can be carried out with minimal costs, rapid execution and the capacity to reach hundreds of thousands of users simultaneously. These methods require either technical skills (such as coding) or access to platforms that automate tracking. 

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Image taken from the Internet Archive

This phenomenon has been well documented and likened to George Orwell’s 1984, in which the people of Oceania are subject to constant surveillance by ‘Big Brother’ and institutions of control; the Ministry of Truth (propaganda), Peace (military control), Love (torture and forced loyalty) and Plenty (manufactured prosperity). 

A related concept is the Panopticon, developed by the French philosopher Michel Foucault’s social theory based on the architecture of a prison, enabling constant observation from a central point. Prisoners never know if they are being watched and thus self-regulate their behaviour. In today’s tech-driven society, our digital behaviour is similarly regulated through the persistent possibility of surveillance. 

How are we tracked? The case of cookies and device fingerprinting

  • Cookies

Cookies are small, unique text files placed on a user’s device by their web browser at the request of a website. When a user visits a website, the server can instruct the browser to create or update a cookie. These cookies are then sent back to the server with each subsequent request to the same website, allowing the server to recognise and remember certain information (login status, preferences, or tracking data).

If a user visits multiple websites about a specific topic, that pattern can be collected and sold to advertisers targeting that interest. This applies to all forms of advertising, not just commercial but also political and ideological influence.

  • Device fingerprinting 

Device fingerprinting involves generating a unique identifier using a device’s hardware and software characteristics. Types include browser fingerprinting, mobile fingerprinting, desktop fingerprinting, and cross-device tracking. To assess how unique a browser is, users can test their setup via the Cover Your Tracks tool by the Electronic Frontier Foundation.

Different information will be collected, such as your operating system, language version, keyboard settings, screen resolution, font used, device make and model and more. The more data points collected, the more unique an individual’s device will be.

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Image taken from Lan Sweeper

A common reason to use device fingerprinting is for advertising. Since each individual has a unique identifier, advertisers can distinguish individuals from one another and see which websites they visit based on past collected data. 

Similar to cookies, device fingerprinting is not purely about advertising, as it has some legitimate security purposes. Device fingerprinting, as it creates a unique ID of a device, allows websites to recognise a user’s device. This is useful to combat fraud. For instance, if a known device suddenly logs in from an unknown fingerprint, fraud detection mechanisms may flag and block the login attempt.

Legal considerations

Apart from societal impacts, there are legal considerations to be made, specifically concerning fundamental rights. In the EU and Europe, Articles 7 and 8 of the Charter of Fundamental Rights and Article 8 of the European Convention on Human Rights are what give rise to the protection of personal data in the first place. They form the legal bedrock of digital privacy legislation, such as the GDPR and the ePrivacy Directive. Stemming from the GDPR, there is a protection against unlawful, unfair and opaque processing of personal data.

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Articles 7 and 8 of the Charter of Fundamental Rights

For tracking to be carried out lawfully, one of the six legal bases of the GDPR must be relied upon. In this case, tracking is usually only lawful if the legal basis of consent is relied upon (Article 6(1)(a) GDPR, which stems from Article 5(1) of the ePrivacy Directive).

Other legal bases, such as the legitimate interest of a business, may allow for limited analytical cookies to be placed, of which the cookies referred to in this analysis are not. 

Regardless of this, to obtain consent, website visitors must ensure that consent is collected prior to processing occurring, freely given, specific, informed and unambiguous. In most cases of website tracking, consent is not collected prior to processing.

In practice, this means that before a consent request is fulfilled by a website visitor, cookies are placed on the user’s device. There are additional concerns about consent not being informed, as users do not know what processing personal data to enable tracking entails. 

Moreover, consent is not specific to what is necessary to the processing, given that processing occurs for broad and unspecified reasons, such as improving visitor experience and understanding the website better, and those explanations are generic and broad.

Further, tracking is typically unfair as users do not expect to be tracked across sites or have digital profiles made about themselves based on website visits. Tracking is also opaque, as users do not understand how tracking occurs. Website owners state that tracking occurs with a lack of explanation on how it occurs in the first place. Users do not know for how long it occurs, what personal data is being used to track or how it benefits website owners. 

Can we refuse tracking

In theory, it is possible to prevent tracking from the get-go. This can be done by refusing to give consent when tracking occurs. However, in practice, refusing consent can still lead to tracking. Outlined below are two concrete examples of this happening daily.

  • Cookies

Regarding cookies, simply put, the refusal of all requests is not honoured, it is ignored. Studies have found that when a user visits a website and refuses to give consent, their request is not honoured. Cookies and similar tracking technologies are placed on the user’s device as if they had accepted cookies.

This increases user frustration as they are given a choice that is non-existent. This occurs as non-essential cookies, which can be refused, are lumped together with essential cookies, which cannot be refused. Therefore, when refusing consent to non-essential cookies, not all are refused, as some are mislabelled.

Another reason for this occurrence is that cookies are placed before consent is sought. Often, website owners outsource cookie banner compliance to more experienced companies. These websites use consent management platforms (CMPs) such as Cookiebot by Usercentrics or One Trust.

When verifying when cookies are placed via these CMPs, the option to load cookies after consent is sought needs to be manually selected. Therefore, website owners need to have knowledge about consent requirements to understand that cookies are not to be placed prior to consent being sought. 

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Image taken from Buddy Company

  • Google Consent Mode

Another example is related to Google Consent Mode (GCM). GCM is relevant to mention here as Google is the most common third-party tracker on the web, thus the most likely tracker users will encounter. They have a vast array of trackers ranging from statistics, analytics, preferences, marketing and more. GCM essentially creates a path for website analytics to occur despite consent being refused. This occurs as GCM claims that it can send cookieless ping signals to user devices to know how many users have viewed a website, clicked on a page, searched a term, etc.

This is a novel solution Google is presenting, and it claims to be privacy-friendly, as no cookies are required for this to occur. However, a study on tags, specifically GCM tags, found that GCM is not privacy-friendly and infringes the GDPR. The study found that Google still collects personal data in these ‘cookieless ping signals’ such as user language, screen resolution, computer architecture, user agent string, operating system and its version, complete web page URL and search keywords. Since this data is collected and processed despite the user refusing consent, there are undoubtedly legal issues.

The first reason comes from the lawfulness general principle whereby Google has no lawful basis to process this personal data as the user refused consent, and no other legal basis is used. The second reason stems from the general principle of fairness, as users do not expect that, after refusing trackers and choosing the more privacy-friendly option, their data is still processed as if their consent choice did not matter.

Therefore, from Google’s perspective, GCM is privacy-friendly as no cookies are placed, thus no consent is required to be sought. However, a recent study revealed that personal data is still being processed without any permission or legal basis. 

What next?

  • On an individual level: 

Many solutions have been developed for individuals to reduce the tracking they are subject to. From browser extensions to using devices that are more privacy-friendly and using ad blockers. One notable company tackling this issue is Duck Duck Go, which by default rejects trackers, allows for email protection, and overall reduces trackers when using their browser. Duck Duck Go is not the only company to allow this, many more, such as uBlock Origin and Ghostery, offer similar services.

Specifically, regarding fingerprint ID, researchers have developed ways to prevent device fingerprinting. In 2023, researchers proposed ShieldF, which is a Chromium add-on that reduces fingerprinting for mobile apps and browsers. Other measures include using an IP address that many people use, which is not ideal for home Wi-Fi. Using a combination of a browser extension and a VPN is also unsuitable for every individual, as this demands a substantial amount of effort and sometimes financial costs.  

  • On a systemic level: 

CMPs and GCM are active tracking stakeholders in the tracking ecosystem, and their actions are subject to enforcement bodies. In this case, predominantly data protection authorities (DPA). One prominent DPA working on cookie enforcement is the Dutch DPA, the Autoriteit Persoonsgegevens (AP). In the early months of 2025, the AP has publicly stated that its focus for this upcoming year will be to check cookie compliance. They announced that they would be investigating 10,000 websites in the Netherlands. This has led to investigations into companies with unlawful cookie banners, concluding with warnings and sanctions.

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However, these investigations require extensive time and effort. DPAs have already stated that they are overworked and do not have enough personnel or financial resources to cope with the increase in responsibility. Coupled with the fact that sanctioned companies set aside financial pots for these sanctions, or that non-EU businesses do not comply with DPA sanction decisions (the case of Clearview AI). Different ways to tackle non-compliance should be investigated.

For example, in light of the GDPR simplification package, whilst simplifying some measures, other liability measures could be introduced to ensure that enforcement is as vigorous as the legislation itself. The EU has not shied away from holding management boards liable for non-compliance. In a separate legislation on cybersecurity, NIS II Article 20(1) states that ‘management bodies of essential and important entities approve the cybersecurity risk-management measures (…) can be held liable for infringements (…)’. That article allows for board member liability for specific cybersecurity risk-management measures in Article 21. If similar measures cannot be introduced during this time, other moments of amendment can be consulted for this.

Conclusion

Cookies and device fingerprinting are two common ways in which tracking occurs. The potential larger societal and legal consequences of tracking demand that existing robust legislation is enforced to ensure that past politically related historical mistakes are not repeated.

Ultimately, there is no way to completely prevent fingerprinting and cookie-based tracking without significantly compromising the user’s browsing experience. For this reason, the burden of responsibility must shift toward CMPs. This shift should begin with the implementation of privacy-by-design and privacy-by-default principles in the development of their tools (preventing cookie placement prior to consent seeking).

Accountability should occur through tangible consequences, such as liability for board members in cases of negligence. By attributing responsibility to the companies which develop cookie banners and facilitate trackers, the source of the problem can be addressed and held accountable for their human rights violations.

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Tea dating app suspends messaging after the major data breach

The women’s dating safety app Tea has suspended its messaging feature following a cyberattack that exposed thousands of private messages, posts and images.

The app, which helps women run background checks on men, confirmed that direct messages were accessed during the initial breach disclosed in late July.

Tea has 1.6 million users, primarily in the US. Affected users will be contacted directly and offered free identity protection services, including credit monitoring and fraud alerts.

The company said it is working to strengthen its security and will provide updates as the investigation continues. Some of the leaked conversations reportedly contain sensitive discussions about infidelity and abortion.

Experts have warned that the leak of both images and messages raises the risk of emotional harm, blackmail or identity theft. Cybersecurity specialists recommend that users accept the free protection services as soon as possible.

The breach affected those who joined the app before February 2024, including users who submitted ID photos that Tea had promised would be deleted after verification.

Tea is known for allowing women to check if a potential partner is married or has a criminal record, as well as share personal experiences to flag abusive or trustworthy behaviour.

The app’s recent popularity surge has also sparked criticism, with some claiming it unfairly targets men. As users await more information, experts urge caution and vigilance.

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India uses AI to catch crypto tax evaders

India’s Income Tax Department is using AI and data tools to identify tax evasion in cryptocurrency transactions. The government collected ₹437 crore in crypto taxes in 2022-2023 using machine learning and digital forensics to spot suspicious activity.

Tax authorities match deducted at source (TDS) data from crypto exchanges to improve compliance. The introduction of the Crypto-Asset Reporting Framework (CARF) also enables automated sharing of tax information, aligning India’s efforts with international tax agreements.

These moves mark a push for greater transparency in India’s digital asset market. Enhanced wallet visibility and automatic data exchange aim to reduce anonymity and curb tax evasion in the crypto space.

India continues to develop regulations focused on consumer protection, cross-border cooperation, and tax compliance, demonstrating a commitment to a more traceable and accountable crypto industry.

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Hanwha and Samsung lead Korea’s cyber insurance push

South Korea is stepping up efforts to strengthen its cyber insurance sector as corporate cyberattacks surge across industries. A string of major breaches has revealed widespread vulnerability and renewed demand for more comprehensive digital risk protection.

Hanwha General Insurance launched Korea’s first Cyber Risk Management Centre last November and partnered with global cybersecurity firm Theori and law firm Shin & Kim to expand its offerings.

Despite the growing need, the market remains underdeveloped. Cyber insurance makes up only 1 percent of Korea’s accident insurance sector, with a 2024 report estimating local cyber premiums at $50 million, just 0.3 percent of the global total.

Regulators and industry voices call for higher mandatory coverage, clearer underwriting standards, and financial incentives to promote adoption.

As Korean demand rises, comprehensive policies offering tailored options and emergency coverage are gaining traction, with Hanwha reporting a 200 percent revenue jump in under a year.

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EU Commission accuses Temu of failing DSA checks

The European Commission has accused Temu of breaching the Digital Services Act by failing to assess and address the sale of illegal or dangerous products.

The accusation follows months of investigation and a review of a required risk report submitted by Temu, which the Commission found too vague.

A mystery shopping exercise by the EU uncovered unsafe toys and electronics on the platform, raising concerns over consumer safety.

Additional parts of the probe are ongoing, including scrutiny of Temu’s use of addictive designs, algorithmic transparency and product recommendations.

Temu now has a few weeks to respond to the preliminary findings, though no final deadline has been given. Under the DSA, confirmed violations could result in fines of up to 6% of a company’s global turnover.

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Trust in human doctors remains despite AI advancements

OpenAI CEO Sam Altman has stated that AI, especially ChatGPT, now surpasses many doctors in diagnosing illnesses. However, he pointed out that individuals still prefer human doctors because of the trust and emotional connection they provide.

Altman also expressed concerns about the potential misuse of AI, such as using voice cloning for fraud and identity theft. He emphasised the need for stronger privacy protections for sensitive conversations with AI tools like ChatGPT, noting that current standards are inadequate and should align with those for therapists.

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DOJ seizes $2.3 million Bitcoin from Chaos ransomware

The US Department of Justice has moved to seize over $2.3 million in Bitcoin tied to a member of the Chaos ransomware group. The funds, taken from a wallet linked to the individual known as ‘Hors’, are alleged to be proceeds of extortion and money laundering.

Chaos operates as a ransomware-as-a-service group, renting its malware to affiliates targeting Windows, Linux, and NAS systems. The group has been active since early 2025 and is known for encrypting victims’ data while demanding crypto payments under threat of public leaks.

US Federal agents accessed the wallet in April using a recovery seed phrase from an older Electrum platform and transferred the assets to a government-controlled address. The DOJ said the operation demonstrates growing success in disrupting ransomware-related crypto flows.

Despite the seizure, challenges remain as such groups evolve their tactics and benefit from the relative anonymity of decentralised platforms. Authorities stress that continued cross-agency cooperation and advances in blockchain forensics are essential in combating future threats.

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EU clears Microsoft deal after privacy changes

The European Data Protection Supervisor (EDPS) has ended its enforcement action against the European Commission over its use of Microsoft, following improvements to data protection practices. The decision came after the Commission revised its contract with Microsoft to improve privacy standards.

Under the updated terms, Microsoft must clarify the reasons for data transfers outside the European Economic Area and name the recipients. Transfers are only allowed to countries with EU-recognised protections or in public interest cases.

Microsoft must also inform the Commission if a foreign government requests access to EU data, unless the request comes from within the EU or a country with equivalent safeguards. The EDPS urged other EU institutions to adopt similar contractual protections if using Microsoft 365.

Despite the EDPS’ clearance, the Commission remains concerned about relying too heavily on a non-EU tech provider for essential digital services. It continues to support the current EU-US data adequacy deal, though recent political changes in the US have cast doubt on its long-term stability.

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Google brings AI Mode to UK search results

Google has officially introduced its AI Mode to UK users, calling it the most advanced version of its search engine.

Instead of listing web links, the feature provides direct, human-like answers to queries. It allows users to follow up with more detailed questions or multimedia inputs such as voice and images. The update aims to keep pace with the rising trend of longer, more conversational search phrases.

The tool first launched in the US and uses a ‘query fan-out’ method, breaking down complex questions into multiple search threads to create a combined answer from different sources.

While Google claims this will result in more meaningful site visits, marketers and publishers are worried about a growing trend known as ‘zero-click searches’, where users find what they need without clicking external links.

Research already shows a steep drop in engagement. Data from the Pew Research Centre reveals that only 8% of users click a link when AI summaries are present, nearly half the rate of traditional search pages. Experts warn that without adjusting strategies, many online brands risk becoming invisible.

Instead of relying solely on classic SEO tactics, businesses are being urged to adopt Generative Engine Optimisation. Using tools like schema markup, GEO focuses on conversational content, visual media, and context-aware formatting.

With nearly half of UK users engaging with AI search daily, adapting to these shifts may prove essential for maintaining visibility and sales.

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Tech giants back Trump’s AI deregulation plan amid public concern over societal impacts

Donald Trump recently hosted an AI summit in Washington, titled ‘Winning the AI Race,’ geared towards a deregulated atmosphere for AI innovation. Key figures from the tech industry, including Nvidia’s CEO Jensen Huang and Palantir’s CTO Shyam Sankar, attended the event.

Co-hosted by the Hill and Valley Forum and the Silicon Valley All-in Podcast, the summit was a platform for Trump to introduce his ‘AI Action Plan‘, comprised of three executive orders focusing on deregulation. Trump’s objective is to dismantle regulatory restrictions he perceives as obstacles to innovation, aiming to re-establish the US as a leader in AI exportation globally.

The executive orders announced target the elimination of ‘ideological dogmas such as diversity, equity, and inclusion (DEI)’ in AI models developed by federally funded companies. Additionally, one order promotes exporting US-developed AI technologies internationally, while another seeks to lessen environmental restrictions and speed up approvals for energy-intensive data centres.

These measures are seen as reversing the Biden administration’s policies, which stressed the importance of safety and security in AI development. Technology giants Apple, Meta, Amazon, and Alphabet have shown significant support for Trump’s initiatives, contributing to his inauguration fund and engaging with him at his Mar-a-Lago estate. Leaders like OpenAI’s Sam Altman and Nvidia’s Jensen Huang have also pledged substantial investments in US AI infrastructure.

Despite this backing, over 100 groups, including labour, environmental, civil rights, and academic organisations, have voiced their opposition through a ‘People’s AI action plan’. These groups warn of the potential risks of unregulated AI, which they fear could undermine civil liberties, equality, and environmental safeguards.

They argue that public welfare should not be compromised for corporate gains, highlighting the dangers of allowing tech giants to dominate policy-making. That discourse illustrates the divide between industry aspirations and societal consequences.

The tech industry’s influence on AI legislation through lobbying is noteworthy, with a report from Issue One indicating that eight of the largest tech companies spent a collective $36 million on lobbying in 2025 alone. Meta led with $13.8 million, employing 86 lobbyists, while Nvidia and OpenAI saw significant increases in their expenditure compared to previous years. The substantial financial outlay reflects the industry’s vested interest in shaping regulatory frameworks to favour business interests, igniting a debate over the ethical responsibilities of unchecked AI progress.

As tech companies and pro-business entities laud Trump’s deregulation efforts, concerns persist over the societal impacts of such policies.

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