Tech
Cambridge Index Reveals Global Black Market for Fake Social Media Verifications
A new index developed by the University of Cambridge has revealed the scale and affordability of the underground market for fake social media account verifications, raising fresh concerns about online manipulation and digital security. According to researchers, fake verification badges can be purchased for as little as eight cents, enabling the rapid creation of networks that imitate authentic users across major online platforms.
The Cambridge Online Trust and Safety Index (COTSI), launched on Thursday, is described as the first global tool capable of tracking real-time prices for verifying fraudulent accounts. The index monitors more than 500 platforms, including TikTok, Instagram, Amazon, Spotify and Uber. By analysing data from sellers operating across the dark web and black-market channels, the project highlights how accessible and inexpensive these services have become.
Researchers say the low cost of creating fake accounts is contributing to the rise of “bot armies” — large groups of automated or semi-automated profiles designed to mimic genuine human activity. These networks can distort online conversations, amplify misleading content, and promote scams or commercial products. They can also be deployed to influence political messaging, creating an illusion of public support or opposition during major events such as elections or policy debates.
The team behind the index said the findings come at a sensitive time for governments and regulators working to contain misinformation. Many popular platforms have reduced investment in content monitoring during the past two years, while others have introduced programmes that reward users for generating high volumes of engagement. Researchers warn that such incentives may encourage the use of artificially inflated interactions, making fake accounts even more valuable to those seeking influence.
According to Cambridge analysts, the market for fraudulent verification has become highly sophisticated. Sellers offer tiered packages, guaranteeing features such as blue-badge symbols, verified rankings or the appearance of longstanding account history. Prices vary by platform and country, but the index shows that even the most complex packages remain within easy reach for groups attempting to manipulate public debate or carry out coordinated campaigns.
The launch of COTSI marks the first attempt to document these prices on a global scale. By presenting live data on the cost of creating fake identities, researchers hope to give policymakers, technology companies and security agencies a clearer picture of how digital manipulation is evolving. The study’s authors stress that tracking these markets is essential for understanding the risks posed by unauthenticated accounts, particularly during periods of political tension.
The university said the index will be updated regularly and will remain publicly accessible as part of its efforts to strengthen digital transparency worldwide.
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
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