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YouTube-Tools Uses AI to ‘Identify’ YouTube Users Based on Their Comments

A new service called YouTube-Tools has drawn significant attention - and criticism - for its ability to analyze users’ comments on YouTube and extract sensitive personal information. For a subscription fee of approximately $20 per month, the tool generates detailed reports on individuals, including their likely geographic location, spoken languages, and even political leanings. All it takes is an email address and a bank card to register for the service.

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How the YouTube-Tools Service Works

YouTube-Tools leverages a modified version of a large language model developed by Mistral, an AI company known for its advanced capabilities. By analyzing patterns in users’ public comments, the tool can infer identifying details about them. For instance, during a test conducted by the 404 Media website, the system processed dozens of comments from a random user and concluded that the individual likely resides in Italy based on references to Italian culture and language. It also noted engagement with cultural debates but refrained from assigning specific political affiliations due to a lack of overt statements.

Intended Use vs. Accessibility Loopholes

The developers of YouTube-Tools claim the platform is designed for use by private investigators, journalists, and law enforcement personnel. However, critics argue that its accessibility raises ethical concerns. Despite requiring users to agree to terms of service restricting usage to "legitimate purposes," the site reportedly grants access before verifying credentials. Journalists at 404 Media were able to create an account and begin generating reports within minutes of payment, highlighting potential loopholes in the vetting process.

Data Scale and Policy Violations

According to the developers, YouTube-Tools has access to an extensive database comprising 1.4 billion users and 20 billion comments - though this figure represents less than half of YouTube’s total user base of over 2.5 billion. Critics point out that the tool appears to violate YouTube’s privacy policy, which explicitly prohibits unauthorized scraping of user-generated content. Public search engines are required to adhere to guidelines outlined in YouTube’s robots.txt file or obtain prior written consent. This discrepancy raises questions about accountability and the measures YouTube takes to protect user data.

Developer Safeguards and Limitations

In response to suspicious activity, the developers assert they reserve the right to revoke access. For example, a recent case involved a user who registered using a temporary email address. When contacted for clarification, the individual ignored inquiries, prompting the developers to report the incident to Stripe and terminate the account. Despite these safeguards, the ease with which accounts can be created has led many to question whether these measures are sufficient.

A Growing Trend Across Online Platforms

YouTube-Tools is not an isolated phenomenon. Similar services exist for other online platforms, such as Kick-Tools, and Twitch-Tools. These tools mine comment histories and chat logs to build profiles on users across various websites. Together, they highlight a growing trend of AI-driven technologies exploiting publicly available data to construct detailed - and potentially invasive - portraits of individuals.

As the debate over digital privacy intensifies, the emergence of YouTube Tools serves as a stark reminder of the vulnerabilities inherent in sharing personal opinions online. While proponents argue that such technologies can aid investigations, opponents warn of the risks posed by unchecked data aggregation and profiling.

Source: 404media via Habr

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Author: Sergey Tkachenko

Sergey Tkachenko is a software developer who started Winaero back in 2011. On this blog, Sergey is writing about everything connected to Microsoft, Windows and popular software. Follow him on Telegram, Twitter, and YouTube.

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