BuloCheck: Technical Practice of Real-Time Fake News Identification Using AI Browser Extension

BuloCheck is a Chrome browser extension that uses fine-tuned Large Language Models (LLMs) to provide ordinary users with instant news credibility assessment. It aims to address the predicament in the information age where fake news spreads rapidly, traditional fact-checking lags behind, and users lack professional verification tools. Through seamless integration on the browser side, users can obtain analysis results without leaving the page, lowering the threshold for use and providing a new technical approach for false information governance.

In today's era of information explosion on social media and news websites, fake news (called "bulo" in Spanish) has become a global social problem. From political rumors to health misinformation, it not only affects public perception but also may cause actual social harm. Traditional fact-checking methods often lag behind the speed of spread, and ordinary users lack professional tools to quickly verify the authenticity of information. Against this background, the BuloCheck project was born to provide users with instant news credibility assessment using AI technology.

BuloCheck is positioned as a Chrome extension for end-users, with advantages including: obtaining analysis results without leaving the current page, simple installation and deployment (download from Chrome Web Store), and lowering the threshold for non-technical users. The core technical highlight is domain-specific fine-tuning of LLMs—optimizing the model for the task of true/fake news classification, making it focus on fake information features such as exaggerated titles, lack of sources, and emotional language; through fine-tuning pre-trained models, only thousands of labeled samples are needed to improve accuracy, transforming it into a specialized credibility assessment tool.

The user experience of BuloCheck is intuitive: when users browse news, the extension can automatically or on-demand analyze page content and provide credibility scores or classification results. Using the Chrome extension form instead of an independent application fits the user's reading scenario, allowing AI-assisted analysis without switching apps, greatly reducing usage costs, and complying with the best practice of modern browser extensions being "use-and-go".

BuloCheck has a wide range of application scenarios: ordinary netizens can quickly verify the authenticity of news; news practitioners can use it as an auxiliary review tool; in the education field, it can be used to cultivate students' media literacy. Macroscopically, it represents a positive exploration of AI in social governance—sinking AI capabilities to the user end, forming a distributed fact-checking network, and providing a new solution for false information governance.

BuloCheck has limitations: the browser extension form is limited by model size and computing resources, so it cannot run the largest LLMs; fake news detection is a dynamic adversarial process that requires continuous model updates. However, with the popularization of WebGPU and the development of model compression technology in the future, the accuracy and response speed of such tools are expected to be further improved, showing a clear direction for AI capabilities to integrate into daily information consumption with minimal invasiveness.

The BuloCheck project is not large in scale, but its technical route and application scenarios are typical—it transforms cutting-edge AI technology into tools accessible to ordinary people, providing technical solutions for the pain points of false information. For AI application developers, it provides valuable reference ideas in model fine-tuning, browser extension development, user experience design, etc.