What is Skeptic Reader?
Skeptic Reader is a Chrome and Firefox plugin designed to detect biases and logical fallacies in real-time as you browse the web. Powered by Mistral Small 4, this tool acts as a personal bullshit detector, helping you navigate the noise of misinformation and sensationalism. It highlights questionable reasoning, hidden assumptions, and manipulative language, empowering you to read critically and make informed decisions.
Features include real-time analysis of web pages, visual indicators for detected fallacies and biases, and a clean, non-intrusive interface. The plugin scans text for common logical fallacies like ad hominem, straw man, false dilemma, and slippery slope, as well as cognitive biases such as confirmation bias, anchoring, and bandwagon effect. Each detection comes with a brief explanation, helping you understand why a statement might be misleading.
Benefits extend beyond personal use: educators can integrate it into classrooms to teach critical thinking, journalists can verify their own work, and researchers can analyze media trends. It’s ideal for anyone who wants to cut through propaganda, clickbait, and spin. Technical details: the plugin uses a lightweight local AI model for privacy, ensuring no data leaves your browser. It works on any webpage and updates automatically.
Use cases include fact-checking news articles, evaluating political speeches, analyzing social media posts, and improving academic research. Skeptic Reader is an experimental project by Domestic Data Streamers, a Barcelona-based collective blending data science, journalism, and design. It’s a beta test inviting collaboration with universities and researchers to explore how AI can foster better questions rather than just generating answers. Join us in pushing the boundaries of media literacy.
Use Cases
Key Features
real time bias detection logical fallacy identification visual indicators non intrusive interface ad hominem detection straw man detection false dilemma detection slippery slope detection confirmation bias detection anchoring detectionWho is it for?
educators, journalists, researchers, students, fact, checkers, critical thinkers
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