Audience
Journalists needing a tool to verify information while conducting research online
About FactSnap
FactSnap is a Chrome extension that serves as a reliable fact-checking companion, allowing users to verify information while browsing the web. By highlighting text and clicking the FactSnap icon, users receive immediate feedback on the accuracy of statements, categorized as accurate, suspicious, or incorrect. The tool leverages AI to compare claims against relevant online sources, promoting critical thinking and helping combat the spread of misinformation. FactSnap does not require users to create an account and is designed with user privacy in mind, processing and collecting data related to usage without storing personal data unless explicitly provided. It utilizes third-party tools such as Groq, Llama 3, exa.sh, and GPT-4o for fact-checking, each adhering to its own data privacy standards. Developed by Studio NAND, FactSnap is part of the AI4Democracy initiative, aiming to foster a healthier, more informed society.
Other Popular Alternatives & Related Software
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Online disinformation and fake media content have emerged as a serious threat to democracy, economy and society. Content verification at scale and in near real-time is currently far from trivial, even for experienced journalists, fact-checkers, human rights activists or media literacy scholars. The WeVerify project aims to develop intelligent human-in-the-loop content verification and disinformation analysis methods and tools. Social media and web content will be analyzed and contextualized within the broader online ecosystem, in order to expose fabricated content, through cross-modal content verification, social network analysis, micro-targeted debunking, and a blockchain-based public database of known fakes.
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Logically Accelerate
Logically Accelerate is an advanced AI product designed to expedite the identification and evaluation of potentially harmful and viral content across 57 languages. It automates the discovery phase of fact-checking by transcribing videos, performing claim extraction analysis, and assigning fact-check worthiness scores. Logically Accelerate also provides overviews of related fact checks conducted by Logically Facts and suggests a range of videos for review without requiring fact-checkers to watch every video. By assigning urgency scores based on factors such as claim novelty and recency, Logically Accelerate helps avoid duplication of work and ensures that fact-checkers focus on the most relevant content. It is particularly useful for video verification and investigation, offering a user-friendly interface and efficient extraction of potential misinformation content from videos.
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Genaios
Genaios offers tools that empower users to verify the authenticity of online content swiftly. Their AI-driven solutions include a Chrome plugin and web application designed for fact-checking and AI-text detection. The fact-checking feature automatically retrieves sources that support or refute specific claims, aiding in the identification of misinformation and disinformation. The AI-text detection tool determines whether a text was authored by a human or generated by AI, identifying the specific large language model family, such as GPT, Llama, or Copilot. This functionality is particularly useful for uncovering AI-generated reviews in online shops and bot-written comments on social media. Both tools currently support English, German, and Spanish, with plans to expand to additional languages. Our mission is to encourage critical thinking with AI and also detect whether a text has been written using AI.
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ClaimBuster
ClaimBuster is the umbrella under which all fact-checking related projects for the IDIR Lab fall under. It started as an effort to create an AI model that could automatically detect claims worth checking. Since then it has steadily made progress towards the holy grail of automated fact-checking. ClaimBuster is mainly used by journalists, but in reality, anyone interested in tackling misinformation can make use of it. Our API provides easy access to our models and is accessible by just registering for a free API key. ClaimBuster is made possible by human data-labeling contributions. Feel free to sign up for an account and begin labeling to help us deliver better models. We have also open-sourced our machine learning model training code, so if you are a savvy AI engineer feel free to make contributions there as well. Our claim-spotting model re-tweets tweets it thinks may need fact-checking.
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FactSnap
factsnap.nand.io
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