Best Free Disinformation Detection Tools

Maltego is a Java application that runs on Windows, Mac and Linux. Maltego is used by a broad range of users, ranging from security professionals to forensic investigators, investigative journalists, and researchers. Easily gather information from dispersed data sources. View up to 1 million entities on a graph​. Access over 58 data sources in the Maltego transform hub. Connect public (OSINT), commercial and own data sources. Write your own Transforms. Automatically link and combine all information in one graph. Automatically combine disparate data sources in point-and-click logic​. Use our regex algorithms to auto-detect entity types. Enrich your data through our intuitive graphical user interface​. Use entity weights to detect patterns even in the largest graphs. Annotate your graph and export it for further use.

ActiveFence is the leading Trust and Safety provider for online platforms, protecting over three billion users from malicious behavior and content daily. Trust and Safety teams of all sizes rely on ActiveFence to keep their users safe from the widest spectrum of online harms, including child abuse, disinformation, hate speech, terror, fraud, and more. We offer a full stack of capabilities with our deep intelligence research, AI-driven harmful content detection and moderation platform. ActiveFence protects platforms globally, in over 100 languages, letting people interact and thrive safely online.

Fakespot protects you from getting ripped off when shopping online. Join the secure shopping revolution and get the the truth about products, reviews, and sellers before you buy. Fakespot has your back when you’re shopping online at home or on mobile. Fakespot’s new browser app allows you to browse the open-web and when you land on sites that we support you will have Fakespot's features enabled to help you make informed purchase decisions. Share via other shopping apps and browsers, Share to analyze functionality is still included for users coming from our previous app. Since Fakespot’s inception, we have analyzed over 9 billion product and seller reviews. Our analysis helps you make informed decisions so you love everything you buy and never return anything. Fakespot also stays one step ahead of emerging threats by always updating our algorithms to protect you as you shop. Fakespot is safe, secure shopping that saves time, money, and headaches.

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.

We designed Bot Sentinel to be simple to use and as informative as possible. We publicly display detailed information about Twitter accounts the platform is tracking to give visitors of this website a better understanding of how nefarious accounts spread disinformation and target other accounts. We try to be as transparent as possible and give visitors as many data points as possible. Bot Sentinel is a non-partisan platform; we track all accounts. The platform uses machine learning and artificial intelligence to classify Twitter accounts and add the accounts to a publicly available database that anyone can browse. We trained Bot Sentinel to classify Twitter accounts using thousands of accounts and millions of tweets for our machine-learning model. The system can correctly classify accounts with an accuracy of 95%. Unlike other machine learning tools designed to detect “bots,” we are focusing on specific behaviors and activities deemed inappropriate by Twitter rules.