Second Place Winners
Misinformation is everywhere, in social media, websites, and even face-to-face. It’s hard to know what to believe, and even harder to figure out what’s true.
Misinformation has severe consequences. It can lead to health scares, like the anti-vaccination movement. It can cause political instability, like the 2016 U.S. Presidential Election. It can even lead to murder, like the case of the Pizzagate conspiracy theory.
Existing solutions have failed due a number of reasons:
- Lack of accurate, up-to-date data: Most fact-checking organizations rely on manually collected data, which is often out-of-date or incomplete.
- Lack of centralized knowledge base: There is no central repository of fact-checked content, which makes it difficult to track the spread of misinformation and to identify new instances of misinformation.
- Lack of platform coverage: Most fact-checking organizations only operate on one platform (e.g. Facebook), making it difficult to reach users on other platforms (e.g. WhatsApp).
- Lack of scale: Fact-checking organizations are often small, with limited resources. They can only fact-check a limited number of claims.
- Lack of language coverage: Most fact-checking organizations only operate in one language, making it difficult to reach a global audience.
Our solution for all these problems is a multi-platform, multi-lingual, real-time fact-checking system powered by machine learning and graph technology.
FactChecker fights misinformation at scale powered by machine learning and graph technology.
- Large knowledge graphs of facts automatically harvested from the web
- Crawlers to automatically extract facts from the web
- iOS App to fact check information from Facebook, Twitter, Websites, and via voice
- Chrome extension to fact check websites
- Twitter bot to automatically monitor bad actors and fake tweets
- Fact spotter to extract relevant facts
- Semantic and reasoning-based fact checking