Can crowdsourcing truth bridge the gap in a polarized digital world?
Instead of centralized tech companies deciding what is true, what if users fact-checked each other? This video explores how the Community Notes system on X uses a unique algorithm to provide context to misleading posts and reduce the spread of viral misinformation.
In conversation with TED guest curator Audrey Tang, builders Jay Baxter and Keith Coleman discuss the mechanics behind the crowdsourced system. They explain how the program's design aims to reduce viral misinformation by adding context to posts rather than simply removing them.
The discussion delves into the 'surprising agreement' algorithm, a mechanism designed to find common ground across a highly polarized internet. The creators explore why people from various political spectrums can find trust in this decentralized approach to fact-checking.
Source: Keith Coleman and Jay Baxter: How Community Notes reduce viral misinformation
