Today, we use policies, human review processes, and machine learning to help us determine how Tweets are organized and presented in communal places like conversations and search. Now, we’re tackling issues of behaviors that distort and detract from the public conversation in those areas by integrating new behavioral signals into how Tweets are presented. By using new tools to address this conduct from a behavioral perspective, we’re able to improve the health of the conversation, and everyone’s experience on Twitter, without waiting for people who use Twitter to report potential issues to us.
I’m glad to see Twitter taking some action on this issue—we’ll have to wait to see how it works out. It’s a shame that a small number of people can have such a huge affect on their experience on the platform.