There are numerous Topics across many categories on Twitter to follow through the Topic browser. We’re working hard to add new Topics almost each week. How do we choose which Topics to offer? They’re based on the volume and health of conversations happening on Twitter. For volume, we look at how much people are Tweeting, Retweeting, replying, and liking Tweets about that Topic.
We want Topics on Twitter to reflect the broader, lasting conversations people have about the events, people, and things they discuss. So we use machine learning to find related Tweets from these conversations. This could mean they Tweet a lot about the Topic or interact a lot with Tweets about the Topic. From there, we find the Tweets that are most interesting to those people, using algorithms, keywords, and additional signals.
We’ve implemented a number of protections to help keep conversations included in a Topic healthy and free from abuse –– including working to not recommend Tweets for a Topic if the engagement is manipulated or spammy.