Co-founder and CEO of Periscope, Kayvon Beykpour, speaks onstage during TechCrunch Disrupt NY 2015.
Noam Galai | Getty Images | TechCrunch
After topics on Twitter is a chaotic experience. You type in a matter of curiosity, such as a specific sports team or an event, and your feed fills up with all sorts of irrelevant articles alongside the content that you desire.
Twitter recognizes the issue and is presently working to repair it. On Tuesday, the company stated that it is using machine learning technologies to filter out the noise and permit users to follow certain topics and see high-quality articles.
“The key thing here is to make it as easy to follow an interest as it is to follow an account,” said Sriram Krishnan, Twitter’s senior manager of product management, in an event at the firm’s San Francisco headquarters.
Cleaning up the user experience is just one of Twitter’s key challenges as it attempts to keep consumers engaged. Last month, the company rolled out a redesigned homepage designed to make an”accessible and universal approach to combine the discussions [people] care about.”
That followed an earnings report, where Twitter reported better-than-expected earnings and beat estimates for monetizable daily active users, or individuals who may be shown an advertisement on the program or website. The mDAUs figure rose 14percent to 139 million. The stock is up 45% this past year.
The new follow attribute is already being tested with a few users of Twitter’s Android program and will be released to users from the end of the year, stated Kayvon Beykpour, Twitter’s product lead, at Tuesday’s event.
After users follow a subject they care about, the new feature will show them a feed of applicable tweets from numerous accounts curated by Twitter’s algorithms. It will initially be focused on sports issues.