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Twitter overhauls trending topics, adds more contextual information

At the scene of the crime: Twitter can now provide more context about this breaking news story. Twitter has completely overhauled the algorithms and systems it uses to calculate trends as part of a recent upgrade that also saw it add more details about trending topics. In a post on its Engineering Blog, in what […]
Twitter overhauls trending topics, adds more contextual information

At the scene of the crime: Twitter can now provide more context about this breaking news story.

Twitter has completely overhauled the algorithms and systems it uses to calculate trends as part of a recent upgrade that also saw it add more details about trending topics.

In a post on its Engineering Blog, in what Twitter describes as โ€œthe largest engineering undertaking of the trends system since 2008โ€, the social media giant said it has overhauled the underlying back-end platforms used to uncover trending topics.

The old trends system ran on a single Java Virtual Machine, which Twitter says could โ€œonly process a small window of Tweets at a timeโ€. By contrast, the new platform, based on Apache Storm and MapReduce, produces far more sophisticated results in real-time.

Because of these underlying changes, Twitter will now show users more contextual information about trending topics, including a description, a photo, the volume of tweets and retweets, as well as when a topic began trending.

Twitter says the new platform allows it to automatically recompute and update this contextual information every few minutes in order to reflect โ€œthe current state of affairsโ€, and that it intends to โ€œimprove the quality of trends in multiple waysโ€ in the future.

The changes to trending topics comes just days after Twitter announced a new partnership with Google that will see relevant content from Twitter appear alongside Google search results.