Twitter tests algorithmically curated timelines for big news events, promoting them at the top of users' timelines, similar to its News tab tested in 2015
Alex Kantrowitz / BuzzFeed :
Context & Ripple Effects
This test is the third act in a familiar Twitter pattern. In August 2015 the company ran an experimental News tab that surfaced tweets from pre-approved publishers, and by February 2016 it had rolled out a full algorithmic timeline that put recommended — not newest — tweets at the top of the feed, with an opt-out for users who objected.
The new experiment narrows that curation to specific big news events rather than the whole timeline, and BuzzFeed's related reporting shows where it was headed: by June 2018 Twitter was preparing dedicated event pages with tweets and videos promoted across notifications and the Explore tab. The through-line is Twitter packaging its real-time firehose into editorially shaped products.
First-order effects
- Users testing the feature see algorithmically assembled event coverage pinned above their normal timeline, meaning Twitter's ranking system — not reverse chronology — decides what leads during breaking news.
- Publishers whose tweets are selected into these event timelines gain outsized reach at exactly the moments attention spikes, while those left out lose visibility they would have gotten organically.
Second-order effects
- Because selection is algorithmic but shaped around events, competition among newsrooms shifts toward optimizing for Twitter's curation signals during live stories, echoing the publisher-dependent structure of the 2015 News tab's pre-approved list.
- The test laid groundwork for the dedicated event pages announced months later, extending promotion beyond the timeline into notifications and Explore — more surface area means more inventory Twitter controls.
Third-order effects
- If the pattern holds, Twitter keeps layering algorithmic intermediation onto the chronological feed despite recurring user pushback each time — each iteration making the platform's ranking choices, not users' follows, the primary distribution mechanism.
- Structurally, this points toward platforms competing as packaged-news destinations rather than raw feeds, with the power to elevate or bury coverage during major events concentrated in the recommendation system.
The trend: Twitter is incrementally converting its real-time timeline into algorithmically curated news products, moving from 'while you were away' recaps to event-level packaging.