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Chronicles

The story behind the story

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Study: Twitter users are retweeting and liking tweets with over 140 characters almost twice as much as shorter ones

Given the deluge of complaints about Twitter's 280-character limit when it debuted this fall, you'd think people would be ignoring the new, lengthier tweets.

BuzzFeed Alex Kantrowitz

Context & Ripple Effects

Twitter's move past 140 characters followed a long runway: reports in 2015 of a product for sharing tweets longer than 140, then the September 2017 280-character test for some users, then the November worldwide rollout excluding Chinese, Japanese, and Korean. Complaints about the change were loud enough that BuzzFeed's engagement data lands as a direct rebuttal.

The study matters because it tests the core objection — that length would dilute the timeline — with behavior rather than sentiment. A year later, Twitter's own numbers would show most users barely used the extra room, averaging just 33 characters per tweet.

First-order effects

  • Users posting beyond 140 characters are seeing nearly double the retweets and likes of shorter tweets, giving early adopters of the new limit a measurable engagement edge right as the global rollout completes.

Second-order effects

  • Brands, publishers, and power users who optimize for engagement have an incentive to write longer tweets, shifting timeline composition even though the median user's habits stay short — the gap the one-year follow-up later quantified at a 33-character average.

Third-order effects

  • If engagement rewards length while most users stay terse, Twitter's constraint-loosening becomes self-reinforcing: display names doubled to 50 characters weeks after the rollout, and the endpoint visible in the corpus is 4,000-character tweets for Blue subscribers truncated back to 280 in timelines — brevity ceasing to be the product's defining rule.

The trend: Twitter is steadily dismantling its brevity constraints — character limits on tweets, then display names, then paid tiers — because engagement data keeps validating each expansion faster than user complaints can push back.