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Chronicles

The story behind the story

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Formalizing the retweet may change people's behavior.

The microblogging and social networking site Twitter took off last year and had more than 44.5 million users worldwide as of June.  In the 140-character limited ecosystem of Twitter, users have evolved a language of their own …

Technology Review Kristina Grifantini

Context & Ripple Effects

Twitter's retweet began as user improvisation: within the 140-character ecosystem the service has no native resharing mechanism, so people bolted one on by hand-pasting 'RT @name' text. A May analysis catalogued seventeen distinct things people say when they retweet — credit, endorsement, mockery, archiving — showing how much meaning rides on a convention Twitter itself never designed.

Now, per Technology Review, Twitter is rumored (unconfirmed) to formalize the retweet as a built-in feature. The stakes are real at scale: the service passed 44.5 million worldwide users as of June, and earlier coverage like Tweeterboard already treated retweeting as a measurable signal of who matters on the network. If the platform owns the mechanic, it also owns what the signal means.

First-order effects

  • A native retweet control replaces hand-edited 'RT @name' strings, moving attribution from user-typed text to platform-generated data and collapsing the seventeen-variant folk taxonomy into one canonical act.

Second-order effects

  • Third-party tools that built value around reading retweets manually — ranking services like Tweeterboard, or clients that styled the 'RT' convention — would compete against a first-party metric Twitter controls and can restructure at will.

Third-order effects

  • If the pattern holds, Twitter converts each emergent user convention (hashtags, @replies, now the retweet) into an official feature, concentrating definition and measurement of social signals in the company rather than in community norms.

The trend: Social platforms are progressively absorbing their users' improvised conventions into official product, shifting attribution and measurement of social behavior from community practice to platform-controlled metadata.