#copyediting
Live, measured metrics for the hashtag #copyediting from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #copyediting
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-15 13:44 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-09-15 13:44 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-15 13:44 UTCEverything below is measured over the latest 40 public posts (spanning ~8579 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (40)
Avg boosts / post: 0.7
Top of the latest posts
Confronted by a sentence whose 3-word predicate follows a 64-word subject containing 4 nested subordinate clauses. I'm going in. *cracks knuckles* #AmEditing #copyediting #syntax #editing #writing #grammar
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Interesting study comparing copyediting by ChatGPT vs Grammarly vs human editor. The LLM app made 4 times as many "corrections" as the human, but only 61% of its edits improved the text: https://journals.plos.org/plosone/article?id=10.1371/
What “copyediting” means
Wiktionary · Wikipediacopyediting
- nounThe correction of the spelling, grammar, formatting, etc. of printed material and preparation of it for typesetting, printing, or online publishing.
Copy editing is the process of revising written material ("copy") to improve quality and readability, ensuring that a text is free of errors in grammar and style and that it is accurate. The Chicago Manual of Style states that manuscript editing encompasses "simple mechanical corrections through sentence-level interventions to substantial remedial work on literary style and clarity, disorganized passages, baggy prose, muddled tables and figures, and the like ". In the context of print publicatio
“Copy editing” on Wikipedia (CC BY-SA) →#copyediting across platforms
every network with a public tag surfaceFollow #copyediting straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/copyediting