#OverCorrection
Live, measured metrics for the hashtag #OverCorrection from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #overcorrection
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 · mas.to (Mastodon public tags API) · fetched 2026-10-11 00:49 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-11 00:49 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-11 00:49 UTCEverything below is measured over the latest 3 public posts (spanning ~3307 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0.7
Top of the latest posts
PsyPost: AI models are far more susceptible to misleading nudges than humans, study shows. “A recent study published in the Proceedings of the National Academy of Sciences provides evidence that AI agents overreact to minor cues in their en
https://www.europesays.com/people/38239/ Anthropic’s moral compass architect suggested AI overcorrection could address historical injustices #AmandaAskell #Anthropic #BlackStudents #DarioAmodei #HumanBehaviors #MoralCompass #overcorrection
A quotation from Horace Dear sire, and offspring worthy of your fire! We bards are dupes to what ourselves admire. Would I be brief — I grow confused and coarse; Who aims at smoothness, fails in fire and force; In him who soars aloft, bomba
What “overcorrection” means
WikipediaIn sociolinguistics, hypercorrection is the nonstandard use of language that results from the overapplication of a perceived rule of language-usage prescription. A speaker or writer who produces a hypercorrection generally believes through a misunderstanding of such rules that the form or phrase they use is more "correct", standard, or otherwise preferable, often combined with a desire to appear formal or educated.
“Hypercorrection” on Wikipedia (CC BY-SA) →#overcorrection across platforms
every network with a public tag surfaceFollow #overcorrection 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/overcorrection