#languagelog
Live, measured metrics for the hashtag #languagelog from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #languagelog
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 2026-10-18 09:11 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 2026-10-18 09:11 UTCNo related tags with measured usage found for #languagelog.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-18 09:11 UTCEverything below is measured over the latest 16 public posts (spanning ~13431 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (16)
Avg boosts / post: 0
Top of the latest posts
Are you a #language #nerd? Do you love #etymology? Do the #cultural and #historical influences on language fascinate you? The #LanguageLog is an #academic playground of language information. Been around a couple decades. Great source of int
On days like yesterday, I'm happy to not own stock - besides what my employer is giving as part of the contract. The comic quoted by #languagelog is just right: https://languagelog.ldc.upenn.edu/nll/?p=65290
#LanguageLog Weekly Minutes Roundup (August 7-13): Japanese: 197 (3.3 hours) French: 39 (0.65 hours) Korean: 36 (0.6 hours) Spanish: 62 (1.03 hours) Cumulative totals (since July 7): Japanese: 948 (12.5 hours) French: 328 (5.5 hours) Korean
What “languagelog” means
WikipediaLanguage Log is a collaborative language blog maintained by Mark Liberman, a phonetician at the University of Pennsylvania.
“Language Log” on Wikipedia (CC BY-SA) →#languagelog across platforms
every network with a public tag surfaceFollow #languagelog 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/languagelog