#anonymization
Live, measured metrics for the hashtag #anonymization from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #anonymization
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 2026-10-21 02:06 UTC1 uses by 1 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 2026-10-21 02:06 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-21 02:06 UTCEverything below is measured over the latest 40 public posts (spanning ~32567 hours).
Posting hours (UTC) — busiest: 22:00
Languages: English (30) · Russian (2) · French (2) · German (2) · Czech (1) · Portuguese (1)
Avg boosts / post: 1.7
Top of the latest posts
Documenting the #17octobre demonstrations in France on Wikimedia Commons, I was quite happy to find the anonymization tool deface https://github.com/ORB-HD/deface The low resolution is my fault (forgot to change the setting, so all my recor
@dalias @blakereid Yep. All those who can should be hosting nodes for #anonymization networks. The network is stronger and safer the larger it is. This goes for #I2P and for #Tor. Sites also should actively support use of those networks, wi
🐧 Vyšla distribuce Tails 7.0: rychlejší start, jednoduchost a anonymizace s Torem 🔗 https://infoek.cz/vysla-distribuce-tails-7-0-rychlejsi-start-jednoduchost-a-anonymizace-s-torem-2025/ 🐧 Tails 7.0 distribution released: faster startup,
What “anonymization” means
WikipediaData anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous.
“Data anonymization” on Wikipedia (CC BY-SA) →#anonymization across platforms
every network with a public tag surfaceFollow #anonymization 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/anonymization