#identifyingAI
Live, measured metrics for the hashtag #identifyingAI from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #identifyingai
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 2026-07-27 09:54 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 2026-07-27 09:54 UTCNo related tags with measured usage found for #identifyingai.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 09:54 UTCEverything below is measured over the latest 5 public posts (spanning ~10278 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 0
Top of the latest posts
Ars Technica: Google’s SynthID AI watermarking tech is being adopted by OpenAI, Nvidia, and more. “How can we know what’s real in the age of AI? Google’s answer is SynthID, which it first demonstrated three years ago. The company says Synth
Mashable: How to identify AI-generated videos online. “Navigating the AI slop-infested web requires using your online savvy and good judgment to recognize when something might be off. It’s your best defense against being duped by AI deepfak
Carnegie Mellon University: CMU Study Shows Large Language Models Have Distinctive Styles. “In a recent study, Carnegie Mellon University researchers found they could use characteristic word choices to determine which large language model (
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/identifyingai