#InfluenceEstimation
Live, measured metrics for the hashtag #InfluenceEstimation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #influenceestimation
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 12:23 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 12:23 UTCNo related tags with measured usage found for #influenceestimation.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:23 UTCEverything below is measured over the latest 2 public posts (spanning ~5016 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 2.5
Used together with
Top of the latest posts
Influence estimation + Tree ensembles + Lots of empirical results = Our new paper in JMLR! My two favorite results: 1. TracIn is easily adapted to trees, and works great. 2. In some settings, approximate influence estimates are much better
In #AdversarialML, targeted training set attacks are one of the biggest threats to #MachineLearning -- highly effective and hard to detect! In a #NewPaper at #CCS2022 this week, Zayd Hammoudeh and I show how you can use #InfluenceEstimation
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/influenceestimation