#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.

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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.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-09-14 09:15 UTC
0
09-08
0
09-09
0
09-10
0
09-11
0
09-12
0
09-13
0
09-14

0 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 2026-09-14 09:15 UTC

No related tags with measured usage found for #influenceestimation.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-09-14 09:15 UTC

Everything below is measured over the latest 2 public posts (spanning ~5016 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 3

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

    Daniel Lowd@[email protected]012023-06-08 04:55 UTCView post →
  • 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

    Daniel Lowd@[email protected]052022-11-11 04:54 UTCView post →

#influenceestimation across platforms

every network with a public tag surface

Follow #influenceestimation 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/influenceestimation