#datafeminism
Live, measured metrics for the hashtag #datafeminism from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #datafeminism
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 · mas.to (Mastodon public tags API) · fetched 2026-10-29 00:57 UTC0 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 2026-10-29 00:57 UTCNo related tags with measured usage found for #datafeminism.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-29 00:57 UTCEverything below is measured over the latest 40 public posts (spanning ~13739 hours).
Posting hours (UTC) — busiest: 08:00
Languages: German (24) · English (16)
Avg boosts / post: 3.8
Top of the latest posts
edited by Michelle Cotton – Radical Software: Women, Art & Computing 1960–1991 https://neural.it/77/015 #radicalsoftware #machinevision #neuralarchive #neuralmag #womenintechnology#mediaarthistory #digitalpioneers #digitalheritage #retrofut
When #DataFeminism came out in 2020, it felt like a perfect match for Digital Humanities. Here was a framework that took data seriously as a site of power, bias, and politics: exactly the kind of concerns some #dh scholars have been circlin
I am very pleased to share that Data Design + Art first public lecture will host none other than Catherine D'Ignazio. Like for many others, Catherine D'Ignazios work, for example the seminal book «Data Feminism» (MIT Press 2020), co-authere
#datafeminism across platforms
every network with a public tag surfaceFollow #datafeminism 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/datafeminism