#debias
Live, measured metrics for the hashtag #debias from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #debias
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 2026-10-18 08:18 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 2026-10-18 08:18 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-18 08:18 UTCEverything below is measured over the latest 5 public posts (spanning ~55206 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 2.8
Top of the latest posts
Continuing our #EverythingOpen schedule highlights, we present @minxdragon (Dr J. Rosenbaum), #AI #artist and #researcher, presenting their #PhD research into #AI perceptions of #gender. J will examine how to #debias #AI #systems, and how w
Dr Qianwen Duan joined international experts at the #DEBIAS Workshop and Symposium to help develop new standards for correcting bias in digital mobility data. Her work on improving the representation of rural communities will help make data
Continuing the attempt to #debias the success stories we (rightfully) report on social media: Just received a #reject. Time for that playlist today. And then rolling up the sleves again. But only tomorrow. #OnIt #sciencerocks #yesreally
What “debias” means
WikipediaDebiasing is the reduction of bias, particularly with respect to judgment and decision making. Biased judgment and decision making is that which systematically deviates from the prescriptions of objective standards such as facts, logic, and rational behavior or prescriptive norms. Biased judgment and decision making exists in consequential domains such as medicine, law, policy, and business, as well as in everyday life. Investors, for example, tend to exhibit the disposition effect by holding on
“Debiasing” on Wikipedia (CC BY-SA) →#debias across platforms
every network with a public tag surfaceFollow #debias 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/debias