#bias2023
Live, measured metrics for the hashtag #bias2023 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bias2023
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-05 03:00 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-05 03:00 UTCNo related tags with measured usage found for #bias2023.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-05 03:00 UTCEverything below is measured over the latest 2 public posts (spanning ~553 hours).
Posting hours (UTC)
Languages: French (1) · English (1)
Avg boosts / post: 0.5
Used together with
Top of the latest posts
In two days, François Hu will present our joint work at #ECML2023 https://2023.ecmlpkdd.org/program/paper-session-overview/program-21-september-2023/ paper online at https://arxiv.org/abs/2306.10155 in a session on Fairness, and https://arx
This year's Bucharest International Air Show brought together over 100 civil and military aircraft, 150 pilots and paratroopers, displaying civil and military aircraft from Romania and other states at Bucharest International Airport. http:/
What “bias2023” means
Wiktionary · Wikipediabias/ˈbaɪəs/
- nounInclination towards something; predisposition, partiality, prejudice, preference, predilection.
- verbTo place bias upon; to influence.
Bias is a disproportionate weight in favor of or against an idea or thing, usually in a way that is inaccurate, closed-minded, prejudicial, or unfair. Biases can be innate or learned. People may develop biases for or against an individual, a group, or a belief. In science and engineering, a bias is a systematic error. Statistical bias results from an unfair sampling of a population, or from an estimation process that does not give accurate results on average.
“Bias” on Wikipedia (CC BY-SA) →#bias2023 across platforms
every network with a public tag surfaceFollow #bias2023 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/bias2023