#machinebias
Live, measured metrics for the hashtag #machinebias from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #machinebias
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.social (Mastodon public tags API) · fetched 2026-10-03 09:49 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.social (Mastodon public search API) · fetched 2026-10-03 09:49 UTCNo related tags with measured usage found for #machinebias.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-03 09:49 UTCEverything below is measured over the latest 34 public posts (spanning ~79799 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (31) · French (2) · German (1)
Avg boosts / post: 0.3
Top of the latest posts
PsyPost: Disclosing autism to AI chatbots prompts overly cautious, stereotypical advice. “When autistic people ask artificial intelligence programs for life advice, mentioning their diagnosis prompts these systems to recommend highly conser
The Register: Bad teacher bots can leave hidden marks on model students. “New research warns about the dangers of teaching LLMs on the output of other models, showing that undesirable traits can be transmitted ‘subliminally’ from teacher to
The Register: ChatGPT hates LA Chargers fans . “The reason, according to researchers affiliated with Harvard University, is that the model’s guardrails incorporate biases that shape its responses based on contextual information about the us
#machinebias across platforms
every network with a public tag surfaceFollow #machinebias 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/machinebias