#imageability
Live, measured metrics for the hashtag #imageability from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #imageability
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 2026-10-27 20:24 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 2026-10-27 20:24 UTCNo related tags with measured usage found for #imageability.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-27 20:24 UTCEverything below is measured over the latest 2 public posts (spanning ~2.5 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0.5
Top of the latest posts
🧠📊 How can we measure imageability in literary texts? The authors approach how words evoke sensory experience and test whether multimodal #WordEmbeddings can better capture #imageability, #visuality, and #concreteness than text-only model
🆕 New issue, new article! We’re excited to open JCLS 2026, 5(1) with its very first publication: “Encoding Imagism? Measuring Literary #Imageability, #Visuality and #Concreteness via Multimodal Word #Embeddings” by Bizzoni, Feldkamp & Niel
What “imageability” means
WikipediaImageability is a measure of how easily a physical object, word or environment will evoke a clear mental image in the mind of any person observing it. It is used in architecture and city planning, in psycholinguistics, and in automated computer vision research. In automated image recognition, training models to connect images with concepts that have low imageability can lead to biased and harmful results.
“Imageability” on Wikipedia (CC BY-SA) →#imageability across platforms
every network with a public tag surfaceFollow #imageability 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/imageability