#AffectiveComputing

Live, measured metrics for the hashtag #AffectiveComputing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
34
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 34
0.1
Avg reactions / post
Mastodon · last 34

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-27 10:20 UTC
1
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

1 uses by 1 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 2026-07-27 10:20 UTC

No related tags with measured usage found for #affectivecomputing.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 10:20 UTC

Everything below is measured over the latest 34 public posts (spanning ~46846 hours).

Posting hours (UTC) — busiest: 07:00

00:0012:0023:00

Languages: English (23) · Italian (5) · German (4) · Polish (1) · Portuguese (1)

Avg boosts / post: 0.7

Top of the latest posts

  • In addition to Didith Rodrigo, you might want to search for: Art Graesser, Sidney D'Mello, Ryan Baker, Beverly Woolf, Ivon Arroyo, Roger Azevedo, Scotty Craig, Jaclyn Ocumpaugh, Ben du Boulay, Genaro Rebolledo Mendez #AffectiveComputing #Ed

    Joseph A di Paolantonio@[email protected]112024-09-21 04:04 UTCView post →
  • A friend of @czds and me, Didith Rodrigo, posted an interesting take on affective computing and educational technology. Unfortunately, a link to the post isn’t possible. Dr. Rodrigo teaches at Ateneo University in The Philippines 🇵🇭 Here’

    Joseph A di Paolantonio@[email protected]112024-09-21 04:04 UTCView post →
  • Deeply honored to receive the Best Dissertation Award from @affectScience It has been a tremendous joy to develop these ideas with @rebecca_saxe, who was involved in every aspect of my thesis. I'm beyond grateful to Rebecca and Josh Tenenba

    dae houlihan@dae102023-04-14 21:22 UTCView post →

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/affectivecomputing