#PrivacyParadox

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
10
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 10
0.2
Avg reactions / post
Mastodon · last 10
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-07 13:22 UTC
0
10-01
0
10-02
0
10-03
0
10-04
0
10-05
0
10-06
0
10-07

0 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 2026-10-07 13:22 UTC
#PrivacyParadoxon
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-07 13:22 UTC

Everything below is measured over the latest 10 public posts (spanning ~44820 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (7) · Dutch (1) · Spanish (1) · German (1)

Avg boosts / post: 1.1

Top of the latest posts

  • The difference between people's attitudes to #privacy offline vs. online is known as the #privacyparadox. We recently conducted a survey among internet users in the UK together with @yougov to better understand this phenomenon. https://www.

    Proton Mail@[email protected]♥ 2↻ 62023-06-22 09:40 UTCView post →

  • Hackers stole Flock’s camera software, exposing how it tracks cars and people. Will companies really police their own privacy? #PrivacyParadox https://gigcitygeek.com/808817

    Laronski@[email protected]♥ 0↻ 02026-09-17 20:20 UTCView post →

  • Data is the 21st century oil, fueling innovation and manipulation. Are we prepared for the ethical spillover? #DataDilemma #PrivacyParadox

    Keano@[email protected]♥ 0↻ 02026-06-24 13:01 UTCView post →

#privacyparadox across platforms

every network with a public tag surface

Follow #privacyparadox 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/privacyparadox