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danah boyd engagement report

@zephoria - 199K followers on X

Measured over 2 original posts from a 30-day window, last computed on October 9, 2026.

Engagement

Per follower
0.007%
of 199K followers
Per impression
0.423%
3.5K views on a typical post
Reach
1.78%
of its followers see a post
Typical post
15
interactions (median)
Saved
0.099%
4 bookmarks on a typical post
Posting rate
0.2/day
active 20% of days
Peak time
12:00 UTC
Tuesday

Early reading. We have captured 2 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 15 interactions against 199K followers, an engagement rate of 0.007%. Posts are seen about 3.5K times each, and 0.423% of those impressions turn into an interaction. That is about 1.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 31K interactions, about 2064x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 2 original posts from a 30-day window, last computed on October 9, 2026.

Where this sits in the catalog

At 0.007%, danah boyd sits above the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 12:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 12:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video50% of posts+111%+108% to +115%34K
Outbound link50% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 50% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 50% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 265 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Apr 8, 20232064x their median

    Years ago, I attended a meeting about the future of democracy at Harlan Crow’s “house” (which was staged as a museum). I left deeply shaken by the Nazi memorabilia on display. Apparently I wasn’t alone. https://t.co/AnoLUyaS5I 1/5

    23K6.6K6059796.8M viewsView on X
  • May 9, 2023314x their median

    I can't stop staring at this map. There's a 20 year gap in life expectancy between deep red areas of the US, like the southeast, and blue areas like New England. Your lifespan in the US relates directly to where you live and how it's governed. https://t.co/44nXMocc4o

    2.9K1.3K304202671K viewsView on X
  • Oct 29, 202463x their median

    Personal update: I'm joining Cornell as a Professor of Communication starting in Fall of 2025. ::bounce:: If you're curious about my thinking, see: https://t.co/OZLaoOSJYM

    8424657469K viewsView on X
  • Sep 28, 202342x their median

    For those interested in AI, this is a fantastic primer by @AINowInstitute on the infrastructure needed to make AI work. Think: chips and compute plus the geopolitics, institutions, markets, and politics that make it all happen. https://t.co/0vzUl9gznf

    4631583755K viewsView on X
  • Aug 19, 202419x their median

    "[The obsession with AI] fundamentally has to do with power, and certainly with the power to make life... This is an expression of a uterus envy." - Joseph Weizenbaum, 1996

    2175214736K viewsView on X
  • Jan 31, 202413x their median

    The Kids Online Safety Act isn’t designed to help kids. Congress is using kids to hold Big Tech accountable. Kids will get hurt in the process. https://t.co/2Az4ahhpUN https://t.co/Ar0lxj3Ws2

    1195532050K viewsView on X
  • Apr 7, 202313x their median

    The problem with "opting out" of data tracking is that your requests can be ignored. @mawnikr traced what happened to her medical opt-out requests when she was pregnant. What she found was that privilege vigilance isn't enough. https://t.co/BrSttlNK1N

    124592420K viewsView on X
  • Jan 29, 202412x their median

    Techno-legal-solutionism is what happens when policymakers require tech companies to be solutionistic for good. It’s just as fatally flawed of a logic as the deterministic ones regularly used by tech. Learn more: https://t.co/PAkgQ3Nrpx

    128434625K viewsView on X
  • Apr 13, 20238.7x their median

    I am *deeply* honored to be receiving the @MITPSTS Morison Prize this year and very much looking forward to offering a lecture at MIT on May 8th at 4PM. This event is open to the public if anyone is interested in joining me in Cambridge! https://t.co/dai0Wex6tL

    1051510119K viewsView on X
  • Apr 5, 202311x their median

    Coming back from sabbatical, I'm suffering from whiplash due to deterministic rhetoric around AI. I wrote myself some notes: https://t.co/t6QoAax1XY But I'm also curious... why do you think deterministic rhetoric SOOOOOOO pervasive right now?

    74326823K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 15 interactions against 199K followers, an engagement rate of 0.007%. Posts are seen about 3.5K times each, and 0.423% of those impressions turn into an interaction. That is about 1.78% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 12:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 50% carry an image or video and 50% link out. The account's strongest tracked post pulled 31K interactions, about 2064x its own typical post. Only 2 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is danah boyd's engagement rate on X?
danah boyd (@zephoria) has an engagement rate of 0.007%, based on the median interactions across 2 original posts from the last 30 days against 198,995 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, danah boyd sits above the 10th percentile of the 204,956 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @zephoria have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @zephoria post?
Most posts go out around 12:00 UTC, and Tuesday is its busiest day, at roughly 0.2 posts per day across the measured window.

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