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Dark Reading engagement report

@DarkReading - 357K followers on X

Measured over 40 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 357K followers
Per impression
0.069%
7.2K views on a typical post
Reach
2.03%
of its followers see a post
Typical post
5
interactions (median)
Saved
0.048%
4 bookmarks on a typical post
Posting rate
1.33/day
active 30% of days
Peak time
17:00 UTC
Thursday

A typical post picks up 5 interactions against 357K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 9% of 6,874 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 7.2K times each, and 0.069% of those impressions turn into an interaction. That is about 2.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 40 posts sampled, 100% link out. The account's strongest tracked post pulled 69 interactions, about 14x its own typical post. Recurring topics include #drglobal, #cybersecurity, #darkreading.

Measured over 40 original posts from a 30-day window, last computed on September 2, 2026. Recurring tags: #drglobal, #cybersecurity, #darkreading.

Compared with accounts its own size

Dark Reading's engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 5% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.001%, Dark Reading sits below the 10th percentile of the 66,128 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.9%
Engagement rate as a share of followers, across the 66,128 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,111 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.9%

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 17:00 UTC, and Thursday 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video0% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 0% 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.
  • 100% 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 154 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

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

  • Aug 24, 202614x their median

    Following an increasing number of malicious campaigns using agentic skills, OWASP releases its top-10 list of agentic skills risks and a universal skills format. "Without the knowledge of what risks could exist with skills, you're kind of operating blind," says security practitioner Omar Turner. https://t.co/djiUj672cQ

    54150012K viewsView on X
  • Aug 21, 202611x their median

    OWASP Flags Top AI Skill Risks in New Security Blueprint: https://t.co/pyEByyY71s by Robert Lemos

    4772011K viewsView on X
  • May 26, 20265.0x their median

    Tim Wilson, co-founder and former editor-in-chief of Dark Reading, passed away five years ago in November. As Dark Reading enters its third decade, we pause to celebrate and honor Wilson's instrumental role in building and elevating the media site. Read the full story here: https://t.co/xGYlTVas8q #DarkReading20 @InformaTTGT

    184308.4K viewsView on X
  • Aug 28, 20263.6x their median

    You Need Cyber Deception for OT: https://t.co/HLMmEeEMG3 Commentary by Scott Hawk, VP & CISO, Velaspan

    161107.8K viewsView on X
  • Aug 28, 20263.6x their median

    Chinese Routers Sold Worldwide Contain Backdoors: https://t.co/997C91Zw2r by Nate Nelson

    152107.6K viewsView on X
  • Aug 31, 20262.8x their median

    AI Model Rules Are Not Security Controls: https://t.co/b72Gjglo0Q Commentary by Jacob Krell, Senior Director: Secure AI Solutions & Cybersecurity, Suzu Labs

    121019.6K viewsView on X
  • Aug 24, 20262.6x their median

    The Vulnerability Gap: Why Discovery Is Outrunning Repair https://t.co/s67QnMo2kn Commentary by Christopher Robinson, Chief Security Architect, Open Source Security Foundation

    111017.3K viewsView on X
  • Sep 1, 20262.4x their median

    Anthropic Users Hit by Infostealer Attacks, Session Thefts: https://t.co/6cYlJLdLmm by Jai Vijayan

    93008.8K viewsView on X
  • Aug 20, 20262.4x their median

    The 'Industrial Accidents' Behind Rogue AI Agent Attacks - and the Sandbox Failures Exposed https://t.co/gBXiW0pxCl A #BlackHat NewsDesk interview #darkreading #cybersecurity

    81214.8K viewsView on X
  • Sep 1, 20262.2x their median

    'TerminalFix' Campaign Weaponizes PowerShell for Enterprise Attacks: https://t.co/3MHw0NB1Hy by Alexander Culafi

    92007.0K 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.

Recurring topics

#drglobal#cybersecurity#darkreading#drtheedge#blackhat

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 5 interactions against 357K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 9% of 6,874 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 7.2K times each, and 0.069% of those impressions turn into an interaction. That is about 2.03% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 17:00 UTC, and Thursday is the busiest day of the week. Of the 40 posts sampled, 100% link out. The account's strongest tracked post pulled 69 interactions, about 14x its own typical post. Recurring topics include #drglobal, #cybersecurity, #darkreading.

What is Dark Reading's engagement rate on X?
Dark Reading (@DarkReading) has an engagement rate of 0.001%, based on the median interactions across 40 original posts from the last 30 days against 356,987 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Dark Reading sits below the 10th percentile of the 66,128 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 @DarkReading have real engagement?
Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the bottom 10% for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @DarkReading post?
Most posts go out around 17:00 UTC, and Thursday is its busiest day, at roughly 1.33 posts per day across the measured window.

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