Blacklight, our privacy inspector tool, now tracks X and TikTok pixels

The Markup · collected 2026-09-04 · by Miles Hilton
Read the original at The Markup ↗

Summary

The Markup's website privacy inspector tool, Blacklight, has expanded its capabilities to detect tracking pixels from TikTok and X (formerly Twitter) in addition to Google and Meta, which it had previously detected. Since 2020, over 18 million scans have been run using Blacklight. The new features were developed by a group of computer science students from Brandeis University with the support of The Markup's product team. Blacklight can now report on the presence of TikTok and X pixels when scanning a website and provide more detailed information about the data being passed through these pixels.
Written by the local model on 2026-09-05, using this article's own text rather than the other coverage of the same event (that is the story summary below).

Signals How these are calculated →

Claims extracted
18
claim-shaped sentences
Uncertain
0%
0 of 18 hedged
Leaning
not political
takes no side on a contested political question
Publisher trust
94.1
red-flag proxy, not a credibility rating
Outlets on this story
1
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-05 · how these are computed

AI analysis (generated at analysis time, not now)

Story summary

The Markup's online tool, Blacklight, which tracks website privacy, has been updated to detect two new types of tracking pixels: those from TikTok and X (formerly Twitter). This means that when users scan a website with Blacklight, it will now report if it finds either of these pixels. The detection feature was added after over 18 million scans since its launch in 2020, which previously only identified pixels from Google and Meta. Tracking pixels are small pieces of code that collect user data, including browsing history, purchases, and searches, to build detailed profiles for targeted advertising. This data can also be used for other purposes. The update aims to increase transparency and awareness about online tracking, which has led to lawsuits and increased scrutiny in the past.

Written for “TikTok Data Collection Practices” on 2026-09-05, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 4377 · logged 2026-09-05

Story

📰 TikTok Data Collection Practices
Technology · 1 article(s) covering the same event. This is the one the site leads with.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

Nothing to compare against. No article is close enough to this one for the pipeline to have linked or judged the pair.

Publisher

The Markup · 20 article(s) · 0 correction(s) detected
SignalValueWeight
Correction rate 0.000 0.4
Uncertainty density 0.118 0.25
Assertive mismatch rate 0.000 0.35
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Miles Hilton
1 article(s) here · 1 carrying a prediction
🔮 When you look up a website in Blacklight, it will now report if it finds the TikTok pixel or X pixel.
The only article under this byline in the corpus.

Topics

Blacklight Brandeis University’s Google Meta TikTok

Subjects

Blacklight ORG · 3× Google ORG · 2× Meta ORG · 2× TikTok ORG · 2× Brandeis University’s ORG · 1× Capstone in Software Engineering ORG · 1× Hengye Li PERSON · 1× Hongchen “Steven” Yang PERSON · 1× Jiawen “Zena” Hu PERSON · 1× Yiyou “Felix” Fan PERSON · 1×

Narrative

Blacklight’s pixel detection features have already powered our Pixel Hunt investigations, which revealed that sensitive personal user information was being shared from government websites with Meta and Google, leading to lawsuits, removal of pixels from sites and increased government scrutiny.
framing: assertive · carried by 1 article(s) · first seen 2026-09-05
🔮 When you look up a website in Blacklight, it will now report if it finds the TikTok pixel or X pixel.
2026-09-05 · The Markup
Blacklight, our privacy inspector tool, now tracks X and TikTok pixels · assertive framing

Claims (18 extracted, 0 hedged)

Since 2020, readers have used Blacklight, our pioneering website privacy inspector tool, to run more than 18 million scans. asserted
readers → use → scans
Previously, Blacklight detected tracking pixels from Google and Meta. asserted
Blacklight → detect → Google
Today, we’re announcing that it can scan for two more digital trackers: TikTok and X pixels. asserted
it → announce → trackers
A tracking pixel is a small piece of code added to a website that sends information about the site’s users to the platform that operates the pixel. asserted
that → track → pixel
That can include details of a user’s activities, such as their browsing activity, purchases and searches. asserted
That → include → activity
A website that embeds a pixel often does so to inform its advertising campaigns on the platform that create the pixel. asserted
that → embed → pixel
When its pixel is embedded across many websites, the platform can compile a user’s data to build a detailed profile of their interests, behavior and other personal information. asserted
platform → embed → interests
These profiles allow other businesses to buy ads from the platform to target categories of users — though this data can also be used for other purposes. asserted
data → allow → purposes
When you look up a website in Blacklight, it will now report if it finds the TikTok pixel or X pixel. asserted
it → look → pixel
More detailed information about the specific data being passed through pixels is also available by clicking on “Learn more” in the top right of the results, then clicking the link to “download an archive.” asserted
information → pass → archive
To develop these new features, we partnered with a group of computer science students in Brandeis University’s Capstone in Software Engineering course. asserted
we → develop → course
These students – Yiyou “Felix” Fan, Jiawen “Zena” Hu, Hengye Li, Hongchen “Steven” Yang and Yiquan “Frank” Zhang – researched and developed the features with the support of our product team. asserted
students → research → team
Blacklight’s pixel detection features have already powered our Pixel Hunt investigations, which revealed that sensitive personal user information was being shared from government websites with Meta and Google, leading to lawsuits, removal of pixels from sites and increased government scrutiny. asserted
information → power → sites
These new features give a fuller picture of the digital privacy landscape by exposing tracking pixels from two more companies. asserted
features → give → companies
We hope these new features will help you better understand what happens to your data as you navigate the internet. asserted
you → hope → internet
While Blacklight can’t say exactly what companies like TikTok and X do with our data, it can provide a starting point for deeper investigation into how that data is stored, shared and used across the web. asserted
data → say → web
Do you have questions, suggestions or need help understanding your Blacklight results? asserted
you → have → results
You can always reach us at blacklight@themarkup.org. asserted
You → reach → blacklight@themarkup.org
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