A graphic look at a columnist's web activity during a typical workday shows how websites and tech firms track users via tracking scripts, unique IDs, and more
Earlier this year, an editor working on The Times's Privacy Project asked me whether I'd be interested in having all my digital activity tracked … Tweets: @nadiehbremer and @fmanjoo Tweets: Nadieh Bremer / @nadiehbremer : NEW! 🎉 Still can't believe it, but I got to work with the New York Times to create a #DataViz for their Opinion section!! *happy dance* Read about the insane amount of digital trackers you gather when you browse, well, anywhere... https://www.nytimes.com/... @nytopinion https://twitter.com/... Farhad Manjoo / @fmanjoo : Folks working on the NYT Privacy Project had an idea for me: let's track everything Farhad does online! Er, OK. I've got nothing at all to hide! So, here's a graphic look at all the advertising trackers that swarm my online life. And yours, too. https://www.nytimes.com/...
Context & Ripple Effects
The Times's Privacy Project has been running a sequence of self-experiments: in May it bought ads against 16 inferred profile attributes to show readers what advertisers think they know about them, and columnist Farhad Manjoo had already spent weeks offline for a print-only news diet. This piece completes the arc from the inside out — data artist Nadieh Bremer visualizes Manjoo's ordinary workday browsing, exposing the tracking scripts and unique IDs that fire on nearly every site he touches.
First-order effects
- Readers get a concrete, named-person inventory of trackers per page visit, turning an abstract privacy debate into something they can check against their own browsers.
- The advertising-tech firms and websites whose scripts appear in the graphic are publicly identified as trackers on a mainstream opinion page, with no consent narrative attached.
Second-order effects
- Other publishers are pushed to account for their own third-party tag loads or risk the same exposure — and the Times itself answers within a year by pledging to drop third-party ad targeting for a first-party data platform built on proprietary audience segments.
- Advertisers and data brokers lose the benefit of invisibility: when a flagship outlet documents the mechanism, buyers start asking which segments come from this kind of ambient tracking.
Third-order effects
- If the pattern holds, newsrooms move from documenting surveillance to exiting it, shifting digital advertising economics toward first-party relationships and making third-party trackers a reputational liability rather than a default.
- Sustained visibility of tracking mechanics gives regulators and browser vendors a shared evidentiary base for restricting cross-site identifiers — the structural pressure that eventually reshapes how ad targeting works industry-wide.
The trend: News organizations are converting privacy from a policy abstraction into demonstrated journalism, and the documentation is pushing publishers themselves off third-party tracking.