I helped build adtech's tracking tools. They're on government sites now
The author describes how advertising technology that measures user attention and dwell time became embedded in corporate analytics systems. These tools, originally designed to optimize clicks and conversions, proved difficult to replace once entrenched. The same tracking infrastructure is now being deployed on government websites, raising concerns about surveillance and privacy.
- ▪The author was hired for expertise in building systems that track user interactions such as clicks, dwell time, and cart abandonment.
- ▪Traditional analytics platforms like Adobe Omniture were rigid, prompting a desire for open, self‑hosted tools that could capture raw visit data.
- ▪Over time, the adtech measurement framework became institutionalized, making it hard to discard despite its limitations.
- ▪The same tracking technologies are now being installed on government sites, extending commercial attention‑measurement practices to public‑sector monitoring.
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Story provenance
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Cairn |
| Canonical URL | https://cairn.com/news/the-counter |
| Publication time | Tue, 30 Jun 2026 07:26:51 +0000 |
| Retrieval time | 2026-06-30T07:54:24.163Z |
| Last seen | 2026-06-30T07:54:24.163Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | EAR8S7SJWPFn |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
The Counter The advertising industry learned to measure the moments before you decide. Now their tools are learning to govern. It was my first week at a new job. The boss wanted me close. His two-story office was glass on two sides. One side looked out on the parking lot. The other looked in on us. From his office, we were figures behind glass, visible by default. The wall behind him had brand logos. The fourth wall was hung with rare skateboards: decks too valuable to ride, mounted in a grid. Scrappy things made beautiful by being taken out of circulation. He faced them every day. It was all new to me. I was here because I knew how to design systems to track things that move. My advertising skills were nominal, and my new cohort spoke the lingo fluently, like people who had invented it.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Cairn.
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