Journal tags: adtech



The cage

I subscribe to Peter Gasston’s newsletter, The Tech Landscape. It’s good. Peter’s a smart guy with his finger on the pulse of many technologies that are beyond my ken. I recommend subscribing.

But I was very taken aback by what he wrote in issue 202. It was to do with algorithmic recommendation engines.

This week I want to take a little dump on a tweet I read. I’m not going to link to it (I’m not that person), but it basically said something like: “I’m afraid to Google something because I don’t want the algorithm to think I like it, and I’m afraid to click a link because I don’t want the algorithm to show me more like it… what a cage.”

I saw the same tweet. It resonated with me. I had responded with a link to a post I wrote a while back called Get safe. That post made two points:

  1. GET requests shouldn’t have side effects. Adding to a dossier on someone’s browsing habits definitely counts as a side effect.
  2. It is literally a fundamental principle of the web platform that it should be safe to visit a web page.

But Peter describes ubiquitous surveillance as a feature, not a bug:

It’s observing what someone likes or does, then trying to make recommendations for more things like it—whether that’s books, TV shows, clothes, advertising, or whatever. It works on probability, so it’s going to make better guesses the more it knows you; if you like ten things of type A, then liking one thing of type B shouldn’t be enough to completely change its recommendations. The problem is, we don’t like “the algorithm” if it doesn’t work, and we don’t like it if works too well (“creepy!”). But it’s not sinister, and it’s not a cage.

He would be correct if the balance of power were tipped towards the person actively looking for recommendations. As I said in my earlier post:

Don’t get me wrong: building a profile of someone based on their actions isn’t inherently wrong. If a user taps on “like” or “favourite” or “bookmark”, they are actively telling the server to perform an update (and so those actions should be POST requests). But do you see the difference in where the power lies?

When Peter says “it’s not sinister, and it’s not a cage” that may be true for him, but that is not a shared feeling, as the original tweet demonstrates. I don’t think it’s fair to dismiss someone else’s psychological pain because you don’t think they “get it”. I’m pretty sure everyone “gets” how recommendation engines are supposed to work. That’s not the issue. Trying to provide relevant content isn’t the problem. It’s the unbelievably heavy-handed methods that make it feel like a cage.

Peter uses the metaphor of a record shop:

“The algorithm” is the best way to navigate a world of infinite choice; imagine you went to a record shop (remember them?) which had every recording ever released; how would you find new music? You’d either buy music by bands you know you already liked, or you’d take a pure gamble on something—which most of the time would be a miss. So you’d ask a store worker, and they’d recommend the music they liked—but that’s no guarantee you’d like it. A good worker would ask what type of music you like, and recommend music based on that—you might not like all the recommendations, but there’s more of a chance you’d like some. That’s just what “the algorithm” does.

But that’s not true. You don’t ask “the algorithm” for a recommendation—it foists them on you whether you want them or not. A more apt metaphor would be that you walked by a record shop once and the store worker came out and followed you down the street, into your home, and watched your every move for the rest of your life.

What Peter describes sounds great—a helpful knowledgable software agent that you ask for recommendations. But that’s not what “the algorithm” is. And that’s why it feels like a cage. That’s why it is a cage.

The original tweet was an open, honest, and vulnerable insight into what online recommendation engines feel like. That’s a valuable insight that should be taken on board, not dismissed.

And what a lack of imagination to look at an existing broken system—that doesn’t even provide good recommendations while making people afraid to click on links—and shrug and say that this is the best we can do. If this really is “is the best way to navigate a world of infinite choice” then it’s no wonder that people feel like they need to go on a digital detox and get away from their devices in order to feel normal. It’s like saying that decapitation is the best way of solving headaches.

Imagine living in a surveillance state like East Germany, and saying “Well, how else is the government supposed to make informed decisions without constantly monitoring its citizens?” I think it’s more likely that you’d feel like you’re in a cage.

Apples to oranges? Kind of. But whether it’s surveillance communism or surveillance capitalism, there’s a shared methodology at work. They’re both systems that disempower people for the supposedly greater good of amassing data. Both are built on the false premise that problems can be solved by getting more and more data. If that results in collateral damage to people’s privacy and mental health, well …it’s all for the greater good, right?

It’s fucking bullshit. I don’t want to live in that cage and I don’t want anyone else to have to live in it either. I’m going to do everything I can to tear it down.


Arthur C. Clarke once said:



Here’s what I wrote:



Much like behavioural advertising.

Clean advertising





Too straightforward.



But there’s a problem with behavioural advertising. A big problem.

It doesn’t work.


Forget privacy: you’re terrible at targeting anyway:
























