If behavioural ads aren’t more effective than contextual ads, what is all of that data collected for?
If websites opted for a context ads and privacy-focused analytics approach, cookie banners could become obsolete…
See, that’s what I’m talking about;
Levy deftly conflates “advertising” and “personalized advertising”, as if there are no ways to target people planning a wedding without surveilling their web browsing behaviour. Facebook’s campaign casually ignores decades of advertising targeted based on the current webpage or video instead of who those people are because it would impact Facebook’s primary business. Most people who are reading an article about great wedding venues are probably planning a wedding, but you don’t need quite as much of the ad tech stack to make that work.
The benchmarks that advertising companies use — intended to measure the number of clicks, sales and downloads that occur after an ad is viewed — are fundamentally misleading. None of these benchmarks distinguish between the selection effect (clicks, purchases and downloads that are happening anyway) and the advertising effect (clicks, purchases and downloads that would not have happened without ads).
It gets worse: the brightest minds of this generation are creating algorithms which only increase the effects of selection.
A terrificly well-written piece on the emperor’s new clothes worn by online advertising. Equal parts economic rigour and Gladwellian anecdata, it’s a joy to read! Kudos to Alana Gillespie for the great translation work (the original article was written in Dutch).
We currently assume that advertising companies always benefit from more data. … But the majority of advertising companies feed their complex algorithms silos full of data even though the practice never delivers the desired result. In the worst case, all that invasion of privacy can even lead to targeting the wrong group of people.
This insight is conspicuously absent from the debate about online privacy. At the moment, we don’t even know whether all this privacy violation works as advertised.
The interaction design of this article is great too—annotations, charts, and more!
Exactly what it sounds like: a checklist of measures you can take to protect yourself.
Most of these require a certain level of tech-savviness, which is a real shame. On the other hand, some of them are entirely about awareness.
Google hijacking and hosting your AMP pages (in order to pre-render them) is pretty terrible for user experience and security:
I’m trying to establish my company as a legitimate business that can be trusted by a stranger to build software for them. Having google.com reeks of a phishing scam or fly by night operation that couldn’t afford their own domain.
An astoundingly great piece of writing from Paul Ford, comparing the dot-com bubble and the current blockchain bubble. This resonates so hard:
I knew I was supposed to have an opinion on how the web and the capital markets interacted, but I just wanted to write stuff and put it online. Or to talk about web standards—those documents, crafted by committees at the World Wide Web consortium, that defined the contract between a web browser and a web server, outlining how HTML would work. These standards didn’t define just software, but also culture; this was the raw material of human interaction.
And, damn, if this isn’t the best description the post-bubble web:
Heat and light returned. And bit by bit, the software industry insinuated itself into every aspect of global enterprise. Mobile happened, social networks exploded, jobs returned, and coding schools popped up to convert humans into programmers and feed them to the champing maw of commerce. The abstractions I loved became industries.
Oof! That isn’t even the final gut punch. This is:
Here’s what I finally figured out, 25 years in: What Silicon Valley loves most isn’t the products, or the platforms underneath them, but markets.
All the books, Montag.
If we want a 100% encrypted web then we need to encrypt all sites, despite whether or not you agree with what they do/say/sell/etc… 100% is 100% and it includes the ‘bad guys’ too.
Stef does some data-sleuthing and uncovers some shocking behaviour on the part of Google in Kenya.