Text classification might be very good at identifying ad text. There's a popular fake news dataset where models hit 85% accuracy https://link.springer.com/chapter/10.1007/978-3-030-68787-8_...

Ads are highly tuned for click through rates. Even if the model isn't 100% accurate, it would force advertisers to use less effective ad text to avoid filters.

> it would force advertisers to use less effective ad text to avoid filters.

That seems counterproductive to me. I mean, ads would still be annoying. And that’s why we block them.

I decline to accept ads because I don't want professional manipulators tricking me into acting against my best interests. I consider myself fairly good at resisting manipulation, but these are highly skilled experts backed by the full power of modern neuroscience, and they aim to catch me off guard. Adverts are hazardous to view, and you should not do so without utmost mental focus and discipline, which is impractical during general browsing.

The avoidance of annoyance is a just bonus.

"Tricked by professional manipulators". I like that phrasing over what I've tried to use: "mind control". Makes me sound like a conspiracy wacko.