Never said a thing about filter bubbles, but in a way, it feels like a self-reinforcing loop:

0 An article gets clicked often

1 Google ranks it higher in the results based on those higher click counts

2 It gets clicked even more often due to being ranked higher in the results

3 goto 0

Behavior like that might be fine when one is looking for something obscure technical to surface more relevant results.

But when it's applied to news articles it creates the impression of a bias/funnel as the top results will regularly consist of the same, slightly altered, headlines and conclusions. Which in part is probably the result of a lot of news-outlets just copy&pasting AP releases.

Note: I'm not saying this is done on purpose, it might very well just be a manifestation of the increased use of AI/ML where the end results often can't be properly explained/reasoned as the ML has become sort of a blackbox optimizing towards a given goal, like giving results that are more likely to be clicked.