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To me, it seems all this long explanation is just posturing when a simple example would have proven your point.

freeflight 8y ago
The simple example here being how Google seems to prioritize "current news", particularly those clicked the most often, over actual search results. Which from the outside feels very similar to how YouTube tends to "harmonize" it's dynamic playlists aka "mixes" to such a point that all of them end up being the same after the first 1-2 songs because everything after that seems to be strictly based on personalization and not the original song the mix was created on.
- bad_user 8y ago
  Prioritizing current news might be annoying, but it can't be a filter bubble, as we aren't talking of personalisation. Basically I would be interested in a sample where say a democrat gets different opinion pieces versus a republican, on the same search query. I feel that such samples could exist, but I haven't witnessed such instances in my daily use.
  - freeflight 8y ago
    > Prioritizing current news might be annoying, but it can't be a filter bubble 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.
- dirkgently 8y ago
  > The simple example here being how Google seems to prioritize "current news", particularly those clicked the most often, over actual search results. Funny how I still don't see two links: 1. Google search for a keyword 2. DDC link for the same keyword As I said, it's posturing.

The simple example here being how Google seems to prioritize "current news", particularly those clicked the most often, over actual search results. Which from the outside feels very similar to how YouTube tends to "harmonize" it's dynamic playlists aka "mixes" to such a point that all of them end up being the same after the first 1-2 songs because everything after that seems to be strictly based on personalization and not the original song the mix was created on.

bad_user 8y ago
Prioritizing current news might be annoying, but it can't be a filter bubble, as we aren't talking of personalisation. Basically I would be interested in a sample where say a democrat gets different opinion pieces versus a republican, on the same search query. I feel that such samples could exist, but I haven't witnessed such instances in my daily use.
- freeflight 8y ago
  > Prioritizing current news might be annoying, but it can't be a filter bubble 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.
dirkgently 8y ago
> The simple example here being how Google seems to prioritize "current news", particularly those clicked the most often, over actual search results. Funny how I still don't see two links: 1. Google search for a keyword 2. DDC link for the same keyword As I said, it's posturing.