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The high amount of upvotes and low ratio of votes/comments on deep learning/big data posts is unfortunately accurate.

It's not a problem that HN has topics which are frequently upvoted; topics such as employment and Rust are popular memes.

It is a problem, however, if the upvote-for-the-title crowd upvote articles which are bad and would not get upvotes if they were about another topic. That's a legit hard problem to solve (what makes a good submission?), unfortunately, but one I've been looking into.

(For clarity, this submission is a good submission, but I've seen quite a few top-ranking HN submissions that are just a bar chart on a controversial topic that is poorly sourced. And linkbait about deep leaning tends to get upvotes, but flagged too.)




There's a problem with upvoting on HN: upvote is also the only saving mechanism available: If I run across some click-baity title, but I don't have time to read it right now I will click upvote, but what I really mean by that is "save for later".

Maybe HN just needs to separate bookmarking and upvoting?


... HN has added favorites recently ("favorite" link, on the submission/individual comments page) and thus has both. And apparently really needs a more public changelog.


I was just making an observation, certainly didn't intend it as criticism.




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