Pro Trump articles (and anti Clinton) would appear on in the sea of other articles, but they were always black or grey within a minute or two of their appearance. Pro Clinton articles were about 50/50 throughout the day, some staying, some being voted off.
I attribute a lot of the lost articles to the feeling of "keep HN clear of politics", and a lot more to fringe/fanatical news sites making being flagged, but the overall trend of preferring Clinton to Trump was definitely visible. Bernie Sanders articles were ones which stayed up even longer than the others combined.
So, long story short, yeah, HN is still quite the political echo chamber. It's understandable: many of us share both general job descriptions and life goals; I'd hazard a guess that most even share an age group and fall within a handful of ethnicities.
When I read HN, I got the feeling, most political comments that get upvoted are phrased like "I know everyone here is a liberal leftist, BUT I have to tell you about my conservative right opinion right now, even if you don't wanna hear it!"
But I never really encountered these "liberal leftist" majority here. Just in places of the Internet that don't have anything good to say about HN.
Is the same 5 or 6 conversations over and over really any less of an echo chamber than 2 or 3?
I like to come up with my own conclusions, which may - or may not - be what my demographic group "expects" me to.
Yes, reddit, HN, and the NYT, are echo chambers. But is that the problem, or the eternal-Septemeber, clueless reporting, low-signal high-noise level of the echos?
Is the problem that the LA Times publishes a propaganda piece on Copyright Office staffing? Or that it's so very hard to find high-quality commentary? With which, if you cared to, you could to discredit the dreck? Is the enormous role that groupthink plays in Washington the problem, or that even when people wish to break out of it on some topic, the information infrastructure doesn't exist to support them?
Imaging an HN which, instead of pretending its quality hadn't declined over the years, was instead trying to technically address the decline. What might be done?
Well, why couldn't a high-quality discussion community exist embedded in a reddit? A necessary condition is "we don't see the dreck". Personalization. Everyone has control of what the site looks like to them. So you can be fine with reddit-style puns on topic A, but only see insightful expertise on topic B. And I can make the opposite choice. On Tuesdays.
A core idea of machine-learning-based human-computer-hybrid systems, is that the system learns about the people at the same time that the people help the system execute the process. The candy machine bribing CS undergraduates to grade CS 101 exams, learns both about the answers being graded, and about how much to trust different people's grading of different subjects.
And the system can recognize when it needs advice. "This clearly goes in bucket M, and this in bucket N, but hmm... I'm not sure where to put this one. Hey, statistically well-executed sample of people, which bucket?".
Perhaps it's overly optimistic to think that people might choose to not live in mind ghettos if given the choice. But we won't have a choice until we get better at cultivating quality. Instead of chance "Oh, look over there, by the petunias! A thoughtful thread! Oh, no, it's dead now".
* Most of the liberal stuff in my FB/Twitter feeds are from NYT or Washington Post
* Back in the day, consumers of traditional media probably zoned out of TV bits/skimmed over newspaper articles that they didn't agree with
The whole "echo chamber" thing seems like a meme to me. "In the olden days, we used to go to ye olde coffee store and have intellectual conversations with randos with different political beliefs."
This is what happens when, as an industry, we move towards "personalization". All of our "personalized" feeds allow businesses to increase their ad revenue, but it siphons us away from the rest of the world. 30 years ago, we were beholden to the large media outlets, which is also bad, but I believe we've overcorrected. All of our apps are just too personalized and they don't work hard enough to tell us what we should know, as opposed to what we want to know.