Hacking the Hivemind: Predicting Comment Karma on Internet Forums (2014) [pdf]
cs229.stanford.edu
cs229.stanford.edu
Except now you have to deal with two definitions of quality - what you want to read and what gets voted up, and those don't always correlate.
My key objection is that what the majority of users think is "better/relevant" should have no influence on what I think is better and relevant. I can decide for myself, I don't need the 'hivemind'.
What's wrong with just a "deleting memes" policy?
At the end of the day, I'm not happy to follow the collective judgment of other users.
It would be nice if HN would allow sorting of threads by various filters, such as time of last reply, and/or decide whether or not low-sorted comments get greyed out.
For example, with sufficient data to analyse, it shouldn't be tremendously difficult to find relationships between users who tend to agree or disagree, and provide each user with a customised view, taking these preferences into account.
(Of course, slashdot took a slant at making it cleverer - by allowing upvoting for different reasons - e.g. funny vs. insightful.)
I much preferred online discussion pre-karma.
Tying a system for surfacing high quality content to individual points seems like a recipe for disaster. I like facebooks system, where points and algorithms work together to try and surface content that users will like, but there is no actual running point system to try and game.
I'm not saying that their ideas aren't worthwhile, but simply that the medium won't allow for those ideas to be presented in an engaging manner.
There's a huge difference between the wall-of-text full of typos and misspellings (which seem to become the weapon of choice of native speakers as well), and the misuse of pronouns, or forgetting which word is an irregular preterit. I, for one, would be in favour of seeing the former ranked lower.
Then don't! Or, if you mean you don't want to know how anyone else felt about a post, and you use the Stylish browser extension, you can use this style I made which makes all comment text the same vivid #000000 --
https://userstyles.org/styles/141705/that-s-just-like-your-o...
There is no mention of tailoring comments and replies to the target audience. Once I adopted the mindset of a senior high school or college student and posted accordingly, I was able to increase my karma on Reddit from 1,000 per year to 1,000 per month.
I still haven't managed to crack Hacker News, though. Tough audience.
Just link a bunch of studies to anything you say.[^1] It doesn't actually matter if they're related.[^2] No one really checks the sources anyway.[^3]
[^1]: https://arxiv.org/abs/1502.02876
My top 3 posts [0, 1, 2] are all fairly trite. All three of these were rated much higher than posts with extensive citations.
[0] https://news.ycombinator.com/item?id=13538068
[1] https://news.ycombinator.com/item?id=13441744
[2] https://news.ycombinator.com/item?id=13594765
Edited:
This post already has a higher score than https://news.ycombinator.com/item?id=14180432 which has five citations.
https://news.ycombinator.com/item?id=14124411
to these:
https://news.ycombinator.com/item?id=14149200
https://news.ycombinator.com/item?id=14016438
Getting "in" when a post has few comments and is going to attract a lot of comment readership quickly or stay on the frontpage for a while is probably more important than pure comment quality.
* Proximity to the top of the page
* Time of day posted
* Number of sibling comments and the score of those comments
On reddit, for example, it seems impossible to get noticed once there are already a few highly-upvoted replies to the comment you're replying to.
I can't tell for sure it's intended, but this sounds Machiavellian. And also following your own stated advice. Compliment the audience on being tough -- tell us what we want to hear -- in order to be rewarded with upvotes. Nice work.
Karma aggregates are meaningless internet points. Neither Reddit nor Hacker News, nor their users, give major impact to how much user a user has (aside for low karma aggregate thresholds for downvoting on HN), nor is there any correlation between the amount of karma and the quality of content that user outputs.
For example, this comment made today, which is literally just a quotation, is at 13pts currently: https://news.ycombinator.com/item?id=14178760
But it was a quotation in response to a top rated comment in a top rated thread.
But if you normally write comments that earn 1-5 points, and then one comment earns 300pts, there might be something to the way you wrote it. Or might not. It might just be that you wrote the rebuttal everyone wanted to the stupid comment in a very popular thread.
But you should try to figure that out, because if—after eliminating sources of error—you're still left with an anomalously-high score, then the cause was probably you.
More than just with highly-positive scores, though, I also tend to analyze the type of writing I put into comments that ended up with negative scores. More often than not, it seems that my own problem is that I didn't sprinkle in enough "hedging words" (like the 'more often than not' in this sentence) and then someone came along with a single counterexample and a downvote storm ensued. I wouldn't have figured out that people had that reaction if the points weren't there.
I think[2] analysing which comments get up voted can be very helpful if you're doing so when looking at writing style. but when approached with an eye towards content, it seems[3] like it would lead to the echo chamber effect that often gets raised as an issue.
[1] there goes one of those hedging words now
[2] oops, there's another.
[3] and a third. It would be interesting to see the ratio of filler/hedging/weasel words to votes in HN vs elsewhere.
Does a system where the more karma you have the more power your upvotes have work?
Is there a better system?
Why, though?
I knew it! Everybody on the internet is an asshole!
Unfortunately, since comment scores are still omitted from the API, it would be hard to modernize this analysis. (and the algorithms have definitely changed over the years)