News for hackers. Stuff that matters.
Re:Hacking Hacker News Headlines by joshu on Thursday May 05, 2011 @12:51PM (#2518028)
I feel like you should work in absolute points-space, rather than rank-space.

Also, no clue if the factors you pulled out are orthogonal.

Re:Hacking Hacker News Headlines by rauljara on Thursday May 05, 2011 @01:10PM (#2518102)
True. But credit where credit is due. Very cool analysis for a throwaway blog post specifically manufactured to garner karma.

Only thing I'll add as a data critique, the negative factors are reported as things to avoid. But, in fact, all of the reported on titles actually made it onto the Hacker News front page (1). There are an awful lot of submissions that never make it that far. In fact, the significance of the findings indicate that those terms make it onto the front page A LOT (2). I don't think the negatively correlated terms should necessarily be viewed as failures. Just less successful. My own suspicion is that those titles do draw eye-balls, but someone using titles like those is also likely to be kind of a bad writer, preventing those stories from getting upvotes. It would be very hard to prove a correlation between quality of title and quality of writing, though.

(1) I believe. Hard to tell from the post.

(2) Otherwise there wouldn't be enough data for them to be significant.

Re:Hacking Hacker News Headlines by mbreese on Thursday May 05, 2011 @02:33PM (#2518424)
It would be very hard to prove a correlation between quality of title and quality of writing, though

Especially since the author of the linked article isn't always the one who submits the article and therefore gets to choose the HN title.

Re:Hacking Hacker News Headlines by ma2rten on Friday May 06, 2011 @08:12AM (#2520696)
The point of the article was as I understand it, which influence the title has independent of the data. Stuff like quality of writing will just be noise that does not matter anymore as long as you have enough data.
Re:Hacking Hacker News Headlines by brendano on Thursday May 05, 2011 @01:25PM (#2518161)
They're not exactly in rank-space .. they discretize to the binary variable whether or not an article made it into the top-20, then use logistic regression to model that. so the coefficients are in log-odds space of that indicator
Re:Hacking Hacker News Headlines by mbreese on Thursday May 05, 2011 @02:36PM (#2518439)
Yeah, but instead of looking at if something got into the top-20 (binary 1/0), he's saying that they should have modelled the absolute score of an article. This would give you a way of weeding out the cruft that hits the front page and disappears quickly.

Another way of looking at it would be the amount of time that a post spends on the front page.

Re:Hacking Hacker News Headlines by joeraii on Thursday May 05, 2011 @03:12PM (#2518564)
We spent a little time modeling various transforms of absolute score. The top features are essentially the same, but the coefficient variance is a lot higher. We're also interested in modeling rank or mindshare "stickiness" -- some articles remain in higher spots longer than others.