Show HN: Hater News – Find trolls and anyone's hater level on Hacker News
haternews.herokuapp.com
haternews.herokuapp.com
That said, the methodology here is totally broken. I expected my worst comment to be related to one of the many gender debates on HN, but no.
Apparently, it's this:
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You can try "Masters of Deception: The Gang that Ruled Cyberspace".
It's a fictionalized retelling of the stories of the two prominent BBS hacker/phreaker groups during the 80s and early 90s.
It's not really brain food or anything like that, but it's a quick and decent read if you have free time.
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Truly this is the pinnacle of vitriol. I then looked at some of the other darker hues in the periodic table. More mundane stuff.
Can't say I agree with that sentiment. It comes across almost as bad as the hate it proclaims to wish to expose.
I don't think the Internet is covered in trolls, the trolls are an extremely small percentage of users.
This project -- if it does what it claims -- seems to focus on people that create low-quality comments (i.e., "trolls"). In a way, it's rewarding them for their behavior. (and yes, I realize the irony in my comment).
Also, it blanket labels anyone meeting its algorithmic threshold as a "hater", when in fact they may just have written something unpopular.
So I'd prefer for people to create value using HN's API in more positive, constructive ways.
Just my opinion, obviously.
> *Side Note: Eventually I would love to turn this into a Chrome App that will just real-time analyze any user on a page when you visit hacker news and put a score right next to them so the world can see if they hate or love. I’m also going to build versions of this for Twitter, reddit, Instagram, Facebook, and maybe even dating apps. If you want to help, reach out!
"Even then, you're aware of the contacts or the implant,
unless you're living in the Matrix and were genetically
engineered with a AV jack in your spinal column."
Looks like a counted bag of words + https://github.com/kevinmcalear/hater_news/blob/master/its_p... are fed into a logistic regression
@krapp there were some challenges building out a great model but you can download the whole repo and pull out just the machine learning part and see what I did, I have it commented out in an iPython Notebook. :)
The Repo: https://github.com/kevinmcalear/hater_news
It basically uses word tokenization using scikit-learn's count vectorizer and some extra features I added like "bad words", ratio of bad words to total words used, speaking in all CAPS, and a few other features. I then took the features and use logistic regression to predict the likely hood that a specific comment is insulting then average all a user's comments into one score.
I used training data from a kaggle competition and was able to score near the same level as the winners but it will definitely be improved as I keep working on it.
OTOH, at least HN lets you create throwaway accounts easily.
I like the little time waster videos and whatnot that show when it's taking a little while to compute.
Worst Comment: "You're just making a caricature of yourself."
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I look forward to metal-air batteries, where the charge can be expected to exceed the lifetime of the device.
I thought metal-air batteries didn't produce a high enough current to be used in devices requiring much more juice than a hearing aid?
"If you have multiple modes you can basically reuse the entire keyboard for commands. That's one advantage that is impossible to achieve in non-modal editors. Ctrl-ing, Alt-ing, Shift-ing stuff just isn't the same, especially as those commands get more and more complex."
Some Final Thoughts.
- Sarcasm is hard to detect.
"The sort of incivility we're worried about is the more explicit type where someone replies to a comment with "You are an idiot. Don't you realize that x y z?" when they could have simply said "x y z." I'm pretty ..."
It would be cool to ignore/weight down quoted text somehow.
(1) If user has the most upvoted comment in any thread (2) Check if that thread had a lot of flamewar language.
If so, return that as the most hateful comment. I'm only half joking about using this approach.
It's a fun little app! Not sure how useful it is, but I do want to see how it develops.
I'd be really interested to see if there's any link between HN Avg karma and hn hater score.
Your own hate score is 3.61% Should not this post and the creation of Hater News itself up your score to 100%?
My own score is an even lower 2.06%. What gives? Maybe this comment will give me some points.
...So did my rating just go up?
Might have a look-see at the source.
took me a bit to understand that was a weird typo and not a really cool CS concept.
I hate hater score sites that don't give me my hater sore...
1) Taken down via HN hug of death
2) Nuked from orbit by mods.
Also I'm only at 2.5% I honestly figured I was far more toxic.
No moderator touched that post. It was killed by user flags. (Also, why on earth would we "nuke" a post sharing original work done with the HN API? That's why we made the API in the first place.)
https://news.ycombinator.com/item?id=8515160
Reposts of user-flagged items, though, we do tend to penalize. Otherwise flags wouldn't mean very much.