Researchers Developing An Algorithm That Can Detect Internet Trolls
An anonymous reader writes Researchers at Cornell University claim to be able to identify a forum or comment-thread troll within the first ten posts after the user joins with more than 80% accuracy, leading the way to the possibility of methods to automatically ban persistently anti-social posters. The study observed 10,000 new users at cnn.com, breitbart.com and ign.com, and characterizes an FBU (Future Banned User) as entering a new community with below-average literacy or communications skill, and that the low standard is likely to drop shortly before a permanent ban. It also observes that higher rates of community intolerance are likely to foster the anti-social behavior and speed the ban.
Automated censorship. Eh, saves us the trouble, I guess
“He’s not deformed, he’s just drunk!”
Trolls are usually above average literacy and trying to skilfully cause a fight. It's easy to identify "illiterate" people and humans are way too quick to judge someone who cannot spell as having nothing to contribute or (worse) malicious, but these are not trolls. This is just another classist meme where the person is judged positively by the overcomplexity of their language and convolution of their sentences, as this must mean they have been educamated right.
BTW I went to a £30k/year British boarding school, so I have no axe to grind, nor insecurity about describing things as they are.
within the first ten posts after the user joins
So, this algorithm only needs nine more posts than a troll will actually make per throwaway account, then?
That's some mighty fine police work there, Lou!
I can't wait til the anti-bullying crowd lobby for something like this wherever their children might be on the internet. Sounds like it is early days though, 20% false positives is pretty darn high.
For the love of all (if anything) that is still good and holy:
TURN
YOUR PHONE
SIDEWAYS
I've refrained from formatting this post (any more) obnoxiously vertical to emphasize.
and volunteer to help test. We have a steady stream of trolls available for review, a truly endless supply.
spacefem.com
Just because racial disparaging was acceptable back then doesn't make it right. Though I would question an arrest for speech.
I can see, how this may defeat (ab)users trolling for fun and not suspecting automated detection before it hits them (though, with only 80% accuracy, I dread the thought of the methods expanding out of the virtual realm).
But what about people "trolling" professionally — paid and/or otherwise compelled into it by a state or corporate actor pretending there to exist some kind of "grass-roots" movement? How would it deal with thousands of fake accounts mounting a coordinated assault, posting (while "liking" and "following" each other)?
Some times you may be able to catch accounts posting identical things at the same exact time (and ban them all in bulk), but Russians seem to have fixed that bug in their bots now...
This is turning into another battle like that, in which spammers have fought the best Information Technology minds into a standstill. I doubt, progress against forum-spammers will be much better than that — not when mere technology, however clever, is up against interests of a reasonably powerful state.
In Soviet Washington the swamp drains you.
Your talking about racism, this article is about internet trolls They are not the same. A person with a different view is not a troll. A person with a different opinion then you is not a troll. Ive been tagged a troll because of my views a few times.Many here will post as anomoue because they know there opinions will be viewed and tagged as a troll.
https://en.wikipedia.org/wiki/Internet_troll
Jack of all trades,master of none
yes, and now we get into the same sort of pointless useless territory as arguing about what "hacking" means
Because both "troll" and "hacking" have been made into pointless useless words through the magic of "common use" by common people who have no clue what they were supposed to mean.
"An algorithm that can detect trolls" is a meaningless statement. If it is an algorithm, it needs a definition to work from. That definition is not going to be based on historical or accurate usage of the term. In fact, the summary gives you a good idea what it will be based on:
So, the "definition" of "troll" is going to be "people who display unpopular or angry behavior when confronted by an intolerant social media environment." Gee, anyone slashdotted recently? "Community intolerance" is not the problem, I guess, it's the reaction of people in a supposedly open forum to that intolerance.
There will be no direct definition as such. It will be an empirical model based on correlation between use of angry or unpopular phrases and the subsequent ban of the poster. That's the new "troll". Say enough stuff that people don't like, you're a troll.