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.

Comments

In other words

[fustakrakich]

Automated censorship. Eh, saves us the trouble, I guess

This is fucking stupid.

[Anonymous Coward]

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.