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| From | RS Wood <rsw@therandymon.com> |
|---|---|
| Newsgroups | comp.misc, alt.just.trolling |
| Subject | Re: [CM] Troll spotting algorithm |
| Date | 2015-04-15 11:26 +0000 |
| Organization | solani.org |
| Message-ID | <mgu10c-mv5.ln1@koala.therandymon.com> (permalink) |
| References | <mgj9jq$538$1@solani.org> <mgjkl9$8v2$2@dont-email.me> <mgjlmq$ibd$2@speranza.aioe.org> <mgjm6u$en3$1@dont-email.me> <mgjvpf$dcl$1@speranza.aioe.org> |
Cross-posted to 2 groups.
On 2015-04-14, Hils <hils@saynotospam.net> wrote: >> And the ensuing battles will be known as the Troll Wars. > > It could be a way of developing AI systems, with troll bots and troll > detectives playing cat and mouse among the human population, scoring > points for evading detection or soliciting human replies, losing > points for false accusations. They could be the Turing Troll Wars. That would make this classic XKCD germane: https://xkcd.com/810/ "Spammers are breaking traditional captchas with AI, so I've built a new system. It asks users to rate a slate of comments as 'constructive' or 'not constructive' ... " I /do/ miss the days of really clever trolling: subtle remarks designed to casually cause a conflagration. These days so much of it is simple ass-hattery. I thought a bit about what this type of algorithm would look like: the science ought to be something like Bayesian filtering, probabilities of word order, and so on. But it's hard to pick out sarcasm, nuances of humor, and the like. Post length is no easy indicator. No single vocabulary word gives it away. IP address might help these days now that so few are on dial-up and user addresses stay the same for longer. On Usenet, user name often helps (ignore any post from a user named "obamasucks@donkeyballs.org" or whatever on the grounds a fake ID with an inflammatory address is likely to be out to stir the pot?). You could look for patterns of a user consistently replying after a post about certain subjects (which would draw out the single-issue haters). Beyond that, this isn't easy stuff and I'd think the false-positives would be ridiclous. There are frequent, long discussions on soylentnews about how to tweak the karma and scoring algorithms, but it always comes down to users trying to adjust the math so they hear only from people they want to and are barred from seeing posts from people they don't want to hear from. Usenet, for all its shortcomings, does away with the issue by letting anyone post anything and leaving it to the user with his killfile and filters to sort out the damage. Maybe the only way to win the game is not to play it ...
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[CM] Troll spotting algorithm RS Wood <rsw@therandymon.com> - 2015-04-14 14:52 +0000
Re: [CM] Troll spotting algorithm Dan Espen <despen@verizon.net> - 2015-04-14 14:02 -0400
Re: [CM] Troll spotting algorithm Hils <hils@saynotospam.net> - 2015-04-14 19:19 +0100
Re: [CM] Troll spotting algorithm Dan Espen <despen@verizon.net> - 2015-04-14 14:28 -0400
Re: [CM] Troll spotting algorithm Hils <hils@saynotospam.net> - 2015-04-14 22:11 +0100
Re: [CM] Troll spotting algorithm RS Wood <rsw@therandymon.com> - 2015-04-15 11:26 +0000
Re: [CM] Troll spotting algorithm Bud Frede <frede@mouse-potato.com> - 2015-04-23 12:42 -0400
Re: [CM] Troll spotting algorithm Shadow <Sh@dow.br> - 2015-04-14 17:20 -0300
Re: [CM] Troll spotting algorithm Andy Burns <usenet.feb2014@adslpipe.co.uk> - 2015-04-14 22:10 +0100
Re: [CM] Troll spotting algorithm Bruce Horrocks <07.013@scorecrow.com> - 2015-04-15 11:02 +0100
Re: [CM] Troll spotting algorithm Dan Espen <despen@verizon.net> - 2015-04-15 11:45 -0400
Re: [CM] Troll spotting algorithm Sylvia Else <sylvia@not.at.this.address> - 2015-04-16 23:15 +1000
Re: [CM] Troll spotting algorithm Bud Frede <frede@mouse-potato.com> - 2015-04-23 12:30 -0400
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