Hi all; I'm creating a census[1] with all the anti-vandalism bots in the Wikimedia projects history. I want to research the features and techniques used in all these past years. I need your help for compiling all the nicks of those bots. You can help adding info to the page, but if you don't have free time for that, write only the nickname and I will retrieve all the available info about the bot.
With the currently available information, I have found two main categories of anti-vandalism bots: * First generation: simple scoring systems based in regular expressions and heuristics. * Second generation: machine learning, neural networks and bayesian filters. Have you got suggestions to this classification? What is your opinion about the past and the future of anti-vandalism bots? Can FlaggedRevs and similar approaches make these bots useless? Thanks, emijrp [1] http://en.wikipedia.org/wiki/User:Emijrp/Anti-vandalism_bot_census#Census _______________________________________________ foundation-l mailing list foundation-l@lists.wikimedia.org Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/foundation-l
