emijrp,
thanks for starting this survey. I'd love to see more scholarly work specifically
focussed on bots in Wikipedia, how they affect the volume and quality of human
contributions, article assessment, vandalism detection or editor recruitment and also how
humans and bots interact and whether the design of bots can be informed by empirical
results. Apart from the literature on vandalism detection and discussions of bot edits in
the context of general research on edit patterns in Wikipedia, I am not familiar with
works specifically targeting this topic. Stuart Geiger has done some ethnographic work on
the social role of bots, I'd like to have pointers to more quantitative studies on the
topic.
Dario
On 30 Nov 2010, at 13:01, emijrp wrote:
Thanks to Cobi, Arkanosis and Andrew West for adding
some bots and tools to the census. If you have information about anti-vandalism bots in
your local language Wikipedia, please, notice me.
At the moment, ClueBot NG is the only bot which uses neural networks. The second
generation of bots is coming. : O
Regards,
emijrp
2010/11/29 emijrp <emijrp(a)gmail.com>
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
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