…and on a final note, this is an awesome work in progress that attempts to 
classify Wikipedia articles based on a broad range of quality metrics 
(including AFT ratings).

https://github.com/slaporte/qualityvis


On Oct 27, 2012, at 1:42 PM, Dario Taraborelli <[email protected]> 
wrote:

> I forgot to mention Ashton Anderson's dataviz work based on AFTv4 data
> 
> https://graphics.stanford.edu/wikis/cs448b-11-fall/FP-AndersonAshton
> 
> On Oct 27, 2012, at 1:36 PM, Dario Taraborelli <[email protected]> 
> wrote:
> 
>> Taha,
>> 
>> other than the internal reports during the product dev phase [1] and some 
>> occasional uses of this data in the literature, there hasn't been much work 
>> on AFT ratings. To my knowledge, the best use of this data outside of WMF is 
>> in Adam Hyland's work (he presented a study at Wikimania [2] and I think 
>> he's working on a follow-up paper).
>> 
>> Dario
>> 
>> [1] http://www.mediawiki.org/wiki/Article_feedback/Research
>> [2] http://en.wikipedia.org/wiki/User:Protonk/Article_Feedback
>> 
>> 
>> On Oct 27, 2012, at 6:57 AM, Taha Yasseri <[email protected]> wrote:
>> 
>>> Hi Dario,
>>> Thank you. That's indeed a very interesting data set.
>>> 
>>> Is anyone aware of any study or analysis of this or similar data on 
>>> "article ratings"?
>>> Even a raw data analysis would be very helpful to set up a systematic 
>>> study. Unfortunately, I'm not update on the state of the art. 
>>> 
>>> cheers,
>>> .Taha
>>> 
>>> On Mon, Oct 22, 2012 at 10:51 PM, Dario Taraborelli 
>>> <[email protected]> wrote:
>>> We've released a full, anonymized dump of article ratings (aka AFTv4) 
>>> collected over 1 year since the deployment of the tool on the entire 
>>> English Wikipedia (July 22, 2011 - July 22, 2012).
>>> 
>>> http://thedatahub.org/en/dataset/wikipedia-article-ratings
>>> 
>>> The dataset (which includes 11m unique article ratings along 4 dimensions) 
>>> is licensed under CC0 and supersedes the partial dumps originally hosted on 
>>> the dumps server. Real-time AFTv4 data remains available as usual via the 
>>> toolserver. Feel free to get in touch if you have any questions about this 
>>> data.
>>> 
>>> Dario
>>> _______________________________________________
>>> Wiki-research-l mailing list
>>> [email protected]
>>> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>>> 
>>> 
>>> 
>>> -- 
>>> .t
>>> 
>>> _______________________________________________
>>> Wiki-research-l mailing list
>>> [email protected]
>>> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>> 
> 

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