Well you would have to drill down into the data to find their definitions
of bot users, but the conclusions seem to state that this is all pretty
premature anyway. If you look at the overall statistics that just measure
the basics (number of labels/descriptions/statements per item over time,
etc.) it starts to tell the story of Wikidata in a more meaningful way. See
the stats page here: https://tools.wmflabs.org/wikidata-todo/stats.php

On Thu, Sep 7, 2017 at 9:01 AM, Ettore RIZZA <[email protected]> wrote:

> The Springer paywall is no longer a problem for open science since there
> is a certain Russian website, but in this case I see that we can find the
> full article on ResearchGate:
> https://www.researchgate.net/profile/Alessandro_Piscopo/
> publication/319272942_What_makes_a_good_collaborative_
> knowledge_graph_Group_composition_and_quality_in_Wikidata/links/
> 599fd3d2a6fdccf594266835/What-makes-a-good-collaborative-
> knowledge-graph-Group-composition-and-quality-in-Wikidata .pdf
>
> 2017-09-07 8:46 GMT+02:00 Gerard Meijssen <[email protected]>:
>
>> Hoi,
>> Sorry but with only conclusions it is just that.. hidden behind a
>> paywall. Consequently it does not make a difference; our community cannot
>> comment. Please choose a different venue for publications.
>> Thanks,
>>      GerardM
>>
>> On 7 September 2017 at 08:37, Ettore RIZZA <[email protected]> wrote:
>>
>>> Well, here is a fresh paper that seems to have been written to answer
>>> the questions I had after this discussion.
>>>
>>> " We performed a regression analysis to investigate how the
>>> contribution of different types of users, i.e. bots and human editors,
>>> registered or anonymous, influences outcome quality in Wikidata. Moreover,
>>> we looked at the effects of tenure and interest diversity among registered
>>> users. Our findings show that a balanced contribution of bots and human
>>> editors positively influence outcome quality, whereas higher numbers of
>>> anonymous edits may hinder performance. Tenure and interest diversity
>>> within groups also lead to higher quality. "
>>>
>>> https://link.springer.com/chapter/10.1007/978-3-319-67217-5_19
>>>
>>> 2017-09-02 15:53 GMT+02:00 Jane Darnell <[email protected]>:
>>>
>>>> Thanks! That really made me laugh and I needed that. The wonderful
>>>> story of Wikidata's history set within the wonderful story of Wikipedia's
>>>> history anno 2014 is truly amazing. Using that information to describe
>>>> Wikidata today is like trying to imagine the "bot wars" that have recently
>>>> become a viral hit on various social media websites. You could say Wikidata
>>>> was born out of a need to end "bot wars" between updating interwikilink
>>>> bots. After that "bot war" ended though, it looks like we created a new
>>>> "bot war" where Wikipedians became afraid of this new project because they
>>>> might get bitten by a bot.
>>>> https://blog.wikimedia.org/2017/08/30/wikipedia-bot-pocalypse/
>>>>
>>>> On Sat, Sep 2, 2017 at 3:05 PM, Ettore RIZZA <[email protected]>
>>>> wrote:
>>>>
>>>>> Hi Jane,
>>>>>
>>>>> I'm really sorry if my naïve comment made you sad. :/ To be clearer, I
>>>>> never wanted to minimize the contribution of the volunteers! It's just 
>>>>> that
>>>>> I still don't know the internal mechanics of Wikidata. I recently read in 
>>>>> a
>>>>> paper, already a bit old*, that 90% of editions were made by bots. I just
>>>>> thought that the mapping between the Wikipedia editions and Wikidata was
>>>>> part of these 90% automated tasks, after which the volunteers had to add
>>>>> the missing 10%, correct and enrich the automatic operations, etc. I'm
>>>>> sorry if I misunderstood.
>>>>>
>>>>> ** " Wikidata has grown significantly since its launch in October
>>>>> 2012; see the table here for key facts about its current content. It has
>>>>> also become the most edited Wikimedia project, with 150– 500 edits per
>>>>> minute, or a half million per day, about three times as many as the 
>>>>> English
>>>>> Wikipedia. Approximately 90% of these edits are made by bots contributors
>>>>> create for automating tasks, yet almost one million edits per month are
>>>>> still made by humans."* (VRANDEČIĆ, Denny et KRÖTZSCH, Markus.
>>>>> Wikidata: a free collaborative knowledgebase. *Communications of the
>>>>> ACM*, 2014, vol. 57, no 10, p. 78-85.)
>>>>>
>>>>> 2017-09-02 14:42 GMT+02:00 Ed Summers <[email protected]>:
>>>>>
>>>>>>
>>>>>> > On Sep 2, 2017, at 7:47 AM, Jane Darnell <[email protected]> wrote:
>>>>>> >
>>>>>> > Your note really made me feel so sad. I try to motivate my
>>>>>> Wikipedian friends into doing more on Wikidata and each time they react 
>>>>>> the
>>>>>> way you did, with a sentence like "I imagined that the mapping between
>>>>>> Wikipedia and Wikidata was ultra-automated." I guess there is something
>>>>>> about the "data" word in the same that makes people assume it is 
>>>>>> technical,
>>>>>> or that being "machine-readable" makes it impossible for humans to read 
>>>>>> and
>>>>>> without "bot" knowlege, there is no place for "normal contributors" to 
>>>>>> help
>>>>>> out.
>>>>>>
>>>>>> I appreciate this perspective a great deal. I think it's great that
>>>>>> you are motivating users to edit Wikidata--it's really important. 
>>>>>> Wikidata
>>>>>> is nothing (IMHO) without the human-in-the-loop.
>>>>>>
>>>>>> But as a practical matter wouldn't it be useful if there were stubs
>>>>>> in Wikidata that would help editors identify which entities need 
>>>>>> attention?
>>>>>> Or would the vastness of it cause a problem?
>>>>>>
>>>>>> I can certainly see an argument for an embargo period to give
>>>>>> counter-vandalism efforts a chance to triage the new pages. But after 
>>>>>> that
>>>>>> point wouldn't it be useful if a bot monitored the language wikipedias 
>>>>>> for
>>>>>> new entries and then added them to Wikidata so that people could fill 
>>>>>> them
>>>>>> out?
>>>>>>
>>>>>> I'm just throwing ideas around here, and am not trying to be critical
>>>>>> of the current state of affairs. You all are doing amazing work.
>>>>>>
>>>>>> //Ed
>>>>>>
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>>>>>>
>>>>>>
>>>>>
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