Yes, but when you are one of many English-speaking nations and in a world where 
English is widely spoken as a 2nd language, it’s hard to know if outreach from 
your chapter has any impact on en.WP. WMF asks for success metrics  / KPIs or 
whatever you like to call them. Right now it’s hard to gather any evidence. 
Obviously where there is a high correlation between language and nation, it’s 
quite plausible that see WP contributions in that language have arisen from 
editor activity in that nation. In Australia, we do not have that situation. 
Therefore, if there was a known correlation between Australian user activity 
and Australian content activity, then we could use the content activity as a 
proxy for editor activity. Right now, I don’t think we have the evidence either 
way as to whether there would be any validity in that proxy assumption.

 

My comments follow from the earlier thread about chapters. At the moment we do 
things in chapter in the hope they “help”. Frankly that could be a big waste of 
everyone’s time if there is no impact. It’s actionable all right. We might stop 
doing some things and start doing other things or we might be motivated to put 
even more effort into existing things. It could help us determine if a more 
general program (like 1Lib1Ref) was succeeding or not in different countries 
which would be starting point for trying to understand why it works better in 
some than others.

 

Kerry

 

 

From: Gerard Meijssen [mailto:[email protected]] 
Sent: Tuesday, 24 January 2017 3:46 PM
To: Kerry Raymond <[email protected]>; Research into Wikimedia content 
and communities <[email protected]>
Subject: Re: [Wiki-research-l] regional KPIs

 

Hoi,

What Wikipedia? It is highly likely that articles written about any subject are 
written by people who know the language involved. This means that all articles 
about the United States are most likely written in Indonesia when the language 
is Javanese or in the Netherlands when the language is Dutch. We know from 
research that was done in them olden days that for some languages there are 
emigre community that writes a lot; this was true for Napoleatan.

 

While I understand the interest in the question, what is it we will benefit 
from researching this? There is plenty of actionable research we could do. Or 
to put it more bluntly, when we seek parameters that may drive more editing/ 
quality edits research will be of benefit. When we want to ensure a more 
consistent point of view over all our Wikipedias I would understand the need 
for research (have ideas on that one). 

Thanks,

      GerardM

 

On 24 January 2017 at 02:12, Kerry Raymond <[email protected] 
<mailto:[email protected]> > wrote:

As previously came up in discussion about chapters, it would be very useful to 
have national data about Wikipedia activities, which can be determined 
(generally) from IP addresses. Now I understand the privacy argument in 
relation to logged-in users (not saying I agree with it though in relation to 
aggregate data). However, can we find a proxy that does not have the privacy 
considerations.

 

My hypothesis is that national content is predominantly written by users 
resident in that nation. And that therefore activity on national content can be 
used as a proxy for national user editing activity. 

 

In the case of Australia, we could describe Australian national content in 
either of two ways: articles within the closure of the [[Category:Australia]] 
and/or those tagged as  {{WikiProject Australia}}. There are arguments 
for/against either (neither is perfect, in my experience the category closure 
will tend to have false positives and the project will tend to have false 
negatives).

 

I would like to know what correlation exists between national editor activity 
(as determined from IP addresses mapped to location) and national content edits 
and if/how it changes over time for various nations. This is research that only 
WMF can do because WMF has the IP addresses and the rest of us can’t have them 
for privacy reasons.

 

If we could establish that a strong-enough correlation existed between them, we 
could use national content activity (for which there is no privacy 
consideration) as a proxy for national editing activity. And we might even be 
able to come up with a multiplier for each nation to provide comparable data 
for national editing activity.

 

Now, it may be that we need to restrict the edits themselves in some way to 
maximise the correlations between national content and same-nation editor 
activity.

 

My second hypothesis is “semantic” edits (e.g. edits that add large amounts of 
content or citation) to national content will be more highly correlated with 
same-nation editors than “syntactic” edits (e.g. fix spelling, punctuation or 
Manual of Style issues) will be. I suspect most bots and other 
automated/semi-automated edits are doing syntactic edits.

 

Now, some of you will probably be aware of 
[https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2017-01-17/Recent_research
 Female Wikipedians aren't more likely to edit women biographies]. So it may 
well be that my patriotic-editing hypothesis is also untrue. But it would be 
nice to know one way or the other.

 

Kerry

 


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