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:gerard.meijssen@gmail.com]
Sent: Tuesday, 24 January 2017 3:46 PM
To: Kerry Raymond <kerry.raymond@gmail.com>; Research into Wikimedia content and communities <wiki-research-l@lists.wikimedia.org>
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 <kerry.raymond@gmail.com> 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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