Total inbound links from Twitter, Facebook and Google +.  There are API
calls for that, and reach of content (not necessarily page views in and out
themselves) is considered an important metric in journalism.   Some of this
is done by external non-WMF sources for all links but being able to easily
have this data in a place where it can be gathered in bulk would be very
useful.  See
http://topsy.com/trackback?url=http%3A%2F%2Fen.wikinews.org%2Fwiki%2FWikimedian_activist_Adrianne_Wadewitz_diesas
one place.  Page views in and of themselves are not a useful metric,
especially given the demonstrated problems with accuracy.

Sincerely,
Laura Hale


On Thu, Apr 10, 2014 at 8:45 PM, Oliver Keyes <[email protected]> wrote:

> By 'total links' do you mean 'referer tracking from other websites'?
> Because I don't think we're doing that, and that makes me feel...very
> uncomfortable. It also wouldn't be at all reliable, because HTTPS strips
> the referer.
>
> The other requests look interesting but relatively niche and difficult to
> instrument.
>
>
> On 10 April 2014 17:57, Laura Hale <[email protected]> wrote:
>
>>
>> On Thu, Apr 10, 2014 at 7:05 PM, Henrik Abelsson <[email protected]>wrote:
>>
>>>  Hi everyone,
>>>
>>> So, quick update: I've received the server installed it and set up an
>>> instance of the code on and sent it on my hosting provider, and they've
>>> received it and are hooking it up. I'll migrate over stats.grok.se to
>>> the new server asap, hopefully over the weekend.
>>>
>>> Hopefully it will be much faster for users, and GLAM usage in
>>> particular. I'm also feeling pretty motivated to code new features after
>>> you guys, and Toby in particular, have been so generous as to provide the
>>> stats service with hardware. So, I'm taking suggestions - anything in
>>> particular you'd like to see implemented on stats.grok.se first?
>>>
>>
>> As an end user who manually datamines a lot of stuff for reports I write,
>> my wish list would be to be able to get an open office document that would
>> let me generate a report like
>> https://en.wikinews.org/wiki/File:Spanish_competitors_at_the_IPC_Athletics_World_Championships.pdfand
>> https://en.wikinews.org/wiki/File:IPC_NorAmCup.pdf .  Some of these
>> tools exist in isolation or I just do not know about them. :-/
>> https://toolserver.org/~magnus/ts2/treeviews/ and
>> https://tools.wmflabs.org/glamtools/glamorous.php and
>> http://tools.wmflabs.org/glamtools/baglama.php come to mind.
>>
>> Desirable data is by day page views (for event tracking and understanding
>> viewing patterns for content around a specific category) that can be looked
>> at against the context of social media linking (total links to content on a
>> daily basis, who is linking to it, how many followers they have or how many
>> views the linked to content gets on a native site).  It would also be
>> useful to get some of this data mapped against total daily edits alongside
>> daily views to get a better idea if getting people to collaborate on an
>> article results in increased views. The total number of images added to a
>> specific category during a certain timeframe, the number of uses of those
>> images and the number of page views to images where those articles were
>> used.  Number of articles linking to a certain domain or URL across
>> multiple language projects and page views to articles containing links to
>> those.  This information being easy to combine and tabulate more easily
>> into one document for the purposes of explaining broader patterns would be
>> useful.
>>
>> Sincerely,
>> Laura Hale
>>
>>
>>
>> --
>> twitter: purplepopple
>>
>> _______________________________________________
>> Analytics mailing list
>> [email protected]
>> https://lists.wikimedia.org/mailman/listinfo/analytics
>>
>>
>
>
> --
> Oliver Keyes
> Research Analyst
> Wikimedia Foundation
>
> _______________________________________________
> Analytics mailing list
> [email protected]
> https://lists.wikimedia.org/mailman/listinfo/analytics
>
>


-- 
twitter: purplepopple
_______________________________________________
Analytics mailing list
[email protected]
https://lists.wikimedia.org/mailman/listinfo/analytics

Reply via email to