In this particular case I actually like the "Data analyst" because I think
it gives a good hint of what they're clicking into but, to be fair, the
giant graph that appears to be the default twitter preview also helps with
that :).

James Alexander
Community Advocacy
Wikimedia Foundation
(415) 839-6885 x6716 @jamesofur

On Tue, Aug 4, 2015 at 11:43 AM, Joe Sutherland <[email protected]>
wrote:

> That also works!
>
> Joe
>
> On 4 August 2015 at 19:42, Dario Taraborelli <[email protected]>
> wrote:
>
>> https://twitter.com/WikiResearch/status/628637177321095168
>>
>> On Tue, Aug 4, 2015 at 11:40 AM, Dario Taraborelli <
>> [email protected]> wrote:
>>
>>> also, in general I suggest we remove job titles to save characters – a
>>> name or a handle is usually enough for attribution and will save space for
>>> an image or a hashtag.
>>>
>>> On Tue, Aug 4, 2015 at 11:38 AM, Dario Taraborelli <
>>> [email protected]> wrote:
>>>
>>>> nice – thanks for the pointer, I'm tweeting the link from @WikiResearch
>>>>
>>>> D
>>>>
>>>> On Tue, Aug 4, 2015 at 11:07 AM, James Alexander <
>>>> [email protected]> wrote:
>>>>
>>>>> I think I'll leave the 'what else to do' to you professionals but
>>>>> agree that it's awesome data and would be nice to get some more out of it.
>>>>> Lisa may have some ideas/ know some folks in WPFashion. I know that she 
>>>>> has
>>>>> been off and on editing fashion articles and looking into the groups on
>>>>> wiki.
>>>>>
>>>>> Now about the social question I never have an issue opining ;) Reviews
>>>>> inline. Dario (copied in) may be interested in sharing from @Wikiresearch
>>>>> too?
>>>>>
>>>>> James Alexander
>>>>> Community Advocacy
>>>>> Wikimedia Foundation
>>>>> (415) 839-6885 x6716 @jamesofur
>>>>>
>>>>> On Tue, Aug 4, 2015 at 10:08 AM, Joe Sutherland <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> A cool, if a bit technical, blog post from data analyst Abraham
>>>>>> Mathew about Wikipedia statistics during Fashion Weeks.
>>>>>>
>>>>>> The original post is on Abraham Mathew's personal blog:
>>>>>> http://mathewanalytics.com/2015/08/03/wikipedia-and-the-fashion-weeks-a-look-at-usage-patterns/
>>>>>>
>>>>>> It was also syndicated to popular R blog Rbloggers:
>>>>>> http://www.r-bloggers.com/wikipedia-and-the-fashion-weeks-a-look-at-usage-patterns/
>>>>>>
>>>>>> Advice on which to use would be appreciated :)
>>>>>>
>>>>>
>>>>> At least for our main channels I'd probably lean towards the personal
>>>>> blog/mathewanalytics link. the r-bloggers site is definitely the 'bigger'
>>>>> one but I worry the layout etc will be a lot less inviting despite it 
>>>>> being
>>>>> the same post. It's a relatively difficult/technical to read layout. For a
>>>>> more technical audience like @Wikiresearch I'd use the r-bloggers link.
>>>>>
>>>>>>
>>>>>> *Possible social (Twitter):*
>>>>>> • Data analyst @abmathewks looks at Wikipedia page view trends during
>>>>>> Fashion Week. [link]
>>>>>>
>>>>> LGTM
>>>>>
>>>>>>
>>>>>> *FB/G+: *
>>>>>> • Data analyst Abraham Mathew makes some interesting findings in
>>>>>> Wikipedia page view statistics during several Fashion Week events. [link]
>>>>>>
>>>>>> LGTM
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>>
>>>>
>>>> *Dario Taraborelli  *Head of Research, Wikimedia Foundation
>>>> wikimediafoundation.org • nitens.org • @readermeter
>>>> <http://twitter.com/readermeter>
>>>>
>>>
>>>
>>>
>>> --
>>>
>>>
>>> *Dario Taraborelli  *Head of Research, Wikimedia Foundation
>>> wikimediafoundation.org • nitens.org • @readermeter
>>> <http://twitter.com/readermeter>
>>>
>>
>>
>>
>> --
>>
>>
>> *Dario Taraborelli  *Head of Research, Wikimedia Foundation
>> wikimediafoundation.org • nitens.org • @readermeter
>> <http://twitter.com/readermeter>
>>
>> _______________________________________________
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>
>
> --
> *Joe Sutherland*
> Communications Intern [remote]
> m: +44 (0) 7722 916 433 | t: @jrbsu <http://twitter.com/jrbsu> | w:
> JSutherland <https://meta.wikimedia.org/wiki/User:JSutherland_(WMF)>
>
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