UK monitoring programme

Through all of our programmes, we need to ensure that we are having a positive impact not just on the wider projects but on articles, editors, topics that fall within our geography. The idea is that this is to judge the health of the UK's presence on the wikimedia projects. The idea is that this method of practice can be duplicated across other geographies and chapters to allow other communities to monitor the health of their communities.

Things we need to know

• Number of active UK editors
• Demographics of active UK editors
• Activity and edits of active UK editors
• Quantity of UK related wikipedia articles
• Quality of UK related wikipedia articles
• Language coverage of wikipedia articles
• Quality of multi-language wikipedia articles
• number of UK related images
• Quality of UK related image
• UK GLAM coverage (and reputations)
• UK barriers to access reduction (reach increased, QRCodes, Kiwix, etc)

How to do this

How such measures are done vary based on what is doable now and what we should be aiming to do in the future.

• Activity and edits of active UK editors http://wikiproject.oii.ox.ac.uk/mapping_wikipedia/#lang=ar,arz,en,fa,fr,he,sw&map=words&loc=GBR
• Quantity of UK related wikipedia articles https://wdq.wmflabs.org/api?q=around[625,52.205,0.119,15] or https://www.mediawiki.org/wiki/Extension:GeoData#API http://tracemedia.co.uk/terra/ maybe also http://wikilocation.org/documentation/
  • Quality of UK related wikipedia articles: presumably a query subsetting based on project class ^
  • Subset of ^ based on different language versions
• Smaller list - items geolocated to UK, with "nolink" .en (i.e. objects with an article in another language but not English)
• number of UK related images see e.g. https://commons.wikimedia.org/wiki/Commons:Geocoding
• Quality of UK related image: presumably a query subsetting ^ - you'd want a comparison with the full set (so, percentage of UK related images of a particular quality, compared to that percentage from the subset of any geolocated images)

• Coordinate-grouped vs. "is in administrative unit" tree (how many in either group, subset)
• How many Wikidata items have an image / an article / an English article
• Other, non-geographic subgroups: British nationals, companies, etc.

TO BE CONTINUED

Resources

• https://dhs.stanford.edu/spatial-humanities/mapping-wikipedia-geolocated-articles-as-a-proxy-of-culture-and-attention/
• https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Geographical_coordinates
• http://zerogeography.net/
• http://wikiproject.oii.ox.ac.uk/mapping_wikipedia/
• Uneven Geographies of User-Generated Information: Patterns of Increasing Informational Poverty by Mark Graham, Bernie Hogan, Ralph Straumann, Ahmed Medhat (2014) in the Annals of the Association of American Geographers (see also The Geographically Uneven Coverage of Wikipedia, Information Geographies blog at the Oxford Internet Institute)
• Wikidata dumps
• https://meta.wikimedia.org/wiki/Grants:IEG/WikiBrainTools/UseCases