Replying without the public GLAM list, this is a 'behind the scenes' observation...
Though it is great that more data about downloads are available, examining the Wikimedia Commons downloads of video, audio and images, is actually disheartening for me personally as someone who has worked for years uploading media from GLAM archives. The most popular videos and audios are almost all about graphic sex, which I guess tell us what we already know about what is the most popular types of media that the public wants to consume. Sadly GLAM photographic archives and lovely upload projects like the XenoCanto birdsongs, do not make it to the first couple of pages of results. As for images, the most used are related to nationalism, as national flags are the most heavily used images, presumably because of their mass usage in templates and auto-created infoboxes on articles.
So, I guess the learning point, is that we would need to re-frame what this data means for GLAM content creators and donors rather than judging things like "impact" or "importance to open knowledge" could ever be judged by being high or low by this metric.
Thanks, Fae
On Fri, 3 Jan 2020 at 03:07, Mutegeki Cliff mutegekicliff@gmail.com wrote:
This is very good news.
On Fri, Jan 3, 2020, 05:31 Kerry Raymond kerry.raymond@gmail.com wrote:
Good news indeed! Does this include metrics for articles within a category (thinking here specifically of the categories related to GLAM content partners) or do we stick with BaGLAMa 2 for that?
Kerry
*From:* GLAM [mailto:glam-bounces@lists.wikimedia.org] *On Behalf Of *Pine W *Sent:* Friday, 3 January 2020 7:34 AM *To:* Wikimedia Commons Discussion List commons-l@lists.wikimedia.org; Wikimedia Foundation Multimedia Team Multimedia@lists.wikimedia.org; Wikimedia & GLAM collaboration [Public] glam@lists.wikimedia.org *Subject:* [GLAM] Fwd: [Analytics] Introducing statistics for media files
Forwarding good news.
Pine ( https://meta.wikimedia.org/wiki/User:Pine )
---------- Forwarded message --------- From: *Francisco Dans* fdans@wikimedia.org Date: Mon, Dec 23, 2019 at 5:52 PM Subject: [Analytics] Introducing statistics for media files To: A mailing list for the Analytics Team at WMF and everybody who has an interest in Wikipedia and analytics. analytics@lists.wikimedia.org
Hi everybody,
Just in time for the holidays, we're announcing the addition of Media Requests to our metrics catalog. Over the last few months we've been working on a dataset offering request numbers for every single image, audio, video and document in the Wiki universe, since 2015.
This means we have 3 new metrics available in the Analytics Query Service:
- Media requests per referrer: e.g. how many images, audio, videos...
have been accessed from English Wikipedia in the last month? *73 billion for November http://stats.wikimedia.org/v2/#/en.wikipedia.org/content/total-mediarequests/normal%7Cbar%7C2-year%7C~total%7Cmonthly.*
- Media requests per file: e.g. how many hits did this cool painting
https://en.wikipedia.org/wiki/Christmas_tree#/media/File:Yggdrasil.jpg get in November? The answer is 483,791 hits https://wikimedia.org/api/rest_v1/metrics/mediarequests/per-file/all-referers/all-agents/%2Fwikipedia%2Fcommons%2Fb%2Fb9%2FYggdrasil.jpg/monthly/2019110100/2019120200 .
- Top files by media requests: e.g. what was the most popular video
yesterday, December 22nd? Fred Rogers testifying before the Senate Subcommittee on Communications http://stats.wikimedia.org/v2/#/en.wikipedia.org/content/top-mediarequests/normal%7Ctable%7Clast-month%7Cmedia_type~video%7Cmonthly. Fun! You can check out the top 1000 media files for any month or day, for any media type.
Media requests is, in terms of absolute numbers, a huge dataset, so the per file and top metrics are still being loaded with data all the way to 2015. We expect this loading to finish in mid January.
You can read more about this in Wikitech https://wikitech.wikimedia.org/wiki/Analytics/AQS/Mediarequests. As usual if you have any questions about the dataset or the new metrics please send them our way here on the list or via Phabricator.
Happy holidays!
Francisco + the A team
--
*Francisco Dans **(él, he, **彼**)*
Software Engineer, Analytics Team
Wikimedia Foundation
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