Also: 1. If someone is paid to do captioning and/or categorization work, such as by a GLAM institution or a Wikimedia affiliate with a budget that supports this kind of work, then integrating this research into Wikimedia workflows could significantly increase that person's cost-effectiveness.
2. If volunteers are uploading large quantities of photos, this may make captioning and categorization much less time consuming and therefore volunteers may be more likely to do substantial captioning and categorization work instead of doing the minimum amount of work necessary. Pine On Wed, Sep 28, 2016 at 12:19 AM, Jan Dittrich <[email protected]> wrote: > I find it interesting which impact this could have on the sense of > achievement for volunteers, if captions are autogenerated or suggested and > them possibly affirmed or corrected. > On one hand one could assume a decreased sense of ownership, > on the other hand, it might be more easier to comment/correct then to > write from scratch and feel much more efficient. > > Jan > > > 2016-09-27 23:08 GMT+02:00 Dario Taraborelli <[email protected]>: > >> I forwarded this separately to internally at WMF a few days ago. Clearly >> – before thinking of building workflows for human contributors to generate >> captions or rich descriptors of media files in Commons – we should look at >> what's available in terms of off-the-shelf machine learning services and >> libraries. >> >> #1 rule of sane citizen science/crowdsourcing projects: don't ask humans >> to perform tedious tasks machines are pretty good at, get humans to curate >> inputs and outputs of machines instead. >> >> D >> >> On Mon, Sep 26, 2016 at 5:55 PM, Pine W <[email protected]> wrote: >> >>> Perhaps of interest: "...We’re making the latest version of our image >>> captioning system available as an open source model in TensorFlow." >>> https://research.googleblog.com/2016/09/show-and-tell-image- >>> captioning-open.html >>> >>> Pine >>> >>> _______________________________________________ >>> Wiki-research-l mailing list >>> [email protected] >>> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >>> >>> >> >> >> -- >> >> *Dario Taraborelli *Head of Research, Wikimedia Foundation >> wikimediafoundation.org • nitens.org • @readermeter >> <http://twitter.com/readermeter> >> >> _______________________________________________ >> Wiki-research-l mailing list >> [email protected] >> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >> >> > > > -- > Jan Dittrich > UX Design/ User Research > > Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin > Phone: +49 (0)30 219 158 26-0 > http://wikimedia.de > > Imagine a world, in which every single human being can freely share in the > sum of all knowledge. That‘s our commitment. > > Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. > Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter > der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für > Körperschaften I Berlin, Steuernummer 27/029/42207. > > _______________________________________________ > Wiki-research-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > >
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