From March 21. I think I wrote so much because my wife uses de-li-cious, Flckr and Pinterest all the time! That’s why I built her a gaming machine folks. So she can pin things in Pinterest.
Kudos to Joan Beaudoin for her work on Flickr image tagging! Folksonomies are fascinating: they’re the will of the people, with all of the disorganization and chaos that accompany such freedom. Labyrinthine hierarchical structures laid out by people with arcane degrees? We don’t NEED no stinkin’ labyrinthine hierarchical structures! Power to the people! (Except when the people can’t find things that would be really cool for them to see because there’s no hierarchical structure operating in the background to ensure that they do).
My wife swears by delicious for her bookmarking needs and even uses it as a search engine- it works out really well, she claims, but I’m not so sure that I trust the folksonomy. So reading about Beaudoin’s methodical approach to studying Flickr was very interesting to me; she wanted to know two things: 1) was there an underlying pattern to image tagging and 2) how effective was the tagging. Beaudoin set up her study by gathering the “top 10 image tags of 14 randomly chosen Flickr users and downloaded them through the site’s open APIs.” She then applied labels to the 140 tags and then sorted them into 18 categories, which were then passed on to four people who assigned the tags to these categories. Beaudoin describes the agreements of all 5 as “modestly effective”. Having established that her method was suitable for moving forward, Beaudoin then determined some clear tagging preferences amongst Flickr users, namely: geographical locations and compound words were the top performers, with events following, and categories such as humor, poetic, and number falling well below 1%.
I was glad to see that Beaudoin addressed the problem of those who use tags that have personal meaning for them, but that have little meaning for other users. Beaudoin goes on to describe developments on Flickr’s end in the year after she completed her research: Flickr automatically date-stamps the image, identifies the type of camera used to take the image, and displays a map for any image that has been geotagged (and identifies other photos taken near that spot). As Beaudoin points out, this info may be all that’s available for an image if the uploader chooses not to tag it. Beaudoin posits that her research suggests some clear improvements that Flickr could implement: 1) prompting users with suggested tags, rather than expecting them to come up with them on their own (even to the point of providing thesaurae to aid in the tagging), and an automated pluralizing tool (“cat” would become “cats”, etc). She also suggests that it is our duty as IS professionals to assist people with tagging their images, which will then inform our own practices- a better understanding of how a patron thinks should influence how we think about tagging items for retrieval by patrons… which makes perfect sense to me.
Flickr Image Tagging: Patterns Made Visible by Joan Beaudoin