Tagging Done Right
Tuesday, May 20th, 2008
It’s not for everyone, but the Google Image Labeler is the best tagging application I’ve ever seen. It does a great job of filtering out spam by matching you with another human being to concurrently tag items. This avoids any sort of oddities with linguistic issues such as car vs. auto because both people have to use the same lexicon. This is crowd sourcing at it’s best.
A similar system could be implemented using caching to hold submissions for sites with significantly lower traffic than Google (that’s pretty much all sites right?) Once an image is tagged by 2-3 individuals, it could be “accepted.” Determining who’s who of course becomes the challenge, but a mixture of IP, user names, session information or any other number of “fingerprint” type technologies could help narrow it down to a reasonably accurate representation. Additionally, you could expire words after a predetermined time. Additionally, the concerns of spam may be trivial since 20 character tags are hardly helpful for spammers promoting products. Of course Google’s method avoids all caching all together by only letting live posts associate with the image.

The other thing Google does is make tagging a game. While this is hardly sufficient to help people get motivated to actually use the application for long periods of time, it’s a good effort and it can be addictive. Points are awarded to folks as the complete matches, giving them little actual value beyond seeing their names on a Google top 5 leader board (if they make the cut).
Last night I downloaded the full release of