I know from experience that this is the case because online volunteers working on the Australian Newspapers text correction have told me this. Also after adding thousands of new pages to the service, surges in text correction would be observed. This was a regular pattern.
Last week I was alerted to a great article in the Guardian
about crowdsourcing and two good blog posts on crowdsourcing in cultural
heritage. All three articles are well
worth reading and give some fascinating background to specific crowdsourcing
projects. They all touch on the fact that the crowd wants to be given as much
work as possible.
Ben Brumfield noticed that in his transcription project one
of his most valuable power users was slowing down on their transcriptions. The
user had started to cut back significantly in the time they spent transcribing
this particular set of manuscripts. Ben reached out to the user and asked about
it. Interestingly, the user responded to explain that they had noticed that
there weren’t as many scanned documents showing up that required transcription.
For this user, the 2-3 hours they spent each day working on transcriptions was
such an important experience, such an important part of their day, that they
had decided to cut back and deny themselves some of that experience. The user
needed to ration out that experience. It was such an important part of their
day that they needed to make sure that it lasted.
Crowdsourcing at IMLS Webwise 2012 by Ben Brumfield
Galaxy Zoo and the new dawn of citizen science, by Tim
Adams, 18 March 2012
The volunteers only worry that the source of their obsession
will dry up, and that they will run out of visible galaxies to classify.
"In the beginning," Alice Sheppard said, "we all were enjoying
it so much that we didn't like the idea of getting to the end." As it has
worked out, more data sets have kept becoming available just as one tranche of
images has been classified; now Sheppard believes that the work will continue
to expand like the objects of its attention, "though no one seems quite
sure how many galaxies are in the Hubble database?"
So the lesson we can learn from this is that we must give
our crowd as much work and new data as we can.
We don’t want our crowd to have to ‘ration themselves’
because we haven’t left them enough work to do.
Photo: a worker bee eats the last crumbs of my sticky date pudding.