  Crowdsourcing platforms are a powerful and convenient means for recruiting
participants in online studies and collecting data from the crowd. As
information work is being more and more automated by Machine Learning
algorithms, creativity $-$ that is, a human's ability for divergent and
convergent thinking $-$ will play an increasingly important role on online
crowdsourcing platforms. However, we lack insights into what crowd workers
think about creative work. In studies in Human-Computer Interaction (HCI), the
ability and willingness of the crowd to participate in creative work seems to
be largely unquestioned. Insights into the workers' perspective are rare, but
important, as they may inform the design of studies with higher validity. Given
that creativity will play an increasingly important role in crowdsourcing, it
is imperative to develop an understanding of how workers perceive creative
work. In this paper, we summarize our recent worker-centered study of creative
work on two general-purpose crowdsourcing platforms (Amazon Mechanical Turk and
Prolific). Our study illuminates what creative work is like for crowd workers
on these two crowdsourcing platforms. The work identifies several archetypal
types of workers with different attitudes towards creative work, and discusses
common pitfalls with creative work on crowdsourcing platforms.
