Crowdsourcing has worked especially
well for certain kinds of tasks,
typically, ones that are fast to complete,
incur low cognitive load, have
low barriers to entry, are objective and
verifiable, require little expertise, and
can be broken up into independent
subtasks. Examples in Mechanical
Turk include tagging images, evaluating
search results, finding contact information,
and labeling data for use in
machine learning.