  Targeting the right group of workers for crowdsourcing often achieves better
quality results. One unique example of targeted crowdsourcing is seeking
community-situated workers whose familiarity with the background and the norms
of a particular group can help produce better outcome or accuracy. These
community-situated crowd workers can be recruited in different ways from
generic online crowdsourcing platforms or from online recovery communities. We
evaluate three different approaches to recruit generic and community-situated
crowd in terms of the time and the cost of recruitment, and the accuracy of
task completion. We consider the context of Alcoholics Anonymous (AA), the
largest peer support group for recovering alcoholics, and the task of
identifying and validating AA meeting information. We discuss the benefits and
trade-offs of recruiting paid vs. unpaid community-situated workers and provide
implications for future research in the recovery context and relevant domains
of HCI, and for design of crowdsourcing ICT systems.
