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This paper is focused on community-based crowdsourcing applications, i.e. the ability of spawning crowdsourcing tasks upon multiple communities of performers, thus leveraging the peculiar characteristics and capabilities of the community members. We show that dynamic adaptation of crowdsourcing campaigns to community behaviour is particularly relevant. We demonstrate that this approach can be very effective for obtaining answers from communities, with very different size, precision, delay anddoi:10.1145/2567948.2578835 dblp:conf/www/BrambillaCMV14 fatcat:p5r55arwkjbfbo6ugc2bv6yzh4