Résumé : L'auteur revient sur les origines de l'idée de crowdsourcing en reprenant des concepts tels que l'intelligence collective, la mondialisation et les Big Data. Il passe en revue les principaux problèmes du crowdsourcing. Et il s'interroge sur l'avenir du crowdsourcing à la fois au niveau théorique et pratique, décrivant ses rôles possibles dans le journalisme, la gouvernance, la sécurité nationale, la science et la santé.
Abstract : Crowdsourcing, Brabham tells us, is an online, distributed problem solving and production model that leverages the collective intelligence of online communities for specific purposes set forth by a crowdsourcing organization corporate, government, or volunteer. Uniquely, it combines a bottom-up, open, creative process with top-down organizational goals. Crowdsourcing is not open source production, which lacks the top-down component; it is not a market research survey that offers participants a short list of choices; and it is qualitatively different from predigital open innovation and collaborative production processes, which lacked the speed, reach, rich capability, and lowered barriers to entry enabled by the Internet. Brabham describes the intellectual roots of the idea of crowdsourcing in such concepts as collective intelligence, the wisdom of crowds, and distributed computing. He surveys the major issues in crowdsourcing, including crowd motivation, the misconception of the amateur participant, crowdfunding, and the danger of "crowdsploitation" of volunteer labor, citing real-world examples from Threadless, InnoCentive, and other organizations. And he considers the future of crowdsourcing in both theory and practice, describing its possible roles in journalism, governance, national security, and science and health.