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Crowdsourcing — Modell einer neuen Arbeitswelt im Internet

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Wirtschaftsinformatik & Management Aims and scope

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Literatur

  1. T. Hoßfeld, R. Schatz, M. Seufert, M. Hirth, T. Zinner, P. Tran-Gia: Quantification of YouTube QoE via Crowdsourcing. In: Proceedings of MQoE 2011, Dana Point, USA, 2011.

    Google Scholar 

  2. P. Ipeirotis: Analyzing the Amazon Mechanical Turk Marketplace. CeDER Working Papers, 2010.

    Google Scholar 

  3. J. Ross, L. Irani, M. S. Silberman, A. Zaldivar, and B. Tomlinson: Who are the Crowdworkers? Shifting Demographics in Mechanical Turk. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, Atlanta, USA, 2010.

    Google Scholar 

  4. M. Hirth, T. Hoßfeld, P. Tran-Gia: Anatomy of a Crowdsourcing Platform — Using the Example of Microworkers.com. In: Proceedings of the Workshop on Future Internet and Next Generation Networks (FINGNet), Seoul, Korea, 2011.

    Google Scholar 

  5. T. Hoßfeld, M. Hirth, P. Tran-Gia: Modeling of Crowdsourcing Platforms and Granularity of Work Organization in Future Internet. In: Proceedings of the International Teletraffic Congress (ITC), San Francisco, USA, 2011.

    Google Scholar 

  6. V. Sheng, F. Provost, P. Ipeirotis: Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers. In: Proceeding of the International Conference on Knowledge Discovery and Data Mining. Las Vegas, USA, 2008.

    Google Scholar 

  7. P. Dai, Mausam, D. Weld: Artificial Intelligence for Artificial Artificial Intelligence. In: Proceedings of the AAAI Conference on Artificial Intelligence. San Francisco, USA, 2011.

    Google Scholar 

  8. G. Little, L. Chilton, M. Goldman, R. Miller: TurKit: Tools for Iterative Tasks on Mechanical Turk. In: Proceedings of the Workshop on Human Computation. Paris, France, 2009

    Google Scholar 

  9. G. Kazai, N. Milic-Frayling, J. Costello: Towards Methods for the Collective Gathering and Quality Control of Relevance Assessments. In: Proceedings of the International Conference on Research and Development in Information Retrieval. Boston, USA, 2009.

    Google Scholar 

  10. S. Kochhar, S. Mazzocchi, P. Paritosh: The Anatomy of a Large-Scale Human Computation Engine. In: Proceedings of Workshop on Human Computation. Washington, USA, 2010.

    Google Scholar 

  11. M. Hirth, T. Hoßfeld, P. Tran-Gia: Analyzing Costs and Accuracy of Validation Mechanisms for Crowdsourcing Platforms. Mathematical and Computer Modeling, Volume 57, 2013.

    Article  Google Scholar 

  12. M. Vukovic, S. Kumara, O. Greenshpan: Workshop on Ubiquitous Crowdsourcing in 2010 and 2011.

  13. M. Bernstein, J. Brandt, R. Miller, D. Karger: Crowds in Two Seconds: Enabling Realtime Crowd-powered Interfaces. In: Proceedings of the ACM Symposium on User Interface Software and Technology. Santa Barbara, USA, 2011

    Google Scholar 

  14. M. Vukovic, C. Bartolini: Towards a Research Agenda for Enterprise Crowdsourcing. In: Proceedings of the Conference on Leveraging Applications of Formal Methods, Verifications, and Validations. Heraklion, Greece, 2010.

    Google Scholar 

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Dieser Artikel ist eine aktualisierte Fassung von „Aktuelles Schlagwort: Crowdsourcing“ aus Informatik Spektrum, 3/2012.

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Hoßfeld, T., Hirth, M. & Tran-Gia, P. Crowdsourcing — Modell einer neuen Arbeitswelt im Internet. Wirtsch Inform Manag 5, 62–69 (2013). https://doi.org/10.1365/s35764-013-0346-8

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