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Crowdsourcing systems on the World-Wide Web
Abstract
The practice of crowdsourcing is transforming the Web and giving rise to a new field.
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Cites
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Cited by
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Detection and Resolution of Rumours in Social Media: A Survey
Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2019) · ACM Computing Surveys · doi:10.1145/3161603 · Cited by 862
“While annotation is increasingly being performed through crowdsourcing platforms for many natural language processing and data mining tasks [Doan et al. 2011; Wang et al. 2013], it is not as suitable for more challenging annotation tasks such as rumour veracity.”
Towards an information systems perspective and research agenda on crowdsourcing for innovation
Majchrzak, A., & Malhotra, A. (2013) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2013.07.004 · Cited by 470
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Liu, Y., Huang, A., Luo, Y., Huang, H., Liu, Y., Chen, Y., Feng, L., Chen, T., Yu, H., & Yang, Q. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i08.7021 · Cited by 310
A location-based incentive mechanism for participatory sensing systems with budget constraints
Jaimes, L. G., Vergara-Laurens, I., & Labrador, M. A. (2012) · 2012 IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2012.6199855 · Cited by 256
Metadata
- Authors
- Doan, A., Ramakrishnan, R., & Halevy, A. Y.
- Venue
- Communications of the ACM
- Published
- 2011-04
- Volume
- 54
- Issue
- 4
- Pages
- 86-96
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2020740057
- Cited by
- 1,338
- References
- 1
- FWCI
- 248.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Crowdsourcing systems on the World-Wide Web. https://app.cochat.ai/papers/10.1145/1924421.1924442
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- Doan, A., Ramakrishnan, R., & Halevy, A. Y. (2011). Crowdsourcing systems on the World-Wide Web. Communications of the ACM. https://doi.org/10.1145/1924421.1924442
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.