The DOI matches its Crossref record.
The Real Power of Artificial Markets
Abstract
Assessing the probabilities of future events is a problem often faced by science policymakers. For example, CERN, the European laboratory for particle physics, recently had to judge whether the probability of discovering a Higgs boson was high enough to justify extending the operation of its collider (see Science,
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Citations
Cited by
Predicting the future with social media
Asur, S., & Huberman, B. A. (2010) · 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology · doi:10.1109/wi-iat.2010.63 · Cited by 2,081
Wolfers, J., & Zitzewitz, E. (2004) · Journal of Economic Perspectives · doi:10.1257/0895330041371321 · Cited by 889
Leveraging analytics to produce compelling and profitable film content
Behrens, R., Foutz, N. Z., Franklin, M., Funk, J., Gutierrez-Navratil, F., Hofmann, J., & Leibfried, U. (2021) · Journal of Cultural Economics · doi:10.1007/s10824-019-09372-1 · Cited by 39
Keeping Rumors in Proportion: Managing Uncertainty in Rumor Systems
Krafft, P. M., & Spiro, E. S. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300876 · Cited by 9
Metadata
- Authors
- Pennock, D. M., Lawrence, S., Giles, C. L., & Nielsen, F. Å.
- Venue
- Science
- Published
- 2001-02-09
- Volume
- 291
- Issue
- 5506
- Pages
- 987-988
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1972265965
- Cited by
- 185
- References
- 0
- FWCI
- 4.71
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- CoChat. (2026). Citation check: The Real Power of Artificial Markets. https://app.cochat.ai/papers/10.1126/science.291.5506.987
- The paper
- Pennock, D. M., Lawrence, S., Giles, C. L., & Nielsen, F. Å. (2001). The Real Power of Artificial Markets. Science. https://doi.org/10.1126/science.291.5506.987
Data sources
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.
