The DOI matches its Crossref record; 179 of the 179 references it cites were found in a registry or an index.
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
Abstract
In the era of data information explosion, there are different observations on an object (e.g., the height of the Himalayas) from different sources on the web, social sensing, crowd sensing, and data sensing applications. Observations from different sources on an object can conflict with each other due to errors, missing records, typos, outdated data, etc. How to discover truth facts for objects from various sources is essential and urgent. In this paper, we aim to deliver a comprehensive and exhaustive survey on truth discovery problems from the perspectives of concepts, methods, applications, and opportunities. We first systematically review and compare problems from objects, sources, and observations. Based on these problem properties, different methods are analyzed and compared in depth from observation with single or multiple values, independent or dependent sources, static or dynamic sources, and supervised or unsupervised learning, followed by the surveyed applications in various scenarios. For future studies in truth discovery fields, we summarize the code sources and datasets used in above methods. Finally, we point out the potential challenges and opportunities on truth discovery, with the goal of shedding light and promoting further investigation in this area.
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Cites
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Metadata
- Authors
- Wang, S., Zhang, H., Sheng, Q. Z., Li, X., Sun, Z., Cai, T., Zhang, W. E., Yang, J., & Gao, Q.
- Venue
- IEEE Transactions on Big Data
- Published
- 2025-04
- Volume
- 11
- Issue
- 2
- Pages
- 314-332
- ISSN
- 2332-7790
- 2372-2096
- Cited by
- 11
- References
- 179
- Licence
- Funders
- National Key Research and Development Program of China (2022YFF0902800)
- Natural Science Foundation of Jiangsu Province (BK20220803)
- National Natural Science Foundation of China (62302095)
- Australian Research Council Discovery Projects (DP200102298, DP230100233)
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- Wang, S., Zhang, H., Sheng, Q. Z., Li, X., Sun, Z., Cai, T., Zhang, W. E., Yang, J., & Gao, Q. (2025). A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. IEEE Transactions on Big Data. https://doi.org/10.1109/tbdata.2024.3423677
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