iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics"
Summary: iCheck models claims on structured data as parameterized queries and analyzes how perturbing parameters change results to gauge claim quality beyond accuracy. It counters cherry-picked evidence by measuring robustness, demonstrated on congress voting records, sports statistics, and publication records of database researchers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. You Wu (Duke University)
- 2. Brett Walenz (Duke University)
- 3. Peggy Li (Duke University)
- 4. Andrew Shim (Duke University)
- 5. Emre Sonmez (Duke University)
- 6. Pankaj K. Agarwal (Duke University)
- 7. Chengkai Li (University of Texas)
- 8. Jun Yang (Duke University)
- 9. Cong Yu (Google)
BibTeX Citation
@inproceedings{wu_sigmod14,
title = {{iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics"}},
author = {Wu, You and Walenz, Brett and Li, Peggy and Shim, Andrew and Sonmez, Emre and Agarwal, Pankaj K. and Li, Chengkai and Yang, Jun and Yu, Cong},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2594522},
url = {https://dl.acm.org/doi/10.1145/2588555.2594522},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,077 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD | 6.3730257e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,127 | Toward Computational Fact-Checking | 2014 | VLDB | 7.7308958e-05 |
| 4,033 | Computational Journalism: A Call to Arms to Database Researchers | 2011 | CIDR | 6.9449851e-05 |
| 6,222 | Fact Checking and Analyzing the Web | 2013 | SIGMOD | 5.9425753e-05 |
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