OREO: Detection of Cherry-picked Generalizations
Summary: OREO detects cherry-picked generalizations by refining aggregate queries to assess their validity. It provides a support score and surfaces counterexamples and alternative statements, enabling interactive validation and explanation of data generalizations. (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. Yin Lin (University of Michigan)
- 2. Brit Youngmann (Massachusetts Institute of Technology)
- 3. Yuval Moskovitch (University of Michigan)
- 4. H. V. Jagadish (University of Michigan)
- 5. Tova Milo (Tel Aviv University)
BibTeX Citation
@article{lin_vldb22,
title = {{OREO: Detection of Cherry-picked Generalizations}},
author = {Lin, Yin and Youngmann, Brit and Moskovitch, Yuval and Jagadish, H. V. and Milo, Tova},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3570--3573},
doi = {10.14778/3554821.3554846},
url = {https://doi.org/10.14778/3554821.3554846},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,369 | Finding Convincing Views to Endorse a Claim | 2025 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,172 | Toward Computational Fact-Checking | 2014 | VLDB | 7.5658423e-05 |
| 4,861 | On Detecting Cherry-picked Trendlines | 2020 | VLDB | 6.3762488e-05 |
| 4,957 | Verifying Text Summaries of Relational Data Sets | 2019 | SIGMOD | 6.3379906e-05 |
| 5,069 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB | 6.28697e-05 |
| 9,587 | On Detecting Cherry-picked Generalizations | 2022 | VLDB | 5.154741e-05 |
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