Finding Convincing Views to Endorse a Claim

Summary: Reverse task: find significant, “natural” selection views that convincingly support or rebut a given aggregate-comparison claim, exposing potential cherry-picking. Propose multiple naturalness measures and anytime two-stage algorithms—rank attribute combinations with cheap features, then efficiently search views—and validate quality, cost, and usability experimentally and via a user study. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 14053
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,740 | 25.29%
DOI: 10.14778/3705829.3705857

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,140	Analyzing Deviations from Monotonic Trends through Database Repair	2026	SIGMOD	4.1945683e-05
10,147	Causal Explanations for Disparate Trends: Where and Why?	2026	SIGMOD	4.1945683e-05
10,213	Stress-Testing Causal Claims via Cardinality Repairs	2026	SIGMOD	4.1945683e-05
10,809	ClaimIt: Finding Convincing Views to Endorse a Claim	2025	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 35 of 35 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
214	Scorpion: Explaining Away Outliers in Aggregate Queries	2013	VLDB	0.0003363692
247	On the Computation of Multidimensional Aggregates	1996	VLDB	0.00030927763
460	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB	0.00022516069
487	Why Not?	2009	SIGMOD	0.00022050218
942	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00015155714
1,000	Intelligent Rollups in Multidimensional OLAP Data	2001	VLDB	0.00014709252
1,099	Interpretable and Informative Explanations of Outcomes	2015	VLDB	0.00014096312
1,119	The Complexity of Causality and Responsibility for Query Answers and non-Answers	2011	VLDB	0.0001386199
1,830	Relaxing Join and Selection Queries	2006	VLDB	0.000103862
1,867	Interpretable Data-Based Explanations for Fairness Debugging	2022	SIGMOD	0.00010272055
2,402	Causality and Explanations in Databases	2014	VLDB	8.8928361e-05
2,509	ClaimBuster: The First-ever End-to-end Fact-checking System	2017	VLDB	8.6260643e-05
2,602	Tracing Data Errors with View-Conditioned Causality	2011	SIGMOD	8.4667197e-05
2,649	Explaining Query Answers with Explanation-Ready Databases	2016	VLDB	8.3719123e-05
2,810	Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query)	2018	SIGMOD	8.0810163e-05
2,923	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals	2021	SIGMOD	7.8953538e-05
3,340	Toward Computational Fact-Checking	2014	VLDB	7.2030091e-05
3,546	Extracting Top-K Insights from Multi-dimensional Data	2017	SIGMOD	6.9870745e-05
3,686	On Detecting Cherry-picked Trendlines	2020	VLDB	6.84423e-05
3,819	Promotion Analysis in Multi-Dimensional Space	2009	VLDB	6.7299866e-05
4,816	Scrutinizer: Fact Checking Statistical Claims	2020	VLDB	5.900769e-05
5,191	Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances	2019	SIGMOD	5.6378768e-05
5,217	QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data	2019	SIGMOD	5.6227959e-05
5,313	XInsight: eXplainable Data Analysis Through The Lens of Causality	2023	SIGMOD	5.573009e-05
5,418	High-Level Why-Not Explanations using Ontologies	2015	PODS	5.5178123e-05
5,691	Putting Things into Context: Rich Explanations for Query Answers using Join Graphs	2021	SIGMOD	5.3684557e-05
6,643	Query Refinement for Diversity Constraint Satisfaction	2024	VLDB	4.9786132e-05
7,222	Guided Exploration of Data Summaries	2022	VLDB	4.797186e-05
7,262	HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries	2018	VLDB	4.78584e-05
7,731	AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets	2019	VLDB	4.6658615e-05
8,388	FEDEX: An Explainability Framework for Data Exploration Steps	2022	VLDB	4.5297787e-05
9,766	DPXPlain: Privately Explaining Aggregate Query Answers	2023	VLDB	4.2856106e-05
10,809	ClaimIt: Finding Convincing Views to Endorse a Claim	2025	VLDB	4.1945683e-05
11,393	OREO: Detection of Cherry-picked Generalizations	2022	VLDB	4.1945683e-05
11,419	On Detecting Cherry-picked Generalizations	2022	VLDB	4.1945683e-05

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Overall Rank	Paper	Year	Venue	Pagerank
9,054	Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise	2019	VLDB	4.4039656e-05
976	Answering Queries Using Limited External Query Processors	1996	PODS	0.0001489085
8,295	View Selection over Knowledge Graphs in Triple Stores	2021	VLDB	4.5435639e-05
2,933	Answering Top-k Queries Using Views	2006	VLDB	7.8679669e-05
8,251	View Selection in Semantic Web Databases	2012	VLDB	4.5497619e-05
11,419	On Detecting Cherry-picked Generalizations	2022	VLDB	4.1945683e-05
7,648	User Guidance for Efficient Fact Checking	2019	VLDB	4.6889787e-05
4,972	Verifying Text Summaries of Relational Data Sets	2019	SIGMOD	5.7931494e-05
3,340	Toward Computational Fact-Checking	2014	VLDB	7.2030091e-05
10,809	ClaimIt: Finding Convincing Views to Endorse a Claim	2025	VLDB	4.1945683e-05