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Toward Computational Fact-Checking
Summary: Models data-based claims as parameterized queries; perturbing parameters reveals claim sensitivity and potential cherry-picking. Proposes a modular algorithmic framework to enable reverse-engineering vague claims and countering questionable ones, with real-world experiments.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10936
- Venue
- VLDB
- Year
- 2014
- Pagerank
- 7.2030091e-05
- Overall Rank
- 3,340 | 76.77%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 3,155 |
Ten Years of WebTables |
2018 |
VLDB |
7.4672742e-05 |
| 3,686 |
On Detecting Cherry-picked Trendlines |
2020 |
VLDB |
6.84423e-05 |
| 4,972 |
Verifying Text Summaries of Relational Data Sets |
2019 |
SIGMOD |
5.7931494e-05 |
| 5,934 |
Perturbation Analysis of Database Queries |
2016 |
VLDB |
5.266698e-05 |
| 7,029 |
Computational Fact Checking: A Content Management Perspective |
2018 |
VLDB |
4.8563777e-05 |
| 7,648 |
User Guidance for Efficient Fact Checking |
2019 |
VLDB |
4.6889787e-05 |
| 8,848 |
Finding Diverse, High-Value Representatives on a Surface of Answers |
2017 |
VLDB |
4.4369118e-05 |
| 9,054 |
Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise |
2019 |
VLDB |
4.4039656e-05 |
| 10,140 |
Analyzing Deviations from Monotonic Trends through Database Repair |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,436 |
Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,740 |
Finding Convincing Views to Endorse a Claim |
2025 |
VLDB |
4.1945683e-05 |
| 10,747 |
CEDAR: A System for Cost-Efficient Data-Driven Claim Verification |
2025 |
VLDB |
4.1945683e-05 |
| 11,347 |
OpenTFV: An Open Domain Table-Based Fact Verification System |
2022 |
SIGMOD |
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 |
| 11,465 |
To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News |
2021 |
SIGMOD |
4.1945683e-05 |
| 11,973 |
iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" |
2014 |
SIGMOD |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 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 |
| 492 |
Query by Output |
2009 |
SIGMOD |
0.00021974699 |
| 876 |
Parametric Query Optimization |
1992 |
VLDB |
0.00015716096 |
| 1,125 |
How to ConQueR Why-Not Questions |
2010 |
SIGMOD |
0.00013845652 |
| 1,201 |
SPARK: Top-k Keyword Query in Relational Databases |
2007 |
SIGMOD |
0.0001334371 |
| 1,726 |
Design and Analysis of Parametric Query Optimization Algorithms |
1998 |
VLDB |
0.00010741411 |
| 1,986 |
AniPQO: Almost Non-intrusive Parametric Query Optimization for Nonlinear Cost Functions |
2003 |
VLDB |
9.8536784e-05 |
| 2,976 |
Processing a Large Number of Continuous Preference Top-k Queries |
2012 |
SIGMOD |
7.789303e-05 |
| 3,014 |
Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures |
2011 |
SIGMOD |
7.70946e-05 |
| 4,157 |
Computational Journalism: A Call to Arms to Database Researchers |
2011 |
CIDR |
6.3997218e-05 |
| 4,348 |
Identifying Robust Plans through Plan Diagram Reduction |
2008 |
VLDB |
6.2660237e-05 |
| 7,750 |
Computing Immutable Regions for Subspace Top-k Queries |
2013 |
VLDB |
4.6607023e-05 |
| 8,408 |
PARAS: A Parameter Space Framework for Online Association Mining |
2013 |
VLDB |
4.5211041e-05 |
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| Overall Rank |
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Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
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AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets |
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Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise |
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| 4,816 |
Scrutinizer: Fact Checking Statistical Claims |
2020 |
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5.900769e-05 |
| 10,740 |
Finding Convincing Views to Endorse a Claim |
2025 |
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4.1945683e-05 |
| 4,972 |
Verifying Text Summaries of Relational Data Sets |
2019 |
SIGMOD |
5.7931494e-05 |
| 11,973 |
iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" |
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SIGMOD |
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| 7,029 |
Computational Fact Checking: A Content Management Perspective |
2018 |
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4.8563777e-05 |
| 7,648 |
User Guidance for Efficient Fact Checking |
2019 |
VLDB |
4.6889787e-05 |