Computational Fact Checking: A Content Management Perspective
Summary: Tutorial on computational fact-checking as digital content management, connecting newsroom practice with Web data models, algorithms, and tools. Surveys current systems and research, then identifies trends, open problems, and opportunities for scalable verification. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sylvie Cazalens (National Centre for Scientific Research; National Institute of Applied Sciences of Lyon; University of Lyon)
- 2. Julien Leblay (Artificial Intelligence Research Center; National Institute of Advanced Industrial Science and Technology)
- 3. Philippe Lamarre (National Centre for Scientific Research; National Institute of Applied Sciences of Lyon; University of Lyon)
- 4. Ioana Manolescu (Ecole Polytechnique; INRIA; National Centre for Scientific Research)
- 5. Xavier Tannier (National Institute of Health and Medical Research; Sorbonne University)
BibTeX Citation
@article{cazalens_vldb18,
title = {{Computational Fact Checking: A Content Management Perspective}},
author = {Cazalens, Sylvie and Leblay, Julien and Lamarre, Philippe and Manolescu, Ioana and Tannier, Xavier},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {2110--2113},
doi = {10.14778/3229863.3229880},
url = {https://doi.org/10.14778/3229863.3229880},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,227 | From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms | 2019 | VLDB | 5.4622609e-05 |
| 11,663 | To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News | 2021 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 427 | Big Data Integration | 2013 | VLDB | 0.00018661543 |
| 514 | Goods: Organizing Google's Datasets | 2016 | SIGMOD | 0.00017178673 |
| 890 | Integrating Conflicting Data: The Role of Source Dependence | 2009 | VLDB | 0.00013382697 |
| 1,393 | Truth Discovery and Copying Detection in a Dynamic World | 2009 | VLDB | 0.00010934682 |
| 2,428 | ClaimBuster: The First-ever End-to-end Fact-checking System | 2017 | VLDB | 8.5897309e-05 |
| 3,127 | Toward Computational Fact-Checking | 2014 | VLDB | 7.7308958e-05 |
| 3,495 | Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources | 2015 | VLDB | 7.3636386e-05 |
| 6,222 | Fact Checking and Analyzing the Web | 2013 | SIGMOD | 5.9425753e-05 |
| 6,919 | Data In, Fact Out: Automated Monitoring of Facts by FactWatcher | 2014 | VLDB | 5.7391146e-05 |
| 9,018 | Finding Diverse, High-Value Representatives on a Surface of Answers | 2017 | VLDB | 5.3309706e-05 |
| 9,019 | SourceSight: Enabling Effective Source Selection | 2016 | SIGMOD | 5.3309706e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 955 | Truth Finding on the Deep Web: Is the Problem Solved? | 2013 | VLDB |
| 2 | 5,548 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB |
| 3 | 12,171 | iCheck: Computationally Combating "Lies, D-ned Lies, and Statistics" | 2014 | SIGMOD |
| 4 | 9,204 | Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise | 2019 | VLDB |
| 5 | 6,222 | Fact Checking and Analyzing the Web | 2013 | SIGMOD |
| 6 | 4,033 | Computational Journalism: A Call to Arms to Database Researchers | 2011 | CIDR |
| 7 | 6,919 | Data In, Fact Out: Automated Monitoring of Facts by FactWatcher | 2014 | VLDB |
| 8 | 7,628 | User Guidance for Efficient Fact Checking | 2019 | VLDB |
| 9 | 9,295 | Combating Fake News: A Data Management and Mining Perspective | 2019 | VLDB |
| 10 | 3,127 | Toward Computational Fact-Checking | 2014 | VLDB |