User Guidance for Efficient Fact Checking
Summary: A probabilistic framework combines human judgments with automated credibility inference to prioritize facts whose validation yields maximal benefit. Stopping, batching, and streaming techniques halve validation effort while producing knowledge bases exceeding 90% precision. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thanh Tam Nguyen (EPFL)
- 2. Matthias Weidlich (Humboldt University of Berlin)
- 3. Hongzhi Yin (University of Queensland)
- 4. Bolong Zheng (Huazhong University of Science and Technology)
- 5. Quoc Viet Hung Nguyen (Griffith University)
- 6. Bela Stantic (Griffith University)
BibTeX Citation
@article{nguyen_vldb19,
title = {{User Guidance for Efficient Fact Checking}},
author = {Nguyen, Thanh Tam and Weidlich, Matthias and Yin, Hongzhi and Zheng, Bolong and Nguyen, Quoc Viet Hung and Stantic, Bela},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {8},
pages = {850--863},
doi = {10.14778/3324301.3324303},
url = {https://doi.org/10.14778/3324301.3324303},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 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 |
| 10,717 | Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | SIGMOD | 5.093636e-05 |
| 10,983 | CEDAR: A System for Cost-Efficient Data-Driven Claim Verification | 2025 | VLDB | 5.093636e-05 |
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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.
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