Data In, Fact Out: Automated Monitoring of Facts by FactWatcher
Summary: FactWatcher automates monitoring of data-backed facts in append-only databases, spotting situational, one-of-the-few, and prominent streak facts via a unified data model, algorithm framework, and fact ranking. Incremental, insert-triggered discovery avoids exhaustive testing and delivers end-to-end support: ranking, fact-to-statement translation, and keyword-based search for journalists. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Naeemul Hassan (University of Texas)
- 2. Afroza Sultana (University of Texas)
- 3. You Wu (Duke University)
- 4. Gensheng Zhang (University of Texas)
- 5. Chengkai Li (University of Texas)
- 6. Jun Yang (Duke University)
- 7. Cong Yu (Google)
BibTeX Citation
@article{hassan_vldb14,
title = {{Data In, Fact Out: Automated Monitoring of Facts by FactWatcher}},
author = {Hassan, Naeemul and Sultana, Afroza and Wu, You and Zhang, Gensheng and Li, Chengkai and Yang, Jun and Yu, Cong},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
doi = {10.14778/2733004.2733029},
url = {https://doi.org/10.14778/2733004.2733029},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,746 | On Detecting Cherry-picked Trendlines | 2020 | VLDB | 6.5256876e-05 |
| 7,125 | Computational Fact Checking: A Content Management Perspective | 2018 | VLDB | 5.6960323e-05 |
| 7,393 | Maverick: Discovering Exceptional Facts from Knowledge Graphs | 2018 | SIGMOD | 5.6261241e-05 |
| 9,282 | Maverick: A System for Discovering Exceptional Facts from Knowledge Graphs | 2018 | VLDB | 5.2929162e-05 |
| 11,582 | BABOONS: Black-Box Optimization of Data Summaries in Natural Language | 2022 | VLDB | 5.093636e-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 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,033 | Computational Journalism: A Call to Arms to Database Researchers | 2011 | CIDR | 6.9449851e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 14,089 | FACT: A Learning Based Web Query Processing System | 2000 | SIGMOD |
| 2 | 8,180 | ConnectionLens: Finding Connections Across Heterogeneous Data Sources | 2018 | VLDB |
| 3 | 5,548 | Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond | 2020 | VLDB |
| 4 | 4,033 | Computational Journalism: A Call to Arms to Database Researchers | 2011 | CIDR |
| 5 | 13,498 | NEWS: News Event Walker and Summarizer | 2019 | SIGMOD |
| 6 | 4,963 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB |
| 7 | 7,628 | User Guidance for Efficient Fact Checking | 2019 | VLDB |
| 8 | 11,980 | Building Structured Databases of Factual Knowledge from Massive Text Corpora | 2017 | SIGMOD |
| 9 | 3,127 | Toward Computational Fact-Checking | 2014 | VLDB |
| 10 | 7,125 | Computational Fact Checking: A Content Management Perspective | 2018 | VLDB |