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To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News
Summary: Solomon is a cost-aware intervention framework to curb fake-news spread, deciding actions from truthiness and popularity. Three modules: truthiness estimation, popularity estimation (with/without intervention), and an intervention policy are optimized and validated on real data.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6059
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 4.1945683e-05
- Overall Rank
- 11,465 | 20.24%
- DOI
-
10.1145/3448016.3452778
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Incoming Citations (Sorted by Pagerank)
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| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 337 |
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2015 |
SIGMOD |
0.00027011645 |
| 436 |
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2016 |
SIGMOD |
0.00023259324 |
| 2,371 |
From Competition to Complementarity: Comparative Influence Diffusion and Maximization |
2016 |
VLDB |
8.9482922e-05 |
| 2,509 |
ClaimBuster: The First-ever End-to-end Fact-checking System |
2017 |
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8.6260643e-05 |
| 3,340 |
Toward Computational Fact-Checking |
2014 |
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7.2030091e-05 |
| 3,686 |
On Detecting Cherry-picked Trendlines |
2020 |
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6.84423e-05 |
| 4,157 |
Computational Journalism: A Call to Arms to Database Researchers |
2011 |
CIDR |
6.3997218e-05 |
| 5,412 |
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
2020 |
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5.5207515e-05 |
| 7,029 |
Computational Fact Checking: A Content Management Perspective |
2018 |
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4.8563777e-05 |
| 7,094 |
Data In, Fact Out: Automated Monitoring of Facts by FactWatcher |
2014 |
VLDB |
4.8366704e-05 |
| 9,054 |
Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise |
2019 |
VLDB |
4.4039656e-05 |
| 9,137 |
Combating Fake News: A Data Management and Mining Perspective |
2019 |
VLDB |
4.3881065e-05 |
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