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: 6121
Venue: SIGMOD
Year: 2021
Pagerank: 5.093636e-05
Overall Rank: 11,663 | 19.99%
DOI: 10.1145/3448016.3452778

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Saravanan Thirumuruganathan (Hamad Bin Khalifa University; Qatar Computing Research Institute)
2. Michael Simpson (University of British Columbia)
3. Laks V.S. Lakshmanan (University of British Columbia)

BibTeX Citation

@inproceedings{thirumuruganathan_sigmod21,
        title = {{To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News}},
        author = {Thirumuruganathan, Saravanan and Simpson, Michael and Lakshmanan, Laks V.S.},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452778},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452778},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

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
315	Influence Maximization in Near-Linear Time: A Martingale Approach	2015	SIGMOD	0.00021436156
453	Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks	2016	SIGMOD	0.00018145895
2,428	ClaimBuster: The First-ever End-to-end Fact-checking System	2017	VLDB	8.5897309e-05
2,547	From Competition to Complementarity: Comparative Influence Diffusion and Maximization	2016	VLDB	8.4331576e-05
3,127	Toward Computational Fact-Checking	2014	VLDB	7.7308958e-05
4,033	Computational Journalism: A Call to Arms to Database Researchers	2011	CIDR	6.9449851e-05
4,746	On Detecting Cherry-picked Trendlines	2020	VLDB	6.5256876e-05
5,548	Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond	2020	VLDB	6.1790655e-05
6,919	Data In, Fact Out: Automated Monitoring of Facts by FactWatcher	2014	VLDB	5.7391146e-05
7,125	Computational Fact Checking: A Content Management Perspective	2018	VLDB	5.6960323e-05
9,204	Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise	2019	VLDB	5.3058708e-05
9,295	Combating Fake News: A Data Management and Mining Perspective	2019	VLDB	5.2906228e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	1,919	Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models	2016	SIGMOD
2	9,848	Maximizing Fair Content Spread via Edge Suggestion in Social Networks	2022	VLDB
3	5,143	An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems	2013	SIGMOD
4	7,125	Computational Fact Checking: A Content Management Perspective	2018	VLDB
5	9,057	Efficient Influence Minimization via Node Blocking	2024	VLDB
6	7,699	SOLOMON: Seeking the Truth Via Copying Detection	2010	VLDB
7	11,403	Mitigating Filter Bubbles Under a Competitive Diffusion Model	2023	SIGMOD
8	9,295	Combating Fake News: A Data Management and Mining Perspective	2019	VLDB
9	5,665	On A Quest for Combating Filter Bubbles and Misinformation	2022	SIGMOD
10	7,157	Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties	2022	VLDB