Efficient Computation of Feedback Arc Set at Web-Scale. - Michael Simpson 001; Venkatesh Srinivasan 001; Alex Thomo (Proc. VLDB Endow., 2016)

Clearing Contamination in Large Networks. - Michael Simpson 001; Venkatesh Srinivasan 001; Alex Thomo (IEEE Trans. Knowl. Data Eng., 2016)

Scalable Misinformation Prevention in Social Networks. - Michael Simpson 001; Venkatesh Srinivasan 001; Alex Thomo (CoRR, 2018)

Scalable algorithms for misinformation prevention in social networks. - Michael Simpson 001 (2018)

Combating Fake News: A Data Management and Mining Perspective. - Laks V. S. Lakshmanan; Michael Simpson 001; Saravanan Thirumuruganathan (Proc. VLDB Endow., 2019)

A High Precision Pipeline for Financial Knowledge Graph Construction. - Sarah Elhammadi; Laks V. S. Lakshmanan; Raymond T. Ng; Michael Simpson 001; Baoxing Huai; Zhefeng Wang 001; Lanjun Wang (COLING, 2020)

Strongly Minimal MapReduce Algorithms: A TeraSort Case Study. - Daniel Xia; Michael Simpson 001; Venkatesh Srinivasan 001; Alex Thomo (FoIKS, 2020)

Reverse Prevention Sampling for Misinformation Mitigation in Social Networks. - Michael Simpson 001; Venkatesh Srinivasan 001; Alex Thomo (ICDT, 2020)

To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News. - Saravanan Thirumuruganathan; Michael Simpson 001; Laks V. S. Lakshmanan (SIGMOD Conference, 2021)

Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties. - Michael Simpson 001; Laks V. S. Lakshmanan; Farnoosh Hashemi (Proc. VLDB Endow., 2022)

Scalable Misinformation Mitigation in Social Networks Using Reverse Sampling. - Michael Simpson 001; Venkatesh Srinivasan 001; Alex Thomo (Comput. J., 2023)