Mitigating Filter Bubbles Under a Competitive Diffusion Model
Summary: Proposes a competitive diffusion model for mitigating filter bubbles, modeling competition among opposing viewpoints and exposure rewards. Offers a heuristic and two instance-dependent approximations; experiments on 4 datasets show strong mitigation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Prithu Banerjee (University of British Columbia)
- 2. Wei Chen (Microsoft)
- 3. Laks V.S. Lakshmanan (University of British Columbia)
BibTeX Citation
@inproceedings{banerjee_sigmod23,
title = {{Mitigating Filter Bubbles Under a Competitive Diffusion Model}},
author = {Banerjee, Prithu and Chen, Wei and Lakshmanan, Laks V.S.},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589320},
url = {https://dl.acm.org/doi/10.1145/3589320},
year = {2023}
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 199 | Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency | 2014 | SIGMOD | 0.00025522558 |
| 320 | Influence Maximization in Near-Linear Time: A Martingale Approach | 2015 | SIGMOD | 0.00021143147 |
| 455 | Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks | 2016 | SIGMOD | 0.0001796092 |
| 1,474 | Online Processing Algorithms for Influence Maximization | 2018 | SIGMOD | 0.00010556999 |
| 2,587 | From Competition to Complementarity: Comparative Influence Diffusion and Maximization | 2016 | VLDB | 8.2550609e-05 |
| 3,554 | Revisiting the Stop-and-Stare Algorithms for Influence Maximization | 2017 | VLDB | 7.2088217e-05 |
| 5,752 | On A Quest for Combating Filter Bubbles and Misinformation | 2022 | SIGMOD | 6.006451e-05 |
| 5,980 | Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model | 2019 | SIGMOD | 5.9281309e-05 |
| 8,757 | Maximizing Social Welfare in a Competitive Diffusion Model | 2021 | VLDB | 5.2840289e-05 |
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