mlsanityData to 7 Oct 2026

The Social Cost of Strategic Classification

arXiv 1808.08460 ↗First posted 25 Aug 2018cs.LG stat.MLcited by 105

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Abstract (arXiv)

Consequential decision-making typically incentivizes individuals to behave strategically, tailoring their behavior to the specifics of the decision rule. A long line of work has therefore sought to counteract strategic behavior by designing more conservative decision boundaries in an effort to increase robustness to the effects of strategic covariate shift. We show that these efforts benefit the institutional decision maker at the expense of the individuals being classified. Introducing a notion of social burden, we prove that any increase in institutional utility necessarily leads to a corresponding increase in social burden. Moreover, we show that the negative externalities of strategic classification can disproportionately harm disadvantaged groups in the population. Our results highlight that strategy-robustness must be weighed against considerations of social welfare and fairness.

Key facts. Cited by 105 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Aug 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 14; 2022: 17; 2023: 21; 2024: 17; 2025: 20; 2026: 16.

105 papers.

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  1. 2021Outside the Echo Chamber: Optimizing the Performative Riskcited by 95
  2. 2021Strategic Classification in the Darkcited by 66
  3. 2021Strategic Classification Made Practicalcited by 58
  4. 2021Who Leads and Who Follows in Strategic Classification?cited by 53
  5. 2023Performative Prediction: Past and Futurecited by 52
  6. 2021Information Discrepancy in Strategic Learningcited by 48
  7. 2021Alternative Microfoundations for Strategic Classificationcited by 47
  8. 2022Performative Powercited by 42
  9. 2022Modeling Content Creator Incentives on Algorithm-Curated Platformscited by 35
  10. 2021Stateful Strategic Regressioncited by 32
  11. 2022On classification of strategic agents who can both game and improvecited by 27
  12. 2023Strategic Classification under Unknown Personalized Manipulationcited by 23
38 more
  1. 2022Learning Losses for Strategic Classificationcited by 22
  2. 2021Strategic Rankingcited by 21
  3. 2022Conformalized Fairness via Quantile Regressioncited by 19
  4. 2022What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspectivecited by 18
  5. 2023Fundamental Bounds on Online Strategic Classificationcited by 17
  6. 2023Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Modelscited by 17
  7. 2024Learnability Gaps of Strategic Classificationcited by 16
  8. 2022Survey on Fair Reinforcement Learning: Theory and Practicecited by 14
  9. 2022Strategic Classification with Graph Neural Networkscited by 14
  10. 2022Adversarial Robustness for Tabular Data through Cost and Utility Awarenesscited by 14
  11. 2023Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shiftscited by 14
  12. 2022Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systemscited by 13
  13. 2023One-Shot Strategic Classification Under Unknown Costscited by 13
  14. 2023A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systemscited by 12
  15. 2024Bayesian Strategic Classificationcited by 12
  16. 2024Non-linear Welfare-Aware Strategic Learningcited by 12
  17. 2021Approximate Regions of Attraction in Learning with Decision-Dependent Distributionscited by 11
  18. 2024Addressing Polarization and Unfairness in Performative Predictioncited by 11
  19. 2021Recommendation Fairness: From Static to Dynamiccited by 10
  20. 2021Unfairness Despite Awareness: Group-Fair Classification with Strategic Agentscited by 9
  21. 2022Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instrumentscited by 9
  22. 2023On the Actionability of Outcome Predictioncited by 9
  23. 2024The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studiescited by 9
  24. 2022Addressing Strategic Manipulation Disparities in Fair Classificationcited by 8
  25. 2023Sequential Strategic Screeningcited by 8
  26. 2023Monitoring Algorithmic Fairnesscited by 8
  27. 2023The Risks of Recourse in Binary Classificationcited by 8
  28. 2025Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertaintycited by 8
  29. 2025Performative Validity of Recourse Explanationscited by 8
  30. 2022Setting Fair Incentives to Maximize Improvementcited by 7
  31. 2024Strategic Classification With Externalitiescited by 7
  32. 2025Algorithmic Collective Action with Two Collectivescited by 7
  33. 2024Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Marketscited by 6
  34. 2024Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairnesscited by 6
  35. 2025PAC Learning with Improvementscited by 6
  36. 2021Addressing the Long-term Impact of ML Decisions via Policy Regretcited by 5
  37. 2023Fairness and Sequential Decision Making: Limits, Lessons, and Opportunitiescited by 5
  38. 2023Algorithmic Censoring in Dynamic Learning Systemscited by 5

50 most cited of 105 All 105 (JSON)