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Eutsler, J, Harris, MK, Williams, LT and Cornejo, OE (2023). Accounting for partisanship and politicization: Employing Benford's Law to examine misreporting of COVID-19 infection cases and deaths in the United States. Accounting, Organizations and Society, in press.

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Cano-Rodríguez, M (2025). How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP). Preprint arXiv:2506.09915 [econ.EM]; last accessed August 27, 2025. DOI:10.48550/arXiv.2506.09915. View Complete Reference Online information Works that this work references Works that reference this work
Cano-Rodríguez, M (2025). Deviations from Benford’s Law in Asset Valuations: Market Prices vs. Expert Estimates. Finance Research Letters 86. ISSN/ISBN:1544-6123. DOI:10.1016/j.frl.2025.108492. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Dutta-Powell, R (2024). The perils of premature evaluation: reassessing the application of Benford’s Law to the USA’s COVID-19 data. Preprint on ResearchSquare.com. DOI:10.21203/rs.3.rs-5392071/v1. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Jiang, C, Zhang, X and Hu, B (2024). Government reporting credibility as immunity: Evidence from a public health event. Journal of Multinational Financial Management 73. DOI:10.1016/j.mulfin.2024.100847. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Wang, Z, Xu, G and Ren, M (2025). Can attention detect AI-generated text? A novel Benford's law-based approach. Information Processing & Management 62(4), pp. 104139. DOI:10.1016/j.ipm.2025.104139. View Complete Reference Online information Works that this work references No Bibliography works reference this work