Madahali, L and Hall, M (2020). Application of the Benford’s law to Social bots and Information Operations activities. International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), Dublin, Ireland, pp. 1-8.
This work is cited by the following items of the Benford Online Bibliography:
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Bhosale, S (2021). Identifying Bots on Twitter with Benford’s Law. Masters project, Dept. of Computer Science, San Jose State University.
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Bhosale, S and Di Troia, F (2022). Twitter Bots’ Detection with Benford’s Law and Machine Learning. In Proceedings of Silicon Valley Cybersecurity Conference. SVCC 2022. Communications in Computer and Information Science, vol 1683, Bathen, L., Saldamli, G., Sun, X., Austin, T.H., Nelson, A.J. (eds). Springer, Cham. DOI:10.1007/978-3-031-24049-2_3.
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Luty, P, Petković, M and Vavrek, R (2022). Applying Benfordʼs Law on assessing the reliability of financial information in European companies from the rental and leasing sector before and after the adoption of IFRS 16. The Theoretical Journal of Accounting 46(4), pp. 51-68. ISSN/ISBN:1641-4381 .
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McCarville, D (2021). A data transformation process for using Benford’s Law with bounded data. Preprint [version 1; peer review: awaiting peer review], Emerald Open Research 3(29). DOI:10.35241/emeraldopenres.14374.1.
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Parreño, SJE (2023). Analyzing crop production statistics of the Philippines using the newcomb-benford law. Multidisciplinary Science Journal.
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