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Golbeck, J (2019). Benford’s Law can detect malicious social bots. First Monday 24(8).

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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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. View Complete Reference No online information available Works that this work references Works that reference this work
Golbeck, J (2023). Benford’s Law applies to word frequency rank in English, German, French, Spanish, and Italian. PLoS ONE 18(9), pp. e0291337. DOI:10.1371/journal.pone.0291337. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kilani, A (2021). An interpretation of reported COVID-19 cases in post-Soviet states. Journal of Public Health, fdab091. DOI:10.1093/pubmed/fdab091. View Complete Reference Online information Works that this work references Works that reference this work
Mbona, I and Eloff, JHP (2022). Feature selection using Benford’s law to support detection of malicious social media bots. Information Sciences 582, pp. 369-381. DOI:10.1016/j.ins.2021.09.038. View Complete Reference Online information Works that this work references Works that reference this work
Mbona, I and Eloff, JHP (2023). Classifying social media bots as malicious or benign using semi-supervised machine learning. Journal of Cybersecurity 9(1), p.tyac015 . DOI:10.1093/cybsec/tyac015. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Murtagh, J (2023). What Is Benford’s Law? Why This Unexpected Pattern of Numbers Is Everywhere. Scientific American May 8, 2023. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Pahuja, D (2021). Application of Benford’s Law to Detect if COVID-19 Data is under Reported or Manipulated. In: Rahul Srivastava & Aditya Kumar Singh Pundir (eds.), New Frontiers in Communication and Intelligent Systems, pp. 85–91. Computing & Intelligent Systems, SCRS, India . DOI:10.52458/978-81-95502-00-4-11. View Complete Reference Online information Works that this work references Works that reference this work