output.knit

For all academic publications (peer-reviewed papers and preprints), see:

For popular science writing, reports and software, have a look at the below:

Popular science

[1] I. van der Vegt, B. Kleinberg, and P. Gill, ‘Linguistic Threat Assessment: Challenges and Opportunities’, Crest Security Review, vol. 13, no. Winter 2022, pp. 12–13, 2022.
[2] P. McFarlane and B. Kleinberg, ‘Political Drillin? What machine learning tells us about the reality of drill music’, Policing Insight, Mar. 09, 2020. https://policinginsight.com/features/analysis/political-drillin-what-machine-learning-tells-us-about-the-reality-of-drill-music/ (accessed Mar. 12, 2020).
[3] I. van der Vegt, B. Kleinberg, and P. Gill, ‘The Temporal Evolution of a Far-Right Forum’, GNET, 2020. https://gnet-research.org/2020/03/05/the-temporal-evolution-of-a-far-right-forum/ (accessed Mar. 12, 2020).
[4] B. Kleinberg, M. Mozes, and T. Davies, ‘What does it mean to anonymize text? — SAGE Ocean | Big Data, New Tech, Social Science’, SAGE Ocean, Nov. 28, 2019. https://ocean.sagepub.com/blog/what-does-it-mean-to-anonymize-text (accessed Nov. 29, 2019).
[5] B. Kleinberg, M. Mozes, and T. Davies, ‘Making sensitive text data accessible for computational social science — SAGE Ocean | Big Data, New Tech, Social Science’, SAGE Ocean, Jul. 18, 2019. https://ocean.sagepub.com/blog/making-sensitive-text-data-accessible-for-computational-social-science (accessed Aug. 31, 2019).
[6] B. Kleinberg and B. Verschuere, ‘Being Honest About Deception Detection: between popular idea and scientific evidence’, Aviation Security International Magazine, Apr. 16, 2019.
[7] J. Kamps and B. Kleinberg, ‘Cryptocurrency pump-and-dumps’, BioMedCentral - On Society, Jan. 22, 2019.

Other reports/briefings

[1] Royal United Services Institute and (RUSI) for Defence and Security Studies, ‘A Complex Matter: Examining Reporting on Terrorism in the UK’, 2021. [Online]. Available: https://static.rusi.org/256_op_media_and_terrorism_web_0.pdf
[2] E. A. Akartuna, F. J. Hetzel, and B. Kleinberg, ‘Policy brief: Cryptocurrencies and future crime’, Policy Brief, 2021. Available: https://www.ucl.ac.uk/future-crime/policy-briefs/policy-brief-cryptocurrencies-and-future-crime

Software

[1] netanos - Named Entity-based Text ANonymization for Open Science, M. Mozes and B. Kleinberg. python + node.js, https://www.npmjs.com/package/netanos, MIT license
[2] neatStats: Neat and Painless Statistical Reporting, G. Lukács, J. van Doorn, and B. Kleinberg. R, https://cran.r-project.org/web/packages/neatStats/index.html, BSD-2 license
[3] Textwash - automated, learning-based text anonymisation, M. Mozes and B. Kleinberg. python + R, https://github.com/maximilianmozes/textwash, GPL-3 license
[4] rgpt3 - Making requests from R to the GPT-3 API, B. Kleinberg. R, https://github.com/ben-aaron188/rgpt3, GPL-3 license