Statistical Authorship Attribution of Mexican Drug Trafficking Online Forum Posts

Authors

  • Antonio Rico-Sulayes Georgetown University

DOI:

https://doi.org/10.1558/ijsll.v18i1.53

Keywords:

authorship attribution, discriminant analysis, online forum posts, discriminant analysis results

Abstract

As Mexico’s drug war violence escalates, there has recently been a proliferation of online forums about drug trafficking in this country. With considerable usage statistics, some of these forums show contributions from alleged law enforcement officers, soldiers, drug dealers, and regular citizens. In this paper I will show that state of the art statistical authorship attribution techniques can be successfully applied to the contributions of prolific users in these forums. The 99% diagnostic accuracy and 93% sensitivity obtained here are higher than previously achieved equivalent figures for the method employed. These results were obtained with the statistically relevant contribution of a number of novel discriminating features. A proposal for the standardization of results obtained with discriminant analysis (DA) in authorship attribution is also presented.

Author Biography

  • Antonio Rico-Sulayes, Georgetown University
    Antonio Rico-Sulayes received a BA in Linguistics and Hispanic Literature from Benemérita Universidad Autónoma de Puebla, in Mexico. He has an MA in Applied Linguistics from Universidad de las Américas, in Mexico, and a MA in Hispanic Lexicography from the Escuela de Lexicografía Hispánica, Real Academia Española, in Spain. He has been a language and linguistics professor in a number of universities in Mexico and the United States. He is currently a PhD candidate in Linguistics at Georgetown University, in Washington, DC.

Published

2011-09-13

Issue

Section

Articles

How to Cite

Rico-Sulayes, A. (2011). Statistical Authorship Attribution of Mexican Drug Trafficking Online Forum Posts. International Journal of Speech, Language and the Law, 18(1), 53-74. https://doi.org/10.1558/ijsll.v18i1.53