A quantitative analysis of doxing: who gets doxed, and how can we detect doxing automatically?

A group of NYU and University of Illinois at Chicago computer scientists have presented a paper at the 2017 ACM Internet Measurement Conference in London presenting their findings in a large-scale study of online doxings, with statistics on who gets doxed (the largest cohort being Americann, male, gamers, and in their early 20s), why they get doxed ("revenge" and "justice") and whether software can detect doxing automatically, so that human moderators can take down doxing posts quickly. (more…)