Reproduction and Replication of an Adversarial Stylometry Experiment
Haining Wang, Patrick Juola, Allen Riddell

TL;DR
This paper reproduces and replicates a key adversarial stylometry experiment, revealing that some defense methods may be less effective than previously thought, especially when considering control groups and automatic translation techniques.
Contribution
It provides a thorough reproduction and replication of a seminal adversarial stylometry study, highlighting potential overestimations of defense effectiveness and the impact of automatic translation.
Findings
Replicated original experiment with consistent results.
Identified potential overstatement of defense effectiveness.
Highlighted the impact of automatic translation on authorship attribution.
Abstract
Maintaining anonymity in natural language communication remains a challenging task. Even when the number of candidate authors is large, standard authorship attribution techniques that analyze writing style predict the original author with uncomfortably high accuracy. Adversarial stylometry provides a defense against authorship attribution, helping users avoid unwanted deanonymization. This paper reproduces and replicates experiments from a seminal study of defenses against authorship attribution (Brennan et al., 2012). After reproducing the experiment using the original data, we then replicate the experiment by repeating the online field experiment using the procedures described in the original paper. Although we reach the same conclusion as the original paper, our results suggest that the defenses studied may be overstated in their effectiveness. This is largely due to the absence of a…
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Taxonomy
TopicsAuthorship Attribution and Profiling · Hate Speech and Cyberbullying Detection · Misinformation and Its Impacts
