The anonymity of a text's writer is an important topic for some domains, such as witness protection and anonymity programs. Stylometry can be used to reveal the true author of a text even if s/he wishes to hide his/her identity. In this paper, we present our approach for hiding an author's identity by masking their style, which we developed for the Author Obfuscation task, part of the PAN-2016 competition. The approach consists of three main steps: The first one is an evaluation of different metrics in the text that can indicate authorship; the second one is application of various transformations, so that those metrics of the target text are adjusted towards the average level, while still keeping the meaning and the soundness of the text; as a final step, we are adding random noise to the text. Our system showed the best performance for masking the author style.
|Number of pages||14|
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 1 Jan 2016|
ASJC Scopus subject areas
- Computer Science(all)