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Stylometry is a form of authorship attribution that relies on the linguistic information to attribute documents of unknown authorship based on the writing styles of a suspect set of authors. This paper focuses on the cross-domain subproblem where the known and suspect documents differ in the setting in which they were created. Three distinct domains, Twitter feeds, blog entries, and Reddit comments, are explored in this work. We determine that state-of-the-art methods in stylometry do not perform as well in cross-domain situations (34.3% accuracy) as they do in in-domain situations (83.5% accuracy) and propose methods that improve performance in the cross-domain setting with both feature and classification level techniques which can increase accuracy to up to 70%. In addition to testing these approaches on a large real world dataset, we also examine real world adversarial cases where an author is actively attempting to hide their identity. Being able to identify authors across domains facilitates linking identities across the Internet making this a key security and privacy concern; users can take other measures to ensure their anonymity, but due to their unique writing style, they may not be as anonymous as they believe.
This article explores the often overlooked work of growing food at home as food justice activism. It explores several questions, including: is home food production food activism/social justice work? How accessible is at-home food production? What are the assumptions and claims made by people who produce food at home, and what challenges do they face? Using an ecowomanist theoretical framework, the article analyzes blog posts written by four homesteading bloggers. It argues two points: that growing food at home shifts and develops a food consciousness, which leads to a more just relationship with food, and that the bloggers engage in intentional food production practices in order to bring more awareness to their individual interactions with all parts of the food system.