Existing research on Authorship Attribution (AA) focuses on texts for which a
lot of data is available (e.g novels), mainly in English. We approach AA via
Authorship Verification on short Italian texts in two novel datasets, and
analyze the interaction between genre, topic, gender and length. Results show
that AV is feasible even with little data, but more evidence helps. Gender and
topic can be indicative clues, and if not controlled for, they might overtake
more specific aspects of personal style.Comment: Accepted for publication in: 7th Italian Conference on Computational
Linguistics (CLIC-IT 2020