  This paper explores the novel topic of data breach journalism and data breach
news through the case of databreaches.net, a news outlet dedicated to data
breaches and related cyber crime. Motivated by the issues in traditional crime
news and crime journalism, the case is explored by the means of text mining.
According to the results, the outlet has kept a steady publishing pace, mainly
focusing on plain and short reporting but with generally high-quality source
material for the news articles. Despite these characteristics, the news
articles exhibit fairly strong sentiments, which is partially expected due to
the presence of emotionally laden crime and the long history of sensationalism
in crime news. The news site has also covered the full scope of data breaches,
although many of these are fairly traditional, exposing personal identifiers
and financial details of the victims. Also hospitals and the healthcare sector
stand out. With these results, the paper advances the study of data breaches by
considering these from the perspective of media and journalism.
