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Violence against women is a reality in Brazil. Although the country has advanced in terms of legislation, with emphasis on Law n. 11.340/2006, Maria da Penha Law, and Law 13.104/2015, known as the femicide law, there are still many challenges in dealing with violence against women, which permeate legal, social, cultural and political issues. One of the points that draws attention is that not every crime is reported, which ends up impacting the consolidation of indicators on violence that can be used in the construction of public policies to support women and combat violence. There are still obstacles and challenges regarding the collection of these data, which are mostly obtained from the civil and military police of each state of the Federation, which use different structures and methodologies to measure this social phenomenon. The repercussion of cases of violence against women in the media is remarkable, which opens the opportunity to explore the news as sources of data. This paper explores the use of data mining solutions aimed at identifying themes explored in the context of violence against women from news pieces broadcast in digital media in order to seek an understanding of positions and articulations in the observed narratives. Therefore, a case study is carried out on a sample of journalistic texts extracted from the G1 Goiás news portal. The results obtained suggest patterns, in terms of temporality and themes explored, and highlight the issue of the invisibility of domestic violence against women and the exacerbation of extreme, unusual and so-called spectacular situations. [ABSTRACT FROM AUTHOR]