‘Eww wtf, what a dumb bitch’: a case study of similitudes inside gender-specific swearing patterns on Twitter

Contrary to the idea which has been widespread for at least a hundred years that women differ substantially from men when they express themselves in English-speaking contexts (e.g., Jespersen, 1922 ; and Steadman, 1935 ), empirical studies have shown that these differences are often minimal and are not due to gender alone (e.g., Eckert, 2008 ; and Baker, 2014 ). This also frequently applies to the way they swear, despite certain preferences which have been documented in empirical studies. With the growing impact that social media now has in our everyday lives, these represent a unique opportunity to study vast quantities of written data. This paper is based on a corpus of about one-million tweets and is an attempt to delve deeper into the analysis of gendered swearword habits. First, the goal is to show that even if there are certain gendered preferences in terms of the choice of swearwords, women and men frequently display similar patterns in using them, thus reinforcing the idea that they are not so linguistically different. Secondly, this paper provides insights into how collocational networks can be used to achieve this, and thus how focussing on differences can be one way to spot similarities across two sub-corpora.