Swearing Habit Analysis in British Tweets

Linguistic differences between women and men is a common source of discussion. Traditional views of women as speaking more than men, or of men swearing more than women for example, fuel societal stereotypes and may thus impact people’s standards concerning what is desirable from women or men.

Contributions

We’ve studied language use on Twitter, more particularly gender and age differences in swearing. Along the way, we’ve developed an open-source online service that allows researchers in social sciences to easily collect and analyze tweets: CATS (work presented at CSCW 2016).

Selected Publications

• Text Mining and Twitter to Analyze British Swearing Habits by Michael Gauthier, Adrien Guille, Fabien Rico, Anthony Deseille. Handbook of Twitter for Research, 2015
• CATS: Collection and Analysis of Tweets made Simple by Ciprian-Octavian Truica, Adrien Guille, Michael Gauthier. International ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2016 - Core A
• Gender Differences in Swearing: A Corpus Study of Twitter by Michael Gauthier, Adrien Guille. Advances in Swearing Research, Pragmatics & Beyond New Series, 2017

Code

• CATS: Collection and Analysis of Tweets made Simple: https://github.com/CATS-Project