Gender Bias on Tinder: Transforming an Exploratory Qualitative Survey into Statistical Data for Contextualized Interpretation

Abstract

Tinder is an online dating application that enables a human-human interaction. However, the ease of connection brings to light some concerns about possible harmful gender dynamics, which can enhance bias within technological developments and threaten women empowerment. This research aims to investigate whether the application meets women's expectations, whether there is gender bias and sexist behavior during the users' experiences and what is the relation between the findings to the graphical user interface. The research approaches to a mixed method design in order to achieve its goals.