Dániel Tóbiás – Analyzing gender disparity on Twitch.tv channels with text mining techniques

Dániel Tóbiás (LinkedIn; tobiasdani88@gmail.com)

Sociology MA, 2020

supervisor: Zoltán Kmetty

Digitalization has opened a new era and Sociology has got a new set of tools to analyze and survey society. Here I am using one of the tools (text mining) to unfold gender disparity / gendered conversation in an online video game live-streaming platform and to reveal the potential of text mining. As it shows, there are some minor differences between female and male channels, however there is no sign of gender disparity or objectification in the data.

The thesis can be accessed on this link.