Author: Ivan Andreev
Supervisor: Stefan Woltran, Co-Supervisor: Julia Neidhardt
Abstract
In today’s digital era, analyzing and improving online discourse is crucial. Polarisation is indeed a significant issue in contemporary society, particularly amplified within online discussions. The ability to accurately measure polarisation in these contexts is crucial for understanding societal dynamics and addressing associated challenges effectively. In this thesis, we propose a method based on both Social Network Analysis and contentbased methods. Our method succeeds in computing the level of controversy, scoring it between 0 and 1. The main contribution of this thesis is the integration of two primary methods for measuring polarisation: content-based methods and Social Network Analysis. By combining these approaches, the study offers a comprehensive framework for assessing polarisation in online discussions. Furthermore, the study advances the comprehension of online discourse within the context of derStandard.at, an influential Austrian online newspaper. By applying and refining measurement techniques within this specific platform, the thesis provides valuable insights into how polarisation manifests and evolves within digital news media environments.