Who is in your opinion bubble? User profiling for controversial topics discourse

Bachelor Thesis, Master Thesis

Social media have been a place for very passionate discussions regarding controversial topics such as nuclear energy or gun control. With NLP techniques for automated estimation of sociodemographic characteristics of users based on their language, we can analyze the average social profiles of groups with different opinion. How diverse are these ‚bubbles‘ and what are their characteristic properties? Which properties are characteristic for users vulnerable to fake news? Can we, in turn, use this information to improve fake news detection and/or opinion classification?