Understanding Toxicity of Estonian Politicians Facebook Posts Comments
Name
Liina Vesilind
Abstract
Estonian politicians share a lot of information in their social media platforms. This paper analyzes how toxic are the comments on Estonian politicians' official Facebook pages using trained toxicity classifier. 10 female and 10 male Estonian parliament politicians’ Facebook page comments are collected, analyzed, and compared. Results have revealed that comments on female politicians contain a higher frequency of toxic language compared to those of male politicians. Additionally, this paper introduces an Estonian toxic word database and toxicity classifier to aid in further research on online discourse in Estonia.
Graduation Thesis language
English
Graduation Thesis type
Master - Data Science
Supervisor(s)
Uku Kangur MSc,  Rajesh Sharma PhD
Defence year
2024