Propaganda Detection in News Texts

Student: Chernyshev Vadim

Supervisor: Ekaterina Artemova

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2021

Propaganda is an increasingly hot topic. Recently, it can often be found in news sources related to important, global events, such as the spread of COVID-19 or the US presidential election. Therefore, the purpose of this paper was to create a model for detecting different types of propaganda, as well as to compile a dataset with relevant examples. Here is a report of how to achieve this, what difficulties arise in doing so, and how to solve them.

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