Detection of Propaganda on Twitter

Victoria Kelobo

Bakalářská práce

Abstract:

The primary aim of the thesis is to propose a technique for identifying online propaganda and assess its effectiveness using a specific Twitter dataset. Partial objectives are: - To identify the characteristics of propaganda tweets on Twitter and describe the current state of the art of methods for propaganda identification. - To develop a machine-learning model for detecting propaganda on Twitter. - To evaluate the accuracy and performance of the developed model. Methodology:The project will be based on machine learning and data analysis techniques. The methodology will involve data collection, data pre-processing, feature extraction, model development, model evaluation, analysis, and interpretation. Based on the synthesis of knowledge of the theoretical part and evaluation of the results of the practical part, the conclusions of the work will be formulated.

Keywords

Twitter, propaganda, Israeli-Palestinian conflict, data analysis, machine learning, social media, Hong Kong, disinformation

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 6. 4. 2024

Obhajoba závěrečné práce

• Obhajoba proběhla 22. 5. 2024
• Vedoucí: doc. Ing. Miloš Ulman, Ph.D.
• Oponent: Jakub Samek, Ing.

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Bakalářský studijní program:
Informatics