This thesis explores the UK's media environment and aims to decide whether the media show bipolar trends in reporting about immigration during the infamous EU immigration crisis. It utilizes the Natural Language Processing AI to assess a dataset of five major publishers in the UK - The Sun, The Daily Mail, The Guardian, The Independent and The Daily Telegraph - through the years 2015, 2016 and 2017. The focus of the analysis are the dynamics of the media space in general as well as specifics of reporting of separate publishers. The applied method is a novelty to quantitative assessment of qualitative aspects of given texts and the thesis serves as an example of successful utilization of such approach. In comparison to the previous researches conducted on similar topics, the main benefits of utilization of the AI includes the ability to assess huge datasets, assured consistency and huge innovative potential. Being able to analyze a dataset of 1813 articles quantitatively, the method is as important as the study itself.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:415200 |
| Date | January 2020 |
| Creators | Hrdina, Jakub |
| Contributors | Karásek, Tomáš, Kuľková, Miroslava |
| Source Sets | Czech ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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