We are delighted to announce that Felix Hamborg has successfully defended his PhD thesis titled “Towards Automated Frame Analysis: Natural Language Processing Techniques to Reveal Media Bias in News Articles” on January 31st.
The research objective of this thesis was to identify perspectives (also called frames) in the news coverage of political events. Additionally, the approach developed in the thesis aimed to communicate these perspectives to news consumers so that they could efficiently get a more balanced understanding of the analyzed event. Among others, Felix’s contributions include the first dataset and model to perform sentiment classification in news articles in real-world use cases, and an interdisciplinary literature review about the automated identification of media bias.
Felix will continue his research on natural language processing, machine learning, and bias identification. He has already acquired funding for a team of four (doctoral) students to collaborate with him on his postdoc research topics.
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