We are excited to announce that the business start-up project tegami.ai, which our group hosts and supports, has secured funding for one year by receiving an Exist Business Start-up Grant. The founding team consists of Fei Wu, Tomáš Horych, Christoph Mandl, and our doctoral researcher, Timo Spinde. tegami.ai seeks to provide an innovative platform for text analysis that assists businesses [...]
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 [...]
Anastasia Zhukova won the international competition for the Women’s STEM Award 2019 (prize money 3,000 EUR) for her master’s thesis compiled in our group.The thesis titled“Automated Identification of Framing by Word Choice and Labeling to Reveal Media Bias in News Articles”is available for download.German Telekom and the students’ magazine audimax jointly organize the competition, which in 2019 attracted 140 submissions of high-profile graduate theses [...]
The Heidelberger Akademie der Wissenschaften has awarded us 3-year research grant for the project „Fake News and Collective Decision Making: Rapid Automated Assessment of Media Bias“ The project aims to automatically identify specific instances of media bias, thus ultimately helping news consumers to more effectively and efficiently become aware of media bias in news coverage. The interdisciplinary research will be [...]
An article about our research on the automated identification of media bias appeared in uni'kon #68. For further information and contact information refer to Felix Hamborg's profile page or see here.
Felix Hamborg and Norman Meuschke received the Best Student Paper Award for their paper Matrix-based News Aggregation: Exploring different News Perspectives; at the A* ranked Joint Conference on Digital Libraries (JCDL) 2017.
