Media Bias - Prof. Dr. Bela Gipp, University of Göttingen, GippLab

GippLab Showcases Research to DAAD President at NII Tokyo

wp-editor — Fri, 24 Oct 2025 17:11:56 +0000

GippLab members Dr. André Greiner-Petter and Dr. Timo Spinde had the honor of meeting Prof. Joybrato Mukherjee, President of the German Academic Exchange Service (DAAD), during his visit to the National Institute of Informatics (NII) in Tokyo. During the meeting, our researchers presented their current research projects to highlight GippLab’s ongoing activities at the NII and the long-standing history of our successful collaboration.

The discussion, also attended by Prof. Shigeo Sugimoto, Acting Director-General of the NII, underscored the strong academic and cultural ties between German and Japanese research institutions. The DAAD President’s visit emphasized the significance and enduring success of this international partnership, which has been generously supported by the DAAD for over a decade.

Our cooperation with the NII offers students and early-career researchers at the University of Göttingen unique opportunities for research stays in Tokyo. Details are available at https://gipplab.uni-goettingen.de/tokyo.

Der Beitrag GippLab Showcases Research to DAAD President at NII Tokyo erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

New Open-Access Book on Media Bias

wp-admin — Sun, 22 Jun 2025 07:29:55 +0000

We’re excited to announce that the book Automated Detection of Media Bias: From the Conceptualization of Media Bias to its Computational Classification, by our team member Dr. Timo Spinde, is now available for free from Springer.

The book summarizes the results of Timo’s doctoral research on how technology can be used to detect bias in the media, exploring aspects ranging from word choices to deep learning models. Timo’s work provides a fresh perspective on how automated systems can identify media bias, with applications ranging from enhancing news consumption to aiding social media platforms in detecting bias in user-generated content.

The book is available for everyone to read, share, and enjoy at no cost. You can download the book here.

Der Beitrag New Open-Access Book on Media Bias erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Congratulations to Timo Spinde on his successful PhD thesis defense

wp-admin — Thu, 27 Jun 2024 15:45:31 +0000

We are thrilled to announce that Timo Spinde has successfully defended his PhD thesis titled Automated Detection of Media Bias in News Articles: From the Conceptualization of Media Bias to its Computational Classification.

In the presence of his family, friends, and colleagues, Timo delivered an outstanding presentation of his work, earning him the title of Dr. rer. nat. The entire GippLab team extends its heartfelt congratulations on this significant achievement.

If you’d like to learn more about Dr. Spinde’s media bias research, please visit the project page on Media Bias Analysis.

Der Beitrag Congratulations to Timo Spinde on his successful PhD thesis defense erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

GippLab-supported business start-up project tegami.ai secures funding

wp-admin — Thu, 07 Mar 2024 15:38:25 +0000

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 in maintaining their unique writing style and minimizing communication risks. The solution considers the emotion, polarization, and neutrality of texts to enhance text performance analysis, summarization, and correction.

tegami.ai is collaborating with the newspaper Südkurier as their first major client, developing a customized language model for the company. The young startup is integrating years of experience in media bias research from our group into a practical application.

Der Beitrag GippLab-supported business start-up project tegami.ai secures funding erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Felix Hamborg defends his PhD Thesis with ‘summa cum laude’

wp-admin — Mon, 31 Jan 2022 18:03:06 +0000

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 31^st.

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.

Anastasia Zhukova wins Women’s STEM Award 2019

wp-admin — Fri, 05 Jul 2019 09:00:18 +0000

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 addressing one of five topical areas: Cloud, Internet of Things, Artificial Intelligence, Cyber Security and Networks of the Future.

A jury of international experts selected Anastasia’s thesis, which addresses the pressing problem of enabling computers to identify slanted news coverage, as the most outstanding submission in the area of Artificial Intelligence and the best thesis in the competition overall. Anastasia completed a significant part of her research in close collaboration with experts on Natural Language Processing during a six-month-long research stay at the National Institute of Informatics (NII), Tokyo.

The award ceremony took place at the headquarters of German Telekom in Bonn on July 4, 2019.

A video of Anastasia’s award announcement is available here.

Der Beitrag Anastasia Zhukova wins Women’s STEM Award 2019 erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Funding granted for a 3-year, interdisciplinary research project

wp-admin — Tue, 27 Nov 2018 15:16:35 +0000

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 conducted in collaboration with Prof. Dr. Karsten Donnay at the University of Zurich. Significant earlier work carried out by Felix Hamborg has led to the realization of this project.

Find more information on our media bias research here…

Der Beitrag Funding granted for a 3-year, interdisciplinary research project erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Article about Media Bias research in uni’kon

wp-admin — Fri, 04 May 2018 15:06:56 +0000

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.

Der Beitrag Article about Media Bias research in uni’kon erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Best Student Paper Award at the JCDL 2017

wp-admin — Thu, 22 Jun 2017 09:23:04 +0000

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.

Der Beitrag Best Student Paper Award at the JCDL 2017 erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.