TSpinde, Author at Media Bias Research

MBG to Organize Dagstuhl Seminar on Standardizing Media Bias for Computational Research

MBG News27. June 20262KViews 0Likes 0Comments

Tokyo, Japan — June 2026 — The Media Bias Group is pleased to announce that its proposal for a Dagstuhl Seminar has been accepted by Schloss Dagstuhl – Leibniz Center for Informatics, one of the world's most prestigious venues for scientific exchange in computer science. The seminar, entitled "Towards Standardizing Media Bias for Computational Research,"…

NII’s Echizen Laboratory and Media Bias Group Strengthen Collaboration on Trustworthy AI and Media Analysis

MBG News18. May 20262KViews 0Likes 0Comments

Tokyo, May 18, 2025 — The Echizen Laboratory at the National Institute of Informatics (NII), Japan, and the Media Bias Group (media-bias-research.org) are expanding their research collaboration in the areas of artificial intelligence, media bias analysis, and bias awareness. Over the past year, the Media Bias Group has been hosted at NII, supported in part…

New Doctoral and Postdoctoral Positions in Tokyo available

MBG News4. February 20262KViews 0Likes 0Comments

Tokyo, Japan — The Media Bias Group (MBG) announces new Postdoctoral and PhD opportunities hosted at the National Institute of Informatics (NII) in collaboration with SOKENDAI. The programs support research on media bias, content veracity, computational social science, and AI methods for analyzing digital information ecosystems. Postdoctoral Positions offer researchers the freedom to pursue…

MBG wins close to 700.000€ for building the BARI platform

MBG News3. August 20252KViews 0Likes 0Comments

We’re excited to announce that our team, in person of Prof. Dr. Bela Gipp, University of Göttingen, and Prof. Dr. Michael Granitzer, University of Passau, has been awarded a prestigious research grant of close to €700,000 by the German Research Foundation (DFG) to develop BARI—the Bias Analysis Research Infrastructure. The project brings together researchers from…

Media Bias 102: Review of Media Bias Detection Methods

General6. February 20255KViews 0Likes 0Comments

We reviewed, summarized, and organized the AI and other computational methods from 2019 to 2022 for detecting media bias into six categories. 7 Min Read || View Original Paper || Our Github Main Takeaways: We developed six categories to systematically organize computational methods for detecting various subtypes of media bias, providing a comprehensive framework for evaluating…

Media Bias 101: A Very Short Introduction to the Taxonomy

General3. February 20255KViews 0Likes 0Comments

The Media Bias Taxonomy aims to clarify the various subtypes of media bias and standardize the interdisciplinary terminology used to describe them. 8 min read || View Original Paper || Our Github Main Takeaways: We introduce the Media Bias Taxonomy—an interactive framework designed to explore different media bias types. Media bias is present not only…

Through research, reduction, and validation, we developed a questionnaire to assess readers' perceptions of media bias.

Do You Think It’s Biased? How to Measure the Perception of Media Bias

Perception19. September 20241KViews 0Likes 0Comments

We developed a questionnaire to assess readers' perceptions of media bias through research, reduction, and validation. 10 min read || View Original Paper || Media Bias Questionnaire Main Takeaways: We developed a 48-question questionnaire to measure how readers perceive media bias, which can be used in media studies and annotation processes. We semantically grouped the questions…

Training with BABE: The Bias Annotations By Experts Dataset for Automatic Media Bias Detection

Bias Datasets28. April 20241KViews 0Likes 0Comments

BABE—the dataset of Bias Annotations By Experts—is one of the largest media bias datasets with gold-standard expert annotations at the word and sentence levels. 13 min read || View Original Paper || Our Github Main Takeaways: We release BABE, one of the largest media bias datasets fully annotated by trained media bias experts, providing word-…

TSpinde