Enabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias. - Timo Spinde; Felix Hamborg; Karsten Donnay; Angelica Becerra; Bela Gipp (JCDL, 2020)

An Integrated Approach to Detect Media Bias in German News Articles. - Timo Spinde; Felix Hamborg; Bela Gipp (JCDL, 2020)

Media Bias in German News Articles: A Combined Approach. - Timo Spinde; Felix Hamborg; Bela Gipp (PKDD/ECML Workshops, 2020)

Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts. - Timo Spinde; Manuel Plank; Jan-David Krieger; Terry Ruas; Bela Gipp; Akiko Aizawa (EMNLP (Findings), 2021)

Identification of Biased Terms in News Articles by Comparison of Outlet-Specific Word Embeddings. - Timo Spinde; Lada Rudnitckaia; Felix Hamborg; Bela Gipp (iConference (2), 2021)

An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles. - Timo Spinde (ICDM (Workshops), 2021)

Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities. - Jonas Ehrhardt; Timo Spinde; Ali Vardasbi; Felix Hamborg (ISI, 2021)

Do You Think It's Biased? How To Ask For The Perception Of Media Bias. - Timo Spinde; Christina Kreuter; Wolfgang Gaissmaier; Felix Hamborg; Bela Gipp; Helge Giese (JCDL, 2021)

Towards A Reliable Ground-Truth For Biased Language Detection. - Timo Spinde; Jan-David Krieger; Manuel Plank; Bela Gipp (JCDL, 2021)

TASSY - A Text Annotation Survey System. - Timo Spinde; Kanishka Sinha; Norman Meuschke; Bela Gipp (JCDL, 2021)

How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? (short paper). - Felix Hamborg; Timo Spinde; Kim Heinser; Karsten Donnay; Bela Gipp (INRA@RecSys, 2021)

MBIC - A Media Bias Annotation Dataset Including Annotator Characteristics. - Timo Spinde; Lada Rudnitckaia; Kanishka Sinha; Felix Hamborg; Bela Gipp; Karsten Donnay (CoRR, 2021)

How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption? - Felix Hamborg; Timo Spinde; Kim Heinser; Karsten Donnay; Bela Gipp (CoRR, 2021)

Automated identification of bias inducing words in news articles using linguistic and context-oriented features. - Timo Spinde; Lada Rudnitckaia; Jelena Mitrovic; Felix Hamborg; Michael Granitzer; Bela Gipp; Karsten Donnay (Inf. Process. Manag., 2021)

Exploiting Transformer-Based Multitask Learning for the Detection of Media Bias in News Articles. - Timo Spinde; Jan-David Krieger; Terry Ruas; Jelena Mitrovic; Franz Götz-Hahn; Akiko Aizawa; Bela Gipp (iConference (1), 2022)

A domain-adaptive pre-training approach for language bias detection in news. - Jan-David Krieger; Timo Spinde; Terry Ruas; Juhi Kulshrestha; Bela Gipp (JCDL, 2022)

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents. - Norman Meuschke; Apurva Jagdale; Timo Spinde; Jelena Mitrovic; Bela Gipp (iConference (2), 2023)

Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection. - Martin Wessel; Tomás Horych; Terry Ruas; Akiko Aizawa; Bela Gipp; Timo Spinde (SIGIR, 2023)

The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias. - Timo Spinde; Smi Hinterreiter; Fabian Haak; Terry Ruas; Helge Giese; Norman Meuschke; Bela Gipp (CoRR, 2023)

What do Twitter comments tell about news article bias? Assessing the impact of news article bias on its perception on Twitter. - Timo Spinde; Elisabeth Richter; Martin Wessel; Juhi Kulshrestha; Karsten Donnay (Online Soc. Networks Media, 2023)

MAGPIE: Multi-Task Analysis of Media-Bias Generalization with Pre-Trained Identification of Expressions. - Tomás Horych; Martin Paul Wessel; Jan Philip Wahle; Terry Ruas; Jerome Waßmuth; André Greiner-Petter; Akiko Aizawa; Bela Gipp; Timo Spinde (LREC/COLING, 2024)

MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions. - Tomás Horych; Martin Wessel; Jan Philip Wahle; Terry Ruas; Jerome Waßmuth; André Greiner-Petter; Akiko Aizawa; Bela Gipp; Timo Spinde (CoRR, 2024)

Enhancing Media Literacy: The Effectiveness of (Human) Annotations and Bias Visualizations on Bias Detection. - Timo Spinde; Fei Wu; Wolfgang Gaissmaier; Gianluca Demartini; Helge Giese (CoRR, 2024)

News Ninja: Gamified Annotation of Linguistic Bias in Online News. - Smi Hinterreiter; Timo Spinde; Sebastian Oberdörfer; Isao Echizen; Marc Erich Latoschik (Proc. ACM Hum. Comput. Interact., 2024)

NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback. - Smi Hinterreiter; Martin Paul Wessel; Fabian Schliski; Isao Echizen; Marc Erich Latoschik; Timo Spinde (ICWSM, 2025)

Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic - a Case Study on Media Bias. - Timo Spinde; Luyang Lin; Smi Hinterreiter; Isao Echizen (ICWSM, 2025)

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection. - Tomás Horych; Christoph Mandl; Terry Ruas; André Greiner-Petter; Bela Gipp; Akiko Aizawa; Timo Spinde (NAACL (Findings), 2025)

Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection. - Timo Spinde; Fei Wu; Wolfgang Gaissmaier; Gianluca Demartini; Isao Echizen; Helge Giese (Inf. Process. Manag., 2025)

Through the LLM Looking Glass: A Socratic Self-Assessment of Donkeys, Elephants, and Markets. - Molly Kennedy; Ayyoob Imani; Timo Spinde; Hinrich Schütze (CoRR, 2025)