35 citations · 179 across the 20 of their papers we have counts for
21 papers
Definitional Sensitivity in Media Bias Detection: A Multi-Definition Dataset and Benchmark
Martin Wessel, Timo Spinde, Jürgen Pfeffer +1
Media bias detection relies on definitions and examples that specify what counts as bias, yet these specifications often vary across datasets or remain implicit, even when given th…
The Landscape of Misinformation Literacy Games: A Systematic Mapping Review of Game Designs and Evaluation Practices
Omed Abed, Smi Hinterreiter, Sijia Guo +3
This systematic mapping review examines 54 gamified interventions aimed at combating misinformation. We analyze the theoretical frameworks, game design, and media contexts of acade…
Visual Indicators to Increase the Detection of Linguistic Media Bias
Smi Hinterreiter, Anna Chelsea Bahß, Ann-Christin Gah +3
The influence of linguistic bias in online news articles is a growing concern, particularly in the context of shaping public opinion and rising political polarization. While there…
Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics
Isabella Habereder, Thomas Kneib, Isao Echizen +1
The under-representation of women as sources cited in news media is one prominent representation of gender bias. Understanding where gender bias concentrates and how it evolves is…
Role-Aware Artificial Intelligence Across Augmentation and Automation in Human-Machine Symbiosis
Ching-Chun Chang, Yuchen Guo, Hanrui Wang +2
The evolution of artificial intelligence (AI) has rendered the boundary between humanity and computational machinery increasingly ambiguous. In the presence of more interwoven rela…
SciDef: Datasets and Tools for Automated Definition Extraction from Scientific Literature with LLMs
Filip Kučera, Christoph Mandl, Isao Echizen +2
Scientific concepts are often defined inconsistently across papers, making it difficult to compare findings, reuse terminology, and build reliable downstream resources. We present…
A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications
Isabella Habereder, Thomas Kneib, Isao Echizen +1
Data with spatio-temporal attributes are prevalent across many research fields, and statistical models for analyzing spatio-temporal relationships are widely used. Existing reviews…
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
Timo Spinde, Luyang Lin, Smi Hinterreiter +1
This paper introduces TaxoMatic, a framework that leverages large language models to automate definition extraction from academic literature. Focusing on the media bias domain, the…
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
Tomas Horych, Christoph Mandl, Terry Ruas +4
High annotation costs from hiring or crowdsourcing complicate the creation of large, high-quality datasets needed for training reliable text classifiers. Recent research suggests u…
NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback
Smi Hinterreiter, Martin Wessel, Fabian Schliski +3
Media bias is a multifaceted problem, leading to one-sided views and impacting decision-making. A way to address digital media bias is to detect and indicate it automatically throu…
News Ninja: Gamified Annotation of Linguistic Bias in Online News
Smi Hinterreiter, Timo Spinde, Sebastian Oberdörfer +2
Recent research shows that visualizing linguistic bias mitigates its negative effects. However, reliable automatic detection methods to generate such visualizations require costly,…
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
Tomáš Horych, Martin Wessel, Jan Philip Wahle +6
Media bias detection poses a complex, multifaceted problem traditionally tackled using single-task models and small in-domain datasets, consequently lacking generalizability. To ad…
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
Timo Spinde, Smi Hinterreiter, Fabian Haak +4
The way the media presents events can significantly affect public perception, which in turn can alter people's beliefs and views. Media bias describes a one-sided or polarizing per…
Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection
Martin Wessel, Tomáš Horych, Terry Ruas +3
Although media bias detection is a complex multi-task problem, there is, to date, no unified benchmark grouping these evaluation tasks. We introduce the Media Bias Identification B…
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 +2
Extracting information from academic PDF documents is crucial for numerous indexing, retrieval, and analysis use cases. Choosing the best tool to extract specific content elements…
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles
Timo Spinde, Jan-David Krieger, Terry Ruas +4
Media has a substantial impact on the public perception of events. A one-sided or polarizing perspective on any topic is usually described as media bias. One of the ways how bias i…
A Domain-adaptive Pre-training Approach for Language Bias Detection in News
Jan-David Krieger, Timo Spinde, Terry Ruas +2
Media bias is a multi-faceted construct influencing individual behavior and collective decision-making. Slanted news reporting is the result of one-sided and polarized writing whic…
Towards A Reliable Ground-Truth For Biased Language Detection
Timo Spinde, David Krieger, Manuel Plank +1
Reference texts such as encyclopedias and news articles can manifest biased language when objective reporting is substituted by subjective writing. Existing methods to detect bias…
Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings
Timo Spinde, Lada Rudnitckaia, Felix Hamborg +1
Slanted news coverage, also called media bias, can heavily influence how news consumers interpret and react to the news. To automatically identify biased language, we present an ex…
MBIC -- A Media Bias Annotation Dataset Including Annotator Characteristics
T. Spinde, L. Rudnitckaia, K. Sinha +3
Many people consider news articles to be a reliable source of information on current events. However, due to the range of factors influencing news agencies, such coverage may not a…
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 +2
Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors.…