activity
20182022
most citedEnabling News Consumers to View and Understand Biased News Coverage: A Study on the Perception and Visualization of Media Bias

35 citations · 184 across the 21 of their papers we have counts for

collaborators

33 papers

cs.CL202218 cited

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…

cs.IR2022

Specialized Document Embeddings for Aspect-based Similarity of Research Papers

Malte Ostendorff, Till Blume, Terry Ruas +2

Document embeddings and similarity measures underpin content-based recommender systems, whereby a document is commonly represented as a single generic embedding. However, similarit…

cs.CY2021

Newsalyze: Effective Communication of Person-Targeting Biases in News Articles

Felix Hamborg, Kim Heinser, Anastasia Zhukova +2

Media bias and its extreme form, fake news, can decisively affect public opinion. Especially when reporting on policy issues, slanted news coverage may strongly influence societal…

cs.CY20214 cited

How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption?

Felix Hamborg, Timo Spinde, Kim Heinser +2

Slanted news coverage strongly affects public opinion. This is especially true for coverage on politics and related issues, where studies have shown that bias in the news may influ…

cs.DL20214 cited

MathTools: An Open API for Convenient MathML Handling

André Greiner-Petter, Moritz Schubotz, Howard S. Cohl +1

Mathematical formulae carry complex and essential semantic information in a variety of formats. Accessing this information with different systems requires a standardized machine-re…

cs.IR2021

A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia Articles

Malte Ostendorff, Corinna Breitinger, Bela Gipp

Literature recommendation systems (LRS) assist readers in the discovery of relevant content from the overwhelming amount of literature available. Despite the widespread adoption of…