626 citations · 776 across the 14 of their papers we have counts for
9 papers · 1 filter
Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort
Franziska Weeber, Felix Hamborg, Karsten Donnay +1
Large amounts of annotated data have become more important than ever, especially since the rise of deep learning techniques. However, manual annotations are costly. We propose a to…
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…
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…
XCoref: Cross-document Coreference Resolution in the Wild
Anastasia Zhukova, Felix Hamborg, Karsten Donnay +1
Datasets and methods for cross-document coreference resolution (CDCR) focus on events or entities with strict coreference relations. They lack, however, annotating and resolving co…
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
Anastasia Zhukova, Felix Hamborg, Karsten Donnay +1
Unsupervised concept identification through clustering, i.e., identification of semantically related words and phrases, is a common approach to identify contextual primitives emplo…
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…
Newsalyze: Enabling News Consumers to Understand Media Bias
Felix Hamborg, Anastasia Zhukova, Karsten Donnay +1
News is a central source of information for individuals to inform themselves on current topics. Knowing a news article's slant and authenticity is of crucial importance in times of…
Towards Target-dependent Sentiment Classification in News Articles
Felix Hamborg, Karsten Donnay, Bela Gipp
Extensive research on target-dependent sentiment classification (TSC) has led to strong classification performances in domains where authors tend to explicitly express sentiment ab…
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.…