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20212026
most citedHow to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption?

4 citations · 6 across the 7 of their papers we have counts for

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cs.CL2026

Diverse Word Choices, Same Reference: Annotating Lexically-Rich Cross-Document Coreference

Anastasia Zhukova, Felix Hamborg, Karsten Donnay +2

Cross-document coreference resolution (CDCR) identifies and links mentions of the same entities and events across related documents, enabling content analysis that aggregates infor…

cs.CL2025★ 1 cited

What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)

Anastasia Zhukova, Terry Ruas, Felix Hamborg +2

In a world overwhelmed with news, determining which information comes from reliable sources or how neutral is the reported information in the news articles poses a challenge to new…

cs.CL2021

Do You Think It's Biased? How To Ask For The Perception Of Media Bias

Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier +3

Media coverage possesses a substantial effect on the public perception of events. The way media frames events can significantly alter the beliefs and perceptions of our society. Ne…

cs.CL2021★ 1 cited

ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts

Anastasia Zhukova, Felix Hamborg, Bela Gipp

Named entity recognition (NER) is an important task that aims to resolve universal categories of named entities, e.g., persons, locations, organizations, and times. Despite its com…

cs.CL2021

Towards Evaluation of Cross-document Coreference Resolution Models Using Datasets with Diverse Annotation Schemes

Anastasia Zhukova, Felix Hamborg, Bela Gipp

Established cross-document coreference resolution (CDCR) datasets contain event-centric coreference chains of events and entities with identity relations. These datasets establish…