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PhD Researcher

Isabella Habereder

Isabella Habereder

Short biography

Isabella is a Ph.D. student in Statistics at the Georg-August University in Göttingen. She cooperation with the Media Bias Research Group and the National Institute of Informatics in Tokyo. Her main interests are the spatio-temporal distribution of Media Bias and its related concepts. With a background in mathematics and through the lens of statistics, she contributes to a deeper, interdisciplinary understanding of Media Bias in terms of its spatial and temporal dimensions.

Projects

  • Global Media Bias Taxonomy: A (Semi-)automatic Taxonomy Generation Pipeline
  • Media Bias Identification Benchmark Task and Dataset Collection (MBIB 2.0)
  • Change Point Detection in Media Coverage Bias Using Deep Learning

Contact

i.habereder[at]media-bias-research.org

References

automated content analysis bias data set bias indication content analysis context analysis Coreference resolution crowdsourcing dataset emotions fake news Filter bubble Game With A Purpose Horse race news linguistic bias LLM media bias media bias; bias by omission; news articles; co-occurrences Media slant misinformation news analysis news bias News literacy news slant perception of news Polarization relevance classification Sentiment analysis synthetic annotations text retrieval Transfer learning

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