ZORA Publikationsliste

Publikationen

• 2021

  • Mayer, B., Lawonn, K., Donnay, K., Preim, B., & Meuschke, M. (2021). VEHICLE: Validation and exploration of the hierarchical integration of conflict event data Computer Graphics Forum, 40, 1–12. https://doi.org/10.1111/cgf.14284
  • Spinde, T., Rudnitckaia, L., Mitrović, J., Hamborg, F., Granitzer, M., Gipp, B., & Donnay, K. (2021). Automated identification of bias inducing words in news articles using linguistic and context-oriented features Information Processing & Management, 58, 102505. https://doi.org/10.1016/j.ipm.2021.102505
  • Feick, L., Donnay, K., & McCabe, K. T. (2021). The subconscious effect of subtle media bias on perceptions of terrorism American Politics Research, 49, 313–318. https://doi.org/10.1177/1532673x20972105
  • Hamborg, F., & Donnay, K. (2021). NewsMTSC: a dataset for (multi-)target-dependent sentiment classification in political news articles In P. Merlo & A. Association for Computational Linguistics (Eds.), Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (pp. 1663–1675). Association for Computational Linguistics (ACL).
  • Hamborg, F., Donnay, K., & Gipp, B. (2021). Towards target-dependent sentiment classification in news articles In K. Toeppe, H. Yan, & S. K. W. Chu (Eds.), Diversity, divergence, dialogue (pp. 156–166). Springer. https://doi.org/10.1007/978-3-030-71305-8_12
  • Zhukova, A., Hamborg, F., Donnay, K., & Gipp, B. (2021). Concept identification of directly and indirectly related mentions referring to groups of persons In K. Toeppe, H. Yan, & S. K. W. Chu (Eds.), Diversity, divergence, dialogue (pp. 514–526). Springer. https://doi.org/10.1007/978-3-030-71292-1_40
  • Spinde, T., Rudnitckaia, L., Sinha, K., Hamborg, F., Gipp, B., & Donnay, K. (2021). MBIC – A media bias annotation dataset including annotator characteristics online. https://www.ideals.illinois.edu/handle/2142/109680

• 2020

  • Spinde, T., Hamborg, F., Donnay, K., Becerra, A., & Gipp, B. (2020). Enabling news consumers to view and understand biased news coverage: a study on the perception and visualization of media bias (A. Association for Computing Machinery, Ed.; pp. 389–392). ACM/IEEE. https://doi.org/10.1145/3383583.3398619
  • Hamborg, F., Zhukova, A., Donnay, K., & Gipp, B. (2020). Newsalyze: enabling news consumers to understand media bias (A. Association for Computing Machinery, Ed.; pp. 455–456). ACM/IEEE. https://doi.org/10.1145/3383583.3398561
  • Koch, C. M., Moise, I., Helbing, D., & Donnay, K. (2020). Public debate in the media matters: evidence from the European refugee crisis EPJ Data Science, 9, 1–27. https://doi.org/10.1140/epjds/s13688-020-00229-8

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