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Multilingual Coarse Political Stance Classification of Media: Distribution of Topics per Newspaper

cover
19 May 2024

This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license.

Authors:

(1) Cristina España-Bonet, DFKI GmbH, Saarland Informatics Campus.

Table of Links

  • Abstract and Intro
  • Corpora Compilation
  • Political Stance Classification
  • Summary and Conclusions
  • Limitations and Ethics Statement
  • Acknowledgments and References
  • A. Newspapers in OSCAR 22.01
  • B. Topics
  • C. Distribution of Topics per Newspaper
  • D. Subjects for the ChatGPT and Bard Article Generation
  • E. Stance Classification at Article Level
  • F. Training Details

C. Distribution of Topics per Newspaper

Table 7: Number of articles per newspaper (row) and topic (column) for the German subset of OSCAR. See Table 5 for the definition of the topics. Topics boldfaced and in blue are used for training the classifier after balancing L vs R.

Table 8: Number of articles per newspaper (row) and topic (column) for the English subset of OSCAR. See Table 4 for the definition of the topics. Topics boldfaced and in blue are used for training the classifier after balancing L vs R.

Table 9: Number of articles per newspaper (row) and topic (column) for the Spanish subset of OSCAR. See Table 6 for the definition of the topics. Topics boldfaced and in blue are used for training the classifier after balancing L vs R.


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