All Stories

  1. Semantic temporality analysis: A computational approach to time in English and German texts
  2. Seeded Sequential LDA: A Semi-Supervised Algorithm for Topic-Specific Analysis of Sentences
  3. Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm
  4. Discursive diversion: Manipulation of nuclear threats by the conservative leaders in Japan and Israel
  5. Could leaders deflect from political scandals? Cross-national experiments on diversionary action in Israel and Japan
  6. The Geopolitical Threat Index: A Text-Based Computational Approach to Identifying Foreign Threats
  7. Latent Semantic Scaling: A Semisupervised Text Analysis Technique for New Domains and Languages
  8. Theory-Driven Analysis of Large Corpora: Semisupervised Topic Classification of the UN Speeches
  9. quanteda: An R package for the quantitative analysis of textual data
  10. ‘Russian Spring’ or ‘Spring Betrayal’? The Media as a Mirror of Putin’s Evolving Strategy in Ukraine
  11. Measuring news bias: Russia’s official news agency ITAR-TASS’ coverage of the Ukraine crisis
  12. Newsmap
  13. The spread of the Kremlin’s narratives by a western news agency during the Ukraine crisis
  14. The western perspective in Yahoo! News and Google News