mlsanityData to 7 Oct 2026

Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection

arXiv 2401.15717 ↗First posted 28 Jan 2024cs.CLcited by 5

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Abstract (arXiv)

Many European citizens become targets of the Kremlin propaganda campaigns, aiming to minimise public support for Ukraine, foster a climate of mistrust and disunity, and shape elections (Meister, 2022). To address this challenge, we developed ''Check News in 1 Click'', the first NLP-empowered pro-Kremlin propaganda detection application available in 7 languages, which provides the lay user with feedback on their news, and explains manipulative linguistic features and keywords. We conducted a user study, analysed user entries and models' behaviour paired with questionnaire answers, and investigated the advantages and disadvantages of the proposed interpretative solution.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 7 of its 23 references that are in the map. First posted on arXiv 28 Jan 2024.

Builds on

7 of 23 references.

References · 7

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Defending Against Neural Fake Newscited by 553
  3. 2020Prta: A System to Support the Analysis of Propaganda Techniques in the Newscited by 23
  4. 2019Proppy: A System to Unmask Propaganda in Online Newscited by 16
  5. 2022Russian propaganda on social media during the 2022 invasion of Ukrainecited by 15
  6. 2022Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classificationcited by 11
  7. 2023Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram postscited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 2.

5 papers.

  1. 2024The FIGNEWS Shared Task on News Media Narrativescited by 7
  2. 2025MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messagescited by 1
  3. 2026Multiperspectivity as a Resource for Narrative Similarity Predictioncited by 1
  4. 2025XplaiNLP at CheckThat! 2025: Multilingual Subjectivity Detection with Finetuned Transformers and Prompt-Based Inference with Large Language Modelscited by 0
  5. 2026Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemascited by 0