mlsanityData to 14 Oct 2026

UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Elections

arXiv 2505.05459 ↗First posted 8 May 2025cs.CL cs.SIcited by 5

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Abstract (arXiv)

Misleading narratives play a crucial role in shaping public opinion during elections, as they can influence how voters perceive candidates and political parties. This entails the need to detect these narratives accurately. To address this, we introduce the first taxonomy of common misleading narratives that circulated during recent elections in Europe. Based on this taxonomy, we construct and analyse UKElectionNarratives: the first dataset of human-annotated misleading narratives which circulated during the UK General Elections in 2019 and 2024. We also benchmark Pre-trained and Large Language Models (focusing on GPT-4o), studying their effectiveness in detecting election-related misleading narratives. Finally, we discuss potential use cases and make recommendations for future research directions using the proposed codebook and dataset.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 12 of its 109 references that are in the map. First posted on arXiv 8 May 2025.

Builds on

12 of 109 references.

References · 12

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  7. 2019Fine-Grained Analysis of Propaganda in News Articlescited by 133
  8. 2018RumourEval 2019: Determining Rumour Veracity and Support for Rumourscited by 75
  9. 2017Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Electioncited by 26
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 5.

5 papers.

  1. 2026Retrieving Climate Change Disinformation by Narrativecited by 2
  2. 2026Infini-News: Efficiently Queryable Access to 1.3 Billion Processed Common Crawl News Articlescited by 1
  3. 2026LLM-based Detection of Manipulative Political Narrativescited by 0
  4. 2026MigrationNarrate: A Dataset for Detection of Migration Narratives in YouTube Videoscited by 0
  5. 2026From Repetition to Recognition: Inductive Discovery of Disinformation Narrativescited by 0