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Political Narratives in the 2024 Moldovan Presidential Election: Stance, Amplification, and Influence — arXiv:2610.22464

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.22464
License (as archived): CC0-1.0
Archived: 2026-10-19T08:42:49.035Z
SHA-256 of the archived text: 491fa437eee250a9e97e2d0003881b476f395da6f916936cde87c4f65d9326a8
Stable URL of this page: https://metraipolis.com/documento/dc_be8886cd4fc0

How to cite

Political Narratives in the 2024 Moldovan Presidential Election: Stance, Amplification, and Influence — arXiv:2610.22464 — arXiv (en), https://arxiv.org/abs/2610.22464 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_be8886cd4fc0 (Metraipolis archive dc_be8886cd4fc0, sha256 491fa437eee250a9e97e2d0003881b476f395da6f916936cde87c4f65d9326a8)

BibTeX

@misc{dcbe8886cd4fc0,
  title = {Political Narratives in the 2024 Moldovan Presidential Election: Stance, Amplification, and Influence — arXiv:2610.22464},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.22464},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_be8886cd4fc0; sha256 491fa437eee250a9e97e2d0003881b476f395da6f916936cde87c4f65d9326a8},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.22464. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Social media platforms play a central role in shaping political discourse during elections, particularly in geopolitically contested regions. We study how political narratives emerged, aligned, and propagated during the 2024 Moldovan presidential election by analyzing publicly available posts collected from X, Facebook, and Reddit between August and October 2024. Combining multilingual stance detection, coordination analysis, and causal inference, we examine both descriptive and causal mechanisms underlying online political discourse. First, we apply large language models to classify stance toward European integration, Russia, and the two main presidential candidates, revealing clear cross-platform and cross-linguistic differences in how political positions are expressed. Second, we construct retweet-based and semantic alignment networks on X to identify amplification and aligned framing of dominating narratives. Finally, we use a proximal causal inference framework to estimate peer influence effects in stance formation. Our results indicate consistently positive and statistically significant average treatment effects across major stance categories. These findings provide evidence that amplification and peer exposure contribute to the reinforcement of political narratives online. This work offers the first analysis of social media discourse surrounding the 2024 Moldovan presidential election and demonstrates the value of integrating language-based annotation, network analysis, and causal inference for studying political influence in multilingual and geopolitically sensitive contexts.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Social and Information Networks (cs.SI) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2610.22464 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T08:39:10.107Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).