Abstract
This study traces how Ecuadorian news outlets framed the 2025 general elections on social platforms. We analysed 8174 posts from 48 media accounts on Facebook, Instagram, TikTok and X (1 Jan-29 Jun 2025). Spanish texts were cleaned, embedded with a RoBERTa model, reduced via UMAP and clustered with BERTopic-HDBSCAN. Thirty-one topics emerged (mean coherence C-v=0.50; diversity =0.84); five hold 47.5% of the corpus and centre on Daniel Noboa and territorial voting patterns. Posting spikes on 9 Feb, 23 Mar and 13 Apr coincide with the first round, the presidential debate and the runoff, confirming an event-driven agenda. A document map shows dense central clusters for high-volume themes and scattered points for marginal narratives. Content production remains concentrated: three outlets generate nearly one-third of posts and Facebook carries over half the traffic, suggesting that social-platform affordances have not displaced traditional logics of centralisation and candidate-centric framing in Ecuadorian electoral journalism.
| Original language | English |
|---|---|
| Title of host publication | ETCM 2025 - 9th Ecuador Technical Chapters Meeting |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331552640 |
| DOIs | |
| State | Published - 2025 |
| Event | 9th Ecuador Technical Chapters Meeting, ETCM 2025 - Quito, Ecuador Duration: 21 Oct 2025 → 24 Oct 2025 |
Publication series
| Name | ETCM 2025 - 9th Ecuador Technical Chapters Meeting |
|---|
Conference
| Conference | 9th Ecuador Technical Chapters Meeting, ETCM 2025 |
|---|---|
| Country/Territory | Ecuador |
| City | Quito |
| Period | 21/10/25 → 24/10/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- BERTopic
- Ecuador 2025 elections
- electoral communication
- HDBSCAN
- political communication
- political topic modeling
- social-media mining
- UMAP
- unsupervised NLP
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