Evidence map›Paper›PMID 41022815›Full record

ArticleScientific data2025

Annotated Spanish general election debate transcriptions 1993-2023.

Fermín L Cruz, Fernando Enríquez, F Javier Ortega, José A Troyano

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fermín L CruzDepartment of Computer Languages and Systems, University of Seville, Seville, Spain. fcruz@us.es.ORCID http://orcid.org/0000-0001-9029-9963
Fernando EnríquezDepartment of Computer Languages and Systems, University of Seville, Seville, Spain. fenros@us.es.
F Javier OrtegaDepartment of Computer Languages and Systems, University of Seville, Seville, Spain. javierortega@us.es.
José A TroyanoDepartment of Computer Languages and Systems, University of Seville, Seville, Spain. troyano@us.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The automatic analysis of political discourse requires systematic resources, particularly for non-Anglophone electoral debates, which differ from parliamentary sessions. This paper describes the DebatES dataset, containing manually reviewed transcriptions of nearly all Spanish nationally televised general election debates since 1993. Transcripts are segmented into turns and thematic blocks and include participant metadata. The data is enriched with linguistic-stylistic metrics derived from NLP analysis and extensive annotations combining Large Language Models and manual validation. Annotations cover turn topics, emotions, relevant entity mentions, electoral proposals, and factual claims. To facilitate access and reuse, the dataset is distributed in standard formats (XML and CSV), accompanied by interactive reports for visual exploration. This dataset provides a valuable resource for researchers in linguistics, political science, and language technologies, opening new avenues for studying the evolution of discourse, persuasive strategies, and ideological polarisation within the Spanish political context.

Identifiers

PMID41022815
PMCPMC12480686

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.