Evidence map›Paper›PMID 39895667›Full record

ArticleData in brief2025

Dataset of keywords used by European political parties on Facebook.

Francisco Caravaca, Ángel Cuevas, Rubén Cuevas

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Francisco CaravacaDepartment of Telematic Engineering, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganés, Spain.
Ángel CuevasDepartment of Telematic Engineering, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganés, Spain.
Rubén CuevasDepartment of Telematic Engineering, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganés, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset contains the frequency of thousands of terms (or keywords) used by political parties in the posts they have published in their Facebook pages. The data set is composed by 20,317 keywords from posts published by 279 European political parties from 28 countries and spans 5 years, from January 2019 to December 2023. Due to the large diversity of languages in the analysed countries, we have translated every post into English to compile this dataset. We also provide an open-access web portal: EU Political Barometer, in which a wide variety of analyses can be carried out without the need of working directly with the dataset. This allows scientists without a data analysis background to access the information embedded within the dataset. The information included in the dataset may be of value for social scientists that wants to understand the evolution of the topics employed by political parties in Europe based on a widely used political communication tool such as Facebook.

Indexed as

EuropePoliticsSocial mediaTerms

Identifiers

PMID39895667
PMCPMC11783047

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.