Evidence map›Paper›PMID 40730803›Full record

ArticleScientific data2025

Emoji-Dis: A dataset of emojis characterised in 13 discrete emotions.

Pilar Ferré, Juan Haro, Miguel Ángel Pérez-Sánchez, José Antonio Hinojosa

Abstract readDataset
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.

Pilar FerréUniversitat Rovira i Virgili, Department of Psychology and CRAMC, Tarragona, Spain. mariadelpilar.ferre@urv.cat.ORCID 0000-0002-3192-0040
Juan HaroUniversitat Rovira i Virgili, Department of Psychology and CRAMC, Tarragona, Spain.
Miguel Ángel Pérez-SánchezDepartamento de Psicología Básica y Metodología, Universidad de Murcia, Murcia, Spain.ORCID 0000-0001-8638-0283
José Antonio HinojosaInstituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emojis are widely used in digital communication. A key function of these symbols is to convey affective meaning. In order to study emojis scientifically, it is necessary to have normative data characterising them on a number of relevant variables. So far, however, resources in this area are scarce. This article presents subjective norms for 112 emojis in 13 affective dimensions that refer to discrete emotions: anger, disgust, fear, sadness, anxiety, happiness, awe, contentment, amusement, excitement, serenity, relief, and pleasure. This data was collected from 763 Spanish speakers and validated using standard methods applied to existing affective datasets of emojis and words. This is the first normative emoji study to provide data on a large number of positive emotions. Given that most emojis are used to communicate positive emotions, these norms will be of particular value to researchers interested in these graphic icons from a variety of academic fields. The dataset has been made freely available.

Indexed as

EmotionsHumans

Identifiers

PMID40730803
PMCPMC12307614

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.