Evidence map›Paper›PMID 39299963›Full record

SynthesisPsychonomic bulletin & review2025

How does emotional content influence visual word recognition? A meta-analysis of valence effects.

Pilar Ferré, Alberto J Sánchez-Carmona, Juan Haro, Rocío Calvillo-Torres, Jacobo Albert, José Antonio Hinojosa

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Psychonomic bulletin & review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. The Effects of Individualized Arousal on Recognition Memory of Words.Behavioral sciences (Basel, Switzerland) · 2026
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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

6 authors.

Pilar FerréDepartament de Psicologia and CRAMC, Universitat Rovira i Virgili, Tarragona, Spain. mariadelpilar.ferre@urv.cat.
Alberto J Sánchez-CarmonaCentro Neuromottiva, Madrid, Spain.
Juan HaroDepartament de Psicologia and CRAMC, Universitat Rovira i Virgili, Tarragona, Spain.
Rocío Calvillo-TorresDepartamento de Psicología Experimental, Procesos Cognitivos y Logopedia, Universidad Complutense de Madrid, Madrid, Spain.
Jacobo AlbertDepartamento de Psicología Experimental, Procesos Cognitivos y Logopedia, Universidad Complutense de Madrid, Madrid, Spain.
José Antonio HinojosaDepartamento de Psicología Experimental, Procesos Cognitivos y Logopedia, Universidad Complutense de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the interplay between language and emotion has shown evidence that the affective content of words influences their recognition. However, the direction of the effects is not clear, as there are mixed findings regarding the role of positive and, especially, negative valence. We conducted a Bayesian multi-level meta-analysis to examine the role of valence in visual word recognition, focusing on the lexical decision task. The results revealed a facilitative effect of positive valence on lexical decision times. That is, positive words led to faster responses than both negative and neutral words. In contrast, negative valence did not have any effect, although the analysis of several moderator variables suggested that there might be a facilitative effect in some cases, specifically, when negative words elicit very strong and intense emotions. These results shed light on the complexities of emotional word processing. They also point to the need for psycholinguistic models to take affective information into account, and thus provide a complete view of visual word recognition.

Indexed as

EmotionsPattern Recognition, VisualReadingRecognition, PsychologyBayes TheoremHumansPsycholinguisticsBayesian multi-level meta-analysisLexical decision taskNegative valencePositive valenceVisual word recognition

Identifiers

PMID39299963
PMCPMC12000208

What OpenQuestion holds

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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.