Evidence map›Paper›PMID 41878042›Full record

ArticleFrontiers in psychology2026

Music speaks louder than lyrics: a conceptual priming experiment.

Alice Karbanova, Anja-Xiaoxing Cui

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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

2 authors.

Alice KarbanovaDepartment of Romance Languages, Faculty of Arts, Masaryk University, Brno, Czechia.
Anja-Xiaoxing CuiDepartment of Musicology, Faculty of Philology and Cultural Studies, University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although the processing of language and music are thought to be related, the semantic interplay of these domains in song remains relatively unexplored. This study investigates how music and lyrics contribute to conceptual meaning-making in song interpretation using a conceptual priming experiment. Methods: Fifty participants completed a lexical decision task in which target words were semantically related either to the music or to the lyrics of an ecologically valid song prime. Reaction times were used to infer semantic alignment. Results and Discussion: The results showed significantly faster responses to target words associated with the music than to those associated with the lyrics of the prime. This effect remained significant even after controlling for various properties of the primes and targets, which had been assessed by an additional 234 participants in complementary studies prior to the priming experiment. We also found a significant interaction between target type (music- vs. lyrics-related) and the Euclidean distance of valence and arousal between the prime and target: affective distance predicted reaction times only for music-derived targets. Ratings from the complementary studies indicated that music evoked more positive and arousing responses than lyrics, while lyrics appeared to dampen the affective intensity of musical excerpts. Our findings challenge the assumption of tight integration between melody and lyrics in song processing. They suggest that music and language contribute unequally to conceptual interpretation in song, with music playing a more dominant role. These results offer new insights into the construction of multi-modal meanings and the cognitive mechanisms underlying song comprehension.

Indexed as

cognitive linguisticsconceptual primingmusical semanticsmusic-language interactionssong interpretation

Identifiers

PMID41878042
PMCPMC13006578

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.