Evidence map›Paper›PMID 38548740›Full record

ArticleScientific reports2024

Song lyrics have become simpler and more repetitive over the last five decades.

Emilia Parada-Cabaleiro, Maximilian Mayerl, Stefan Brandl, Marcin Skowron, Markus Schedl, Elisabeth Lex, Eva Zangerle

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Patterns of linguistic simplification on social media platforms over time.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Emilia Parada-Cabaleiro *Department of Music Pedagogy, Nuremberg University of Music, Nuremberg, Germany.
Maximilian Mayerl *Department of Computer Science, University of Innsbruck, Innsbruck, Austria.
Stefan BrandlAI Lab, Human-centered AI Group, Linz Institute of Technology, Linz, Austria.
Marcin SkowronAustrian Research Institute for Artificial Intelligence, Vienna, Austria.
Markus SchedlMultimedia Mining and Search Group, Institute of Computational Perception, Johannes Kepler University Linz, Linz, Austria.
Elisabeth LexGraz University of Technology, Graz, Austria.
Eva ZangerleDepartment of Computer Science, University of Innsbruck, Innsbruck, Austria. eva.zangerle@uibk.ac.at.

Funding

Austrian Science Fund DFH-23Austrian Science Fund P33526
6 · The paper itself

Abstract

Music is ubiquitous in our everyday lives, and lyrics play an integral role when we listen to music. The complex relationships between lyrical content, its temporal evolution over the last decades, and genre-specific variations, however, are yet to be fully understood. In this work, we investigate the dynamics of English lyrics of Western, popular music over five decades and five genres, using a wide set of lyrics descriptors, including lyrical complexity, structure, emotion, and popularity. We find that pop music lyrics have become simpler and easier to comprehend over time: not only does the lexical complexity of lyrics decrease (for instance, captured by vocabulary richness or readability of lyrics), but we also observe that the structural complexity (for instance, the repetitiveness of lyrics) has decreased. In addition, we confirm previous analyses showing that the emotion described by lyrics has become more negative and that lyrics have become more personal over the last five decades. Finally, a comparison of lyrics view counts and listening counts shows that when it comes to the listeners' interest in lyrics, for instance, rock fans mostly enjoy lyrics from older songs; country fans are more interested in new songs' lyrics.

Indexed as

MusicEmotionsVocabularyAnalysisGenreMusicPopularitySong lyrics

Identifiers

PMID38548740
PMCPMC10978890

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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.