Evidence map›Paper›PMID 31959923›Full record

ArticleNature human behaviour2020

The pace of modern culture.

Ben Lambert, Georgios Kontonatsios, Matthias Mauch, Theodore Kokkoris, Matthew Jockers, Sophia Ananiadou, Armand M Leroi

Abstract read
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In one paragraph

Article in Nature human behaviour, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Does literature evolve one funeral at a time?Proceedings. Biological sciences · 2025
    Article
  2. The dynamics of higher-order novelties.Nature communications · 2025
    Article
  3. Article
  4. Article
  5. Review
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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

7 authors.

Ben LambertDepartment of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-4274-4158
Georgios KontonatsiosNational Centre for Text Mining, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
Matthias MauchSchool of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-4352-6809
Theodore KokkorisDepartment of Computing, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3090-074X
Matthew JockersCollege of Arts and Sciences, Washington State University, Pullman, WA, USA.ORCID http://orcid.org/0000-0001-5599-3706
Sophia AnaniadouNational Centre for Text Mining, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-4097-9191
Armand M LeroiDepartment of Life Sciences, Imperial College London, London, UK. a.leroi@imperial.ac.uk.ORCID http://orcid.org/0000-0002-5603-0351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we investigate the evolutionary dynamics of several kinds of modern cultural artefacts-pop music, novels, the clinical literature and cars-as well as a collection of organic populations. In contrast to the general belief that modern culture evolves very quickly, we show that rates of modern cultural evolution are comparable to those of many animal populations. Using time-series methods, we show that much of modern culture is shaped by either stabilizing or directional forces or both and that these forces partly regulate the rates at which different traits evolve. We suggest that these forces are probably cultural selection and that the evolution of many artefact traits can be explained by a shifting-optimum model of cultural selection that, in turn, rests on known psychological biases in aesthetic appreciation. In sum, our results demonstrate the deep unity of the processes and patterns of cultural and organic evolution.

Indexed as

Cultural EvolutionCultureAnimalsBiological EvolutionHumansModels, TheoreticalTime Factors

Identifiers

PMID31959923

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.