ReviewNature human behaviour2023
Machine culture.
Review in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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.
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Who cites it
23 citing papers in PubMed.
- Group size effects and collective misalignment in LLM multi-agent systems.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Propagation and preservation of AI-discovered problem-solving strategies in human culture.Nature communications · 2026Article
- Recognising and mitigating LLM Pollution in online behavioural research.Nature communications · 2026Article
- Computational hermeneutics: evaluating generative AI as a cultural technology.Frontiers in artificial intelligence · 2026Article
- Cultural tendencies in generative AI.Nature human behaviour · 2025Article
- Comparing the value of perceived human versus AI-generated empathy.Nature human behaviour · 2025Article
- Who expands the human creative frontier with generative AI: Hive minds or masterminds?Science advances · 2025Article
- Delving into LLM-assisted writing in biomedical publications through excess vocabulary.Science advances · 2025Article
- Extending Minds with Generative AI.Nature communications · 2025Article
- Emergent social conventions and collective bias in LLM populations.Science advances · 2025Article
- Revealing Kinetic Features of a Macrocyclization Reaction Using Machine-Learning-Augmented Data.Angewandte Chemie (International ed. in English) · 2025Article
- Mutual benefits of social learning and algorithmic mediation for cumulative culture.Journal of the Royal Society, Interface · 2025Article
- fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings.Scientific data · 2025Article
- Information architectures: a framework for understanding socio-technical systems.Npj complexity · 2025Article
- Opening strategies in the game of go from feudalism to superhuman AI.Evolutionary human sciences · 2025Article
- A new sociology of humans and machines.Nature human behaviour · 2024Review
- Emergence of cooperation in the one-shot Prisoner's dilemma through Discriminatory and Samaritan AIs.Journal of the Royal Society, Interface · 2024Article
- How large language models can reshape collective intelligence.Nature human behaviour · 2024Review
- AI emerges as the frontier in behavioral science.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The Emotional Intelligence of the GPT-4 Large Language Model.Psychology in Russia : state of the art · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of 'machine culture', culture mediated or generated by machines. We argue that intelligent machines simultaneously transform the cultural evolutionary processes of variation, transmission and selection. Recommender algorithms are altering social learning dynamics. Chatbots are forming a new mode of cultural transmission, serving as cultural models. Furthermore, intelligent machines are evolving as contributors in generating cultural traits-from game strategies and visual art to scientific results. We provide a conceptual framework for studying the present and anticipated future impact of machines on cultural evolution, and present a research agenda for the study of machine culture.
Indexed as
Identifiers
37985914What OpenQuestion holds
Registered trials
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.