ReviewNature human behaviour2024
A new sociology of humans and machines.
Review in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 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
- Successful coordination emerges from aligned self-predictions in a dynamic motor interaction.Communications psychology · 2026Article
- Artificial Agency as a New Force in Global Environmental Change.Environmental science & technology · 2026Article
- Recognising and mitigating LLM Pollution in online behavioural research.Nature communications · 2026Article
- Perspectives on How Sociology Can Advance Theorizing About Human-Chatbot Interaction and Developing Chatbots for Social Good.JMIR AI · 2026Article
- A large-scale evaluation of commonsense knowledge in humans and large language models.PNAS nexus · 2026Article
- Expectancy and value beliefs predicting generative AI use: evidence from Chinese university faculty.Frontiers in psychology · 2026Article
- Personality, identity, and Artificial Intelligence: a grand challenge.Frontiers in psychology · 2026Article
- AGI imagined: social AGI and the co-formation of human-AGI society.Frontiers in artificial intelligence · 2026Review
- Tree-Based Methods to Predict Enzyme Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026Article
- AI's assigned gender affects human-AI cooperation.iScience · 2025Article
- Organizations, teams and job mobility: a social microdynamics approach inspired by a large US organization.Royal Society open science · 2025Article
- Article
- Emergent social conventions and collective bias in LLM populations.Science advances · 2025Article
- AI-enhanced collective intelligence.Patterns (New York, N.Y.) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
From fake social media accounts and generative artificial intelligence chatbots to trading algorithms and self-driving vehicles, robots, bots and algorithms are proliferating and permeating our communication channels, social interactions, economic transactions and transportation arteries. Networks of multiple interdependent and interacting humans and intelligent machines constitute complex social systems for which the collective outcomes cannot be deduced from either human or machine behaviour alone. Under this paradigm, we review recent research and identify general dynamics and patterns in situations of competition, coordination, cooperation, contagion and collective decision-making, with context-rich examples from high-frequency trading markets, a social media platform, an open collaboration community and a discussion forum. To ensure more robust and resilient human-machine communities, we require a new sociology of humans and machines. Researchers should study these communities using complex system methods; engineers should explicitly design artificial intelligence for human-machine and machine-machine interactions; and regulators should govern the ecological diversity and social co-development of humans and machines.
Indexed as
Identifiers
39438685What 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.