Transmitting and sharing

2019 ◽  
pp. 156-185
Author(s):  
Alberto Acerbi
Keyword(s):  
Cultural Evolution ◽  
Cultural Transmission ◽  
Digital Technologies ◽  
Interesting Case ◽  
New Information

The chapter examines in more detail the processes that underpin cultural transmission offline and compare it with the online equivalents. Starting from the cultural evolution criticism of memetics, it discusses how cultural stability can be achieved both with preservative processes, where new information is passed on with fidelity, and reconstructive ones, where the material is transformed by individual minds in a non-random way. Different domains are characterized by different degrees of reconstruction and preservation. Whereas internet memes are not always replicated exactly, as often thought, digital technologies do provide several fidelity amplifiers that make online transmission, in this respect, an interesting case of cultural transmission. The author finally discusses possible consequences of this difference between online and offline transmission.

Cultural evolution and cultural psychology

2018 ◽  
Author(s):  
Alex Mesoudi
Keyword(s):  
Cultural History ◽  
Cultural Evolution ◽  
Cultural Transmission ◽  
Cultural Psychology ◽  
Phylogenetic Analyses ◽  
Cultural Dimensions ◽  
Human Cognition ◽  
Cultural Variation ◽  
Cultural Inheritance ◽  
Human Psychology

Cultural evolution is a branch of the evolutionary sciences which assumes that (i) human cognition and behaviour is shaped not only by genetic inheritance, but also cultural inheritance (also known as social learning), and (ii) this cultural inheritance constitutes a Darwinian evolutionary system that can be analysed and studied using tools borrowed from evolutionary biology. In this chapter I explore the numerous compatibilities between the fields of cultural evolution and cultural psychology, and the potential mutual benefits from their closer alignment. First, understanding the evolutionary context within which human psychology emerged gives added significance to the findings of cultural psychologists, which reinforce the conclusion reached by cultural evolution scholars that humans inhabit a ‘cultural niche’ within which the major means of adaptation to difference environments is cultural, rather than genetic. Hence, we should not be surprised that human psychology shows substantial cross-cultural variation. Second, a focus on cultural transmission pathways, drawing on cultural evolution models and empirical research, can help to explain to the maintenance of, and potential changes in, cultural variation in psychological processes. Evidence from migrants, in particular, points to a mix of vertical, oblique and horizontal cultural transmission that can explain the differential stability of different cultural dimensions. Third, cultural evolutionary methods offer powerful means of testing historical (“macro-evolutionary”) hypotheses put forward by cultural psychologists for the origin of psychological differences. Explanations in terms of means of subsistence, rates of environmental change or pathogen prevalence can be tested using quantitative models and phylogenetic analyses that can be used to reconstruct cultural lineages. Evolutionary considerations also point to potential problems with current cross-country comparisons conducted within cultural psychology, such as the non-independence of data points due to shared cultural history. Finally, I argue that cultural psychology can play a central role in a synthetic evolutionary science of culture, providing valuable links between individual-oriented disciplines such as experimental psychology and neuroscience on the one hand, and society-oriented disciplines such as anthropology, history and sociology on the other, all within an evolutionary framework that provides links to the biological sciences.

scholarly journals Digital culture

2021 ◽  
Author(s):  
Alberto Acerbi
Keyword(s):  
Digital Media ◽  
Cultural Evolution ◽  
Cultural Transmission ◽  
Past Research ◽  
Digital Culture ◽  
Cultural Dynamics ◽  
Cumulative Culture ◽  
Future Directions

Cultural evolution can provide a useful framework to understand how information is produced, transmitted, and selected in contemporary online, digital, media. The diffusion of digital technologies triggered a radical departure from previous modalities of cultural transmission but, at the same time, general characteristics of human cultural evolution and cognition influence these developments. In this chapter, I will explore some areas where the links between cultural evolution research and digital media seem more promising. As cultural evolution-inspired research on internet phenomena is still in its infancy, these areas represent suggestions and links with works in other disciplines more than reviews of past research in cultural evolution. These include topics such as how to characterise the online effects of social influence and the spread of information; the possibility that digital, online, media could enhance cumulative culture; and the differences between online and offline cultural transmission. In the last section I will consider other possible future directions: the influences of different affordances in different media supporting cultural transmission; the role of producers of cultural traits; and, finally, some considerations on the effects on cultural dynamics of algorithms selecting information.

scholarly journals From storytelling to Facebook. Content biases when retelling or sharing a story

2021 ◽  
Author(s):  
Alberto Acerbi
Keyword(s):  
Social Network ◽  
Cultural Evolution ◽  
Cultural Transmission ◽  
Specific Content ◽  
Oral Storytelling ◽  
Oral Transmission ◽  
Related Information ◽  
Transmission Chain ◽  
Set Up ◽  
Content Information

Cultural evolution researchers use transmission chain experiments to investigate which content is more likely to survive when transmitted from one individual to another. These experiments resemble oral storytelling, where individuals need to understand, memorise, and reproduce the content. However, prominent contemporary forms of cultural transmission—think an online sharing— only involve the willingness to transmit the content. Here I present two fully preregistered online experiments that explicitly investigated the differences between these two modalities of transmission. The first experiment (N=1080) examined whether negative content, information eliciting disgust, and threat-related information were better transmitted than their neutral counterpart in a traditional transmission chain set-up. The second experiment (N=1200), used the same material, but participants were asked whether they would share or not the content in two conditions: in a large anonymous social network, or with their friends, in their favourite social network. Negative content was both better transmitted in transmission chain experiments and shared more than its neutral counterpart. Threat-related information was successful in transmission chain experiments but not when sharing, and, finally, information eliciting disgust was not advantaged in either. Overall, the results present a composite picture, suggesting that the interactions between the specific content and the medium of transmission are important and, possibly, that content biases are stronger when memorisation and reproduction are involved in the transmission—like in oral transmission—than when they are not—like in online sharing.

Modeling Social Learning and Culture

2013 ◽  
Author(s):  
William Hoppitt ◽  
Kevin N. Laland
Keyword(s):  
Social Learning ◽  
Cultural Evolution ◽  
Cultural Transmission ◽  
Model Building ◽  
Biological Evolution ◽  
Reaction Diffusion ◽  
Agent Based ◽  
Mathematical Expressions ◽  
Mathematical Techniques ◽  
Neutral Models

This chapter describes a variety of approaches to modeling social learning, cultural evolution, and gene-culture coevolution. The model-building exercise typically starts with a set of assumptions about the key processes to be explored, along with the nature of their relations. These assumptions are then translated into the mathematical expressions that constitute the model. The operation of the model is then investigated, normally using a combination of analytical mathematical techniques and simulation, to determine relevant outcomes, such as the equilibrium states or patterns of change over time. The chapter presents examples of the modeling of cultural transmission and considers parallels between cultural and biological evolution. It then discusses theoretical approaches to social learning and cultural evolution, including population-genetic style models of cultural evolution and gene-culture coevolution, neutral models and random copying, social foraging theory, spatially explicit models, reaction-diffusion models, agent-based models, and phylogenetic models.

Popularity

2019 ◽  
pp. 71-95
Author(s):  
Alberto Acerbi
Keyword(s):  
Social Media ◽  
Social Influence ◽  
Real Time ◽  
Cultural Evolution ◽  
Digital Technologies ◽  
Evolution Theory ◽  
Consumer Reviews ◽  
Individual Level ◽  
Cultural Evolution Theory

The tendency to copy the majority is the topic of the fourth chapter. The fact that online popularity produces long-tailed distributions is often presented as an argument to show the power of online social influence. However, long-tailed distributions are a trademark of many cultural domains, from first names to dog breeds. In addition, these distributions do not necessarily imply the existence of an individual-level tendency to prefer popular things, but they can be the result of bare availability: the more examples of an item, the more likely we will encounter it, and the more likely we will become interested in it. Conformity is next considered: as defined in cultural evolution, conformity implies an effective tendency to copy the majority. As for celebrities, various experiments are reviewed, and the author defends a view for which conformity is far from automatic, as it interacts with many other psychological tendencies. How digital technologies permit radically new forms of popularity advertisements, from the real-time quantification of “likes” in social media to the explosion of consumer reviews, or top-lists of virtually everything, is also examined and discussed in relation to cultural evolution theory.

scholarly journals Hunter-gatherer multilevel sociality accelerates cumulative cultural evolution

2020 ◽  
Vol 6 (9) ◽  
pp. eaax5913 ◽  
Author(s):  
Andrea B. Migliano ◽  
Federico Battiston ◽  
Sylvain Viguier ◽  
Abigail E. Page ◽  
Mark Dyble ◽  
...  
Keyword(s):  
Cultural Evolution ◽  
Cultural Transmission ◽  
Homo Sapiens ◽  
Hunter Gatherers ◽  
Kinship Networks ◽  
Sensing Technology ◽  
Cultural Differentiation ◽  
Universal Feature ◽  
Functional Relevance ◽  
Cumulative Cultural Evolution

Although multilevel sociality is a universal feature of human social organization, its functional relevance remains unclear. Here, we investigated the effect of multilevel sociality on cumulative cultural evolution by using wireless sensing technology to map inter- and intraband social networks among Agta hunter-gatherers. By simulating the accumulation of cultural innovations over the real Agta multicamp networks, we demonstrate that multilevel sociality accelerates cultural differentiation and cumulative cultural evolution. Our results suggest that hunter-gatherer social structures [based on (i) clustering of families within camps and camps within regions, (ii) cultural transmission within kinship networks, and (iii) high intercamp mobility] may have allowed past and present hunter-gatherers to maintain cumulative cultural adaptation despite low population density, a feature that may have been critical in facilitating the global expansion of Homo sapiens.

scholarly journals Language As a Memory Carrier Of Perceptually-Based Knowledge. Selected Aspects Of Imagery In Chaucer’s Knight’s Tale And Troilus And Criseyde

2015 ◽  
Vol 41 (1) ◽  
pp. 127-141
Author(s):  
Katarzyna Stadnik
Keyword(s):  
Cultural Evolution ◽  
Cultural Transmission ◽  
Human Interaction ◽  
Present Moment ◽  
Human Knowledge ◽  
Troilus And Criseyde ◽  
Language And Culture ◽  
The Past ◽  
Cumulative Cultural Evolution

AbstractIn the paper, we address the question of the relation between language and culture from a Cognitive Linguistic perspective. While accounting for the role of language as an aid to cultural transmission in maintaining the community’s conceptual order, we address the question of whether the concept of a linguistic worldview aptly captures the interplay between language and culture. We suggest that, due to cumulative cultural evolution spurred by the incessant development of human knowledge, layers of conceptualisations accumulate over time. It is proposed that this palimpsest of conceptualisations results from human interaction that transcends the constraints of the present moment, encompassing the past and present, as well as delineating possible developments of the community’s future conceptual order.

Cultural Transmission and Stochastic Network Growth

2003 ◽  
Vol 68 (3) ◽  
pp. 459-485 ◽  
Author(s):  
R. Alexander Bentley ◽  
Stephen J. Shennan
Keyword(s):  
Cultural Evolution ◽  
Cultural Transmission ◽  
Transmission Model ◽  
Stochastic Network ◽  
Network Growth ◽  
Variant Frequency ◽  
Length Variant ◽  
The Difference ◽  
Log Normal ◽  
Independent Decision

Archaeological theory has traditionally presupposed the existence of “battleship curves” in stylistic evolution, with little understanding about what governs the width (variant frequency) or length (variant lifespan) of these curves. In terms of these variables, we propose that there is a testable difference between independent decisions, unbiased transmission, and biased transmission in cultural evolution. We expect independent decision making to be represented by an exponential distribution of variant prevalence in the population. In contrast, unbiased transmission tends to be characterized by a power law or log-normal distribution of prevalence, while biased transmission should deviate significantly from the unbiased case. The difference between these categories may be fundamental to how cultural traits spread and persist. In order to make analytical predictions for unbiased transmission, we adapt a model of stochastic network growth that, by quantitatively demonstrating the inherent nonlinearity in unbiased transmission, can explain why a few highly popular styles can be expected to emerge in the course of cultural evolution. For the most part, this model predicts the frequencies of pottery decorations remarkably well over a 400-year span of Linearbandkeramik settlement in the Merzbach valley. Because the highest frequencies of actual motifs are somewhat less than predicted by our unbiased transmission model, we identify an anti-conformist, or pro-novelty, bias in the later phases of the Neolithic Merzbach Valley.

Cultural evolution: Anthropology and cultural transmission

Nature ◽  
1983 ◽  
Vol 304 (5922) ◽  
pp. 124-124 ◽  
Author(s):  
L. Cavalli-Sforza ◽  
M. Feldman ◽  
S. Dornbusch ◽  
K.-H. Chen
Keyword(s):  
Cultural Evolution ◽  
Cultural Transmission
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