What Is Memetics?

Memetics is a theoretical framework in the study of culture that treats cultural information as a set of replicating units, called memes, subject to evolutionary processes analogous to those governing biological genes. The term "meme" was coined by biologist Richard Dawkins in his 1976 book The Selfish Gene to name the unit of cultural transmission, with examples including musical melodies, catchphrases, technological practices, and religious ideas. Memetics proposes that just as genes propagate by replicating through biological organisms, memes propagate by replicating through human minds and behaviors, and that the same principles of variation, selection, and heredity that drive biological evolution can be applied to explain cultural change.

The framework sits at the intersection of evolutionary biology, cognitive science, and social theory. Its relationship to mainstream cultural studies is contested: some researchers find the gene analogy productive and precise, while others argue that cultural transmission differs too fundamentally from genetic replication for the analogy to carry scientific weight.

The Meme Concept and Replication

A meme, in Dawkins's formulation, is any unit of cultural information that can be copied from one mind to another. For a meme to be a successful replicator, it must exhibit three properties: fidelity (it is copied with sufficient accuracy to preserve its identity), fecundity (it is copied frequently enough to spread), and longevity (copies persist long enough to be copied again). These three criteria parallel the replication conditions that define a biological replicator. Susan Blackmore extended Dawkins's argument in The Meme Machine (1999), proposing that the human capacity for imitation is the specific mechanism through which memes replicate, and that much of human cognitive architecture evolved to support meme transmission. PBS's Evolution series coverage of memetic evolution provides an accessible overview of this replication framework.

Cultural Transmission and Evolution

Memetics applies the logic of natural selection to culture: memes that are easy to remember, emotionally compelling, or practically useful spread further and faster than memes that lack these properties. This selection pressure shapes cultural change over time without requiring any conscious design by individuals or institutions. The memetic approach predicts, for example, that ideas which attach to strong emotions, that fit existing cognitive frameworks, or that carry social signaling benefits will out-compete ideas that lack these properties. Research connecting memetics to cultural evolution is surveyed in a 2021 study in BioSystems that examines memetic approaches alongside competing frameworks such as dual inheritance theory and gene-culture coevolution. Proponents of dual inheritance theory, including anthropologists Robert Boyd and Peter Richerson, accept the importance of cultural transmission but reject the claim that memes are sufficiently gene-like replicators to warrant the direct evolutionary analogy.

Memetics and Genetics

The relationship between memetic and genetic evolution is a central theoretical question in the field. Memes and genes can interact: a culturally transmitted practice such as cooking with fire may create selection pressure on biological traits such as digestive enzyme production, while biological traits such as language capacity enable more complex forms of meme transmission. This co-evolutionary dynamic is the subject of gene-culture coevolution theory, which overlaps with memetics but treats cultural inheritance as operating through a distinct channel from genetic inheritance. Yale legal theorist Jack Balkin has applied memetic concepts to legal and political culture, arguing in his analysis of memetic evolution in cultural theory that ideas propagate through legal and social institutions by mechanisms that closely parallel meme replication.

Applications

Memetics has applications in a range of research and applied fields, including:

• Computational social science models of information diffusion in social networks
• Marketing and communications research on viral content propagation
• Educational psychology studies of concept transmission and curriculum design
• Evolutionary epistemology and the study of how scientific ideas spread and are replaced
• Artificial intelligence research drawing on evolutionary computation and cultural learning models