Competition Dynamics in the Meme Ecosystem

Author:

Ford Trenton W.1ORCID,Krohn Rachel2ORCID,Weninger Tim3ORCID

Affiliation:

1. College of William and Mary, USA

2. Rose-Hulman Institute of Technology, USA

3. University of Notre Dame, USA

Abstract

Creating and sharing memes is a common modality of online social interaction. Because of the prevalence of memes, an abundance of research focuses on understanding how memes are shared and perceived within their online social environment and in what ways they differ from other modalities of online communication. In the present work, we present findings that suggest a relationship between how memes are introduced, shared, and diminish in online social systems and the behavior of biological species within an ecosystem. Framed by this perspective, we borrow ecological methodologies and concepts like resource availability, speciation, and competition to study human attention, creativity, and sharing dynamics (respectively) over a large collection of memes shared on Reddit. Specifically, we find that the population of memes has scaled almost exactly with the total amount of content created over the past decade. We find a consequence of limited human attention in the face of a growing number of memes is that the diversity of memes has decreased at the community level, albeit slightly, in the same period. A further consequence is that the average life span of memes has decreased dramatically, which is further evidence of an increase in competition and a decrease in a meme species’ primary resource: human attention. From this work, we have found reasonable preliminary support for linking memes to species and, thus, meme research to ecological research. We believe that future research should work to strengthen this relationship and transfer more methodologies to meme and information research from ecology.

Funder

Defense Advanced Research Projects Agency

Publisher

Association for Computing Machinery (ACM)

Subject

General Medicine

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3. Jim Blythe John Bollenbacher Di Huang Pik-Mai Hui Rachel Krohn Diogo Pacheco Goran Muric et al. 2019. Massive multi-agent data-driven simulations of the GitHub ecosystem. In Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection . Lecture Notes in Artificial Intelligence Vol. 11523. Springer 3–15.

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