Memes Online: Extracted, Subtracted, Injected, and Recollected


  • Matthew Simmons University of Michigan
  • Lada Adamic Universiry of Michigan
  • Eytan Adar University of Michigan



Social media is playing an increasingly vital role in information dissemination. But with dissemination being more distributed, content often makes multiple hops, and consequently has opportunity to change. In this paper we focus on content that should be changing the least, namely quoted text. We find changes to be frequent, with their likelihood depending on the authority of the copied source and the type of site that is copying. We uncover patterns in the rate of appearance of new variants, their length, and popularity, and develop a simple model that is able to capture them. These patterns are distinct from ones produced when all copies are made from the same source, suggesting that information is evolving as it is being processed collectively in online social media.




How to Cite

Simmons, M., Adamic, L., & Adar, E. (2021). Memes Online: Extracted, Subtracted, Injected, and Recollected. Proceedings of the International AAAI Conference on Web and Social Media, 5(1), 353-360.