This study analyzes contemporary Russian social media slang based on publicly available findings from research conducted by LiveDune in collaboration with teams from St. Petersburg State University and Southern Federal University. That research analyzed over 64 million comments and 342 slang terms across five social media platforms. Rather than collecting and analyzing the raw data directly, this study reinterprets the published findings from linguistic and cognitive-linguistic perspectives within the context of digital communication organized by algorithms. Specifically, it examines platform-specific slang usage, English loanwords, linguistic economy, and semantic compression, while distinguishing between human linguistic choices and algorithmic mechanisms. Based on this analysis, the study defines slang functioning in a digital environment where visibility and distributability are influenced by content selection, ranking, and recommendations as “algorithmic slang.” This definition does not imply that slang is generated by algorithms or artificial intelligence; the agents of linguistic innovation and choice remain human. Furthermore, the study considers slang as a potential linguistic mechanism for cognitive adaptation to the digital communication environment and reviews the institutional and legal frameworks governing algorithmic infrastructure through a comparative analysis of platform regulation in the United States, the European Union, and Russia. In conclusion, the study suggests that the interaction between human linguistic behavior and algorithmically organized communication environments constitutes a research area requiring future empirical validation.