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When scholars first turned their attention to the vernacular culture emerging in online forums, chat rooms, and email chains in the 1990s, they faced a puzzle: how do you study folklore that is neither old nor rural, that spreads at unprecedented speed, and that seems to lack the stable community contexts folklorists had long relied on? The answer was not obvious, and the frameworks that developed over the next three decades each redefined what digital folklore is and how it should be studied.
Early Internet Folklore Studies treated online vernacular culture as a collection of texts to be gathered and classified. Scholars applied methods borrowed from earlier folkloristic traditions—motif indexing, type classification, and historical-geographic comparison—to chain letters, virus hoaxes, and early email jokes. The assumption was that digital folklore was essentially traditional folklore in a new medium, and that the same tools could capture its essence. This framework succeeded in legitimizing the study of online vernacular expression within the discipline, but it also stripped away the contexts in which those texts circulated. A chain letter collected from a mailing list was treated as an artifact, not as a performance embedded in a specific community. The evidence pack from the broader folklore literature notes that "lacking context, folklore artifacts would be uninspiring objects without any life of their own"—a critique that would soon be leveled at this early approach.
Two frameworks emerged in response to the limitations of text-centric analysis, each taking a different direction.
Drawing on the performance turn in folkloristics, this framework shifted attention from the text to the event. Scholars argued that digital folklore is not a thing but a doing—a situated performance that gains meaning through interaction within a specific online community. Instead of collecting chain letters, they analyzed how inside jokes evolve on a subreddit, how role-playing games generate shared narratives, or how a community's vernacular is performed in comments and threads. The method became ethnographic: lurking, participating, and attending to the local context. This framework directly challenged the decontextualized taxonomy of Early Internet Folklore Studies by insisting that folklore cannot be understood apart from the group that creates and uses it.
At roughly the same time, a different line of inquiry focused on the iterative, remixable nature of digital content. Memes—image macros, catchphrases, video templates—became the central object of study. Scholars analyzed how variants spread across platforms, how they mutate, and how they encode shared cultural references. This framework operated at a much larger scale than performance studies, often using quantitative methods to track diffusion and variation. The tension between the two frameworks was immediate: performance scholars insisted that meaning is local and cannot be read from a meme's spread alone, while meme scholars argued that the patterns of variation themselves reveal vernacular creativity. The two frameworks coexisted, each illuminating a different dimension of digital folklore—one the situated performance, the other the viral circulation.
Two frameworks now dominate the field, and their relationship is one of productive disagreement.
This framework emerged from the broader critical turn in folkloristics. It asks not just what digital folklore is, but who gets to define it, whose voices are heard, and how power shapes the production and collection of vernacular culture. Scholars using this framework examine their own positionality as researchers, the ethics of scraping or archiving online content, and the ways that marginalized communities use digital folklore to resist or negotiate dominant narratives. The method remains largely ethnographic, but with a reflexive awareness that the researcher is part of the story. This framework absorbed the contextual focus of Performance and Contextual Digital Folklore while adding a critical edge.
Networked Folklore takes a different starting point: the infrastructure that enables digital folklore. Platforms, algorithms, recommendation systems, and non-human actors (bots, filters, moderation tools) are not neutral conduits but active shapers of vernacular expression. A meme does not spread on its own; it spreads because an algorithm promotes it, a platform's design encourages remixing, or a moderation policy suppresses alternatives. Scholars in this framework analyze platform architectures, trace how algorithms curate folklore, and study how networked publics form around shared vernacular content. The method draws on platform studies, data scraping, and network theory. This framework challenges the ethnographic focus of both Performance and Critical/Reflexive frameworks by arguing that the primary unit of analysis should be the infrastructural conditions, not the community.
Critical and Reflexive Digital Folklore and Networked Folklore are the leading frameworks today. They agree on several points: digital folklore is not simply traditional folklore online; it is shaped by technology, power, and the specific conditions of digital environments. They also agree that the field must move beyond collecting texts to analyzing processes. But they disagree sharply on method and focus. Critical/Reflexive scholars prioritize ethnography and self-awareness, arguing that understanding a community's lived experience is essential. Networked scholars prioritize infrastructural analysis, arguing that algorithms and platforms shape folklore in ways that ethnography alone cannot capture. The disagreement is not merely academic—it affects what research questions are asked, what data is collected, and whose perspectives are centered. Some scholars are now attempting to bridge the two approaches, using ethnography to study how communities experience algorithms, or combining platform analysis with close reading of vernacular performances. This tension is likely to define the next phase of the subfield.
From the early days of collecting chain letters as texts to the current debates about algorithms and power, digital folklore studies has undergone a series of reframings. Each framework—Early Internet Folklore Studies, Performance and Contextual Digital Folklore, Memetics and Vernacular Creativity, Critical and Reflexive Digital Folklore, and Networked Folklore—responded to the limitations of its predecessors while opening new questions. The field is now pluralistic, with no single framework claiming dominance. That pluralism reflects the complexity of its subject: vernacular culture in digital spaces is simultaneously textual, performative, viral, political, and infrastructural. Understanding it requires all of these lenses, even when they pull in different directions.