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Esports presents a puzzle that has driven the formation of an entire academic subfield: how can a competitive activity that looks like sport be owned by private corporations, played on proprietary platforms, and watched by millions through streaming services? Early researchers approached esports as a subculture, but as the industry grew, new questions about labor, legitimacy, audience behavior, platform power, health, and governance demanded new analytical tools. The result is a sequence of eight frameworks that have shaped esports studies, each responding to gaps or tensions left by its predecessors.
The earliest framework, Grassroots and Niche Esports (1997–2007), emerged when scholars first noticed competitive gaming as a distinct social phenomenon. Researchers documented LAN parties, small tournaments, and the subcultural identities of early players. The framework treated esports as a community-driven activity, emphasizing self-organization, shared passion, and resistance to mainstream gaming culture. Its methods were ethnographic and descriptive, capturing a moment when esports was still a niche hobby.
As prize pools grew and players began treating competition as a full-time pursuit, the Grassroots framework became insufficient. The Professionalization and Labor Framework (2000–Present) superseded it by shifting attention from community to career. Scholars now asked how players earned income, what contracts looked like, and what happened to those who burned out. Works such as Raising the Stakes (2012) documented the transition from amateur play to paid labor, revealing precarious working conditions and the emergence of team organizations. This framework did not reject the Grassroots view but absorbed its insights into a broader analysis of esports as a labor market. Today, the Professionalization framework remains active, especially in studies of player welfare, unionization, and the gig economy aspects of competitive gaming.
By the early 2010s, esports had attracted mainstream investment and media coverage. The Sportification and Institutional Legitimacy framework (2012–Present) argued that esports was undergoing a process similar to the sportification of other activities: adopting standardized rules, governing bodies, and seeking recognition from traditional sports institutions. Scholars in this tradition compared esports to football or basketball, emphasizing the pursuit of legitimacy through formalization. The framework’s strength was its ability to explain why esports organizations mimicked sport structures—leagues, drafts, anti-doping policies—even when those structures seemed ill-suited to digital games.
But a rival perspective soon emerged. The Publisher-Platform Ecosystem Framework (2019–Present) reacted directly against the Sportification framework’s core assumption. Its proponents argued that esports cannot be understood as sport because the game publisher (Riot, Valve, Blizzard) retains ultimate control over the rules, data, and even the existence of the competitive scene. Unlike traditional sports, where a neutral federation governs the sport, esports operates within a platform ecosystem where the publisher can change the game overnight or shut down a league. This framework draws on information systems and platform studies to highlight the power asymmetry between players, organizers, and corporate owners. The disagreement between Sportification and Publisher-Platform is not a minor nuance; it is the central theoretical fault line in esports studies today. Both frameworks remain active, with Sportification dominating policy-oriented research and Publisher-Platform gaining ground in critical media studies.
While the first three frameworks focused on production—players, leagues, platforms—a separate line of inquiry asked why people watch esports. The Spectatorship and Fandom Studies framework (2017–Present) emerged from media and communication research, investigating the motivations, behaviors, and identities of esports audiences. Studies such as “What is eSports and why do people watch it?” (2017) identified drivers like skill appreciation, drama, and social connection. This framework coexists with the Professionalization and Sportification frameworks by examining the demand side of the esports economy. It also overlaps with streaming research, as platforms like Twitch blur the line between playing and watching.
By the late 2010s, the field had become fragmented across disciplines—sports science, media studies, sociology, law, and computer science. The Interdisciplinary Research Mapping framework (2019–Present) emerged not as a substantive theory but as a coordinating meta-framework. Its distinctive contribution is to map the existing research landscape, identify gaps, and propose integrated research agendas. For example, the “Esports matrix” (2019) categorized studies by theme and method, helping scholars see connections between labor, health, and governance. This framework does not claim to explain esports itself; instead, it provides infrastructure for the field to grow coherently. It is best understood as a response to the fragmentation that resulted from earlier frameworks developing in isolation.
The Health and Performance Science Integration framework (2020–Present) applies sports science methods to esports players, studying physical strain, cognitive load, sleep, and mental health. It extends the Professionalization framework’s concern with player welfare into empirical, intervention-oriented research. Where the labor framework documented burnout through interviews, the health framework measures cortisol levels and recommends ergonomic setups. This framework also connects to governance, as player health becomes a regulatory issue.
The newest framework, Governance and Integrity Studies (2021–Present), addresses the regulatory vacuum in a platform-owned global activity. It draws on both the Publisher-Platform framework (to understand who holds power) and the Professionalization framework (to understand what protections players need). Topics include anti-doping, match-fixing, age restrictions, and dispute resolution. This framework is still forming, but it represents the field’s response to the practical challenges of governing a decentralized, corporate-controlled ecosystem.
Today, the leading frameworks are Professionalization and Labor, Sportification and Institutional Legitimacy, Publisher-Platform Ecosystem, Spectatorship and Fandom, and Governance and Integrity. They coexist with a clear division of labor: Professionalization dominates labor studies, Sportification guides policy comparisons, Publisher-Platform leads critical platform analysis, Spectatorship covers audience research, and Governance tackles regulation. The Interdisciplinary Research Mapping framework continues to coordinate, while Health and Performance Science Integration grows rapidly as esports teams hire sports scientists.
What these frameworks agree on is that esports is a legitimate and complex object of study requiring multiple disciplinary lenses. Where they disagree most sharply is on the sportification-versus-platform question: is esports becoming more like traditional sport, or is its platform-dependent nature a fundamental difference? This disagreement shapes everything from how scholars define their object (as a sport, a media product, or a labor market) to what policy recommendations they make. The tension is unlikely to be resolved; instead, it drives the field forward, forcing each framework to clarify its assumptions and engage with its rivals.