General Exploitation Theory

General Exploitation Theory (GET), a newly proposed integrative framework published in Frontiers in Psychology by researcher Norbert Meskó, aims to unify decades of fragmented academic research on human exploitation spanning psychology, economics, philosophy, and the social sciences. For generations, scholarly inquiry into exploitation has remained divided. Psychological traditions typically concentrate on individual personality traits such as the Dark Triad or low Honesty–Humility, while economic and political frameworks focus heavily on structural power imbalances, resource dependencies, and systemic institutional design. Meanwhile, philosophical traditions grapple primarily with the normative boundaries of fair exchange and coercion. GET steps into this theoretical vacuum by offering a systematic architecture that explicitly decouples the conceptual definition of exploitation from the causal mechanisms that govern its occurrence.

Core Conceptual Framework and Definitions

At the heart of the new model is a minimal, strictly relational definition of exploitation. According to GET, exploitation occurs when an actor seeks or obtains a personal benefit by leveraging a specific feature of another party’s relational position to secure what the theory terms a "position-dependent advantage." Crucially, this advantage represents an incremental benefit that would be diminished or entirely unavailable in a comparable interaction where the underlying contribution or resource remained identical, but the enabling positional feature—such as an information asymmetry, high cost of resistance, or severe lack of alternatives—was neutralized.

By utilizing a counterfactual benchmark rather than relying on an idealized universal standard of fairness, GET provides researchers with a rigorous tool for distinguishing ordinary competition, cooperation, and exchange from genuine exploitation. The theory explicitly establishes that an unequal outcome, power asymmetry, or transaction dependency does not automatically constitute exploitation. Instead, these conditions merely shape the objective exploitability of a given situation, which must then be filtered through psychological appraisal before resulting in action.

The Causal Architecture and Appraisal Dimensions

To explain how structural conditions translate into behavioral outcomes, GET outlines a sophisticated causal sequence. Objective exploitability—the external features of a relational dynamic that permit a position-dependent advantage—does not directly dictate behavior. Instead, an actor’s response is mediated through exploitation-relevant appraisal, which consists of four analytically distinct dimensions:

1. Expected Actor Benefit: The perceived value or reward the actor anticipates gaining through the transaction.
2. Anticipated Self-Cost: The projected penalties, detection risks, reputational damages, or formal sanctions associated with pursuing the advantage.
3. Perceived Appropriability: The actor’s internal representation of whether the relational environment realistically permits the cost-shifting or resource appropriation.
4. Target-Welfare Weighting: The relative importance assigned by the actor to the expected welfare outcomes of the target, which dynamically shifts the attractiveness of exploitation relative to restraint or alternative actions.

Individual differences, such as reward sensitivity, temporal discounting, and moral disengagement, function primarily as internal calibrators that bias these appraisal dimensions rather than serving as direct causes of exploitation. Concurrently, the surrounding "constraint ecology"—comprising monitoring systems, regulatory oversight, norms, and reputational visibility—operates contextually to modify objective exploitability and expected self-costs.

Contextual Instantiations: From Interpersonal Dynamics to Digital Platforms

While GET establishes a universal causal architecture, its application varies across distinct social domains. In interpersonal settings, exploitability often stems from emotional dependencies, trust, or unequal relationship alternatives. In organizational and institutional environments, exploitability is frequently anchored in hierarchical authority, restricted career mobility, and formal resource control.

In modern digital and platform-mediated economies, the theory finds particularly urgent application. Algorithmic management systems, data aggregation, opaqueness in platform governance, and severe power imbalances between digital intermediaries and gig workers or content creators create massive objective exploitability. By demonstrating how digital affordances amplify information asymmetries and control mechanisms, GET provides a blueprint for understanding modern techno-economic exploitation without needing to invent entirely new psychological models.

Recursive Feedback and Broader Implications

A defining hallmark of GET is its dynamic, recursive systems perspective. Exploitative actions and their subsequent outcomes do not merely conclude an episode; they feed back recursively to alter the entire system. Successful, unsanctioned exploitation can deepen a target’s dependency, erode institutional safeguards, and lower an actor’s perceived self-costs over time. Conversely, effective collective resistance, regulatory intervention, or institutional reform can diminish objective exploitability, recalibrate future appraisals, and transform the constraint ecology.

Supported by funding from the Hungarian Scientific Research Fund (OTKA) and the University of Pécs, the publication of GET marks a significant methodological pivot for behavioral and social scientists. By transforming exploitation research into a falsifiable framework featuring distinct predictions concerning appraisal mediation, functional equivalence, and recursive feedback, GET bridges the historic divide between micro-level psychology and macro-level structural sociology. As empirical testing progresses through longitudinal and experimental designs, the framework promises to offer unprecedented clarity into one of human society’s most enduring and complex challenges.