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Grounded in political philosophy, this paper evaluates how content recommendation algorithms systematically undermine the equality of opportunity for political influence (EOPI) by hyper-concentrating distribution among elite voices. The author demonstrates that while digital platforms preserve the formal right to speech, unequal algorithmic amplification imposes informal power asymmetries that disenfranchise ordinary democratic participants. To resolve this structural distortion, the paper outlines "recommendation floors"—an algorithmic governance mechanism guaranteeing verified users a baseline distribution quota for a capped number of political posts per week.
Recommender systems break democratic equality not by censoring speech, but by starving non-elites of reach—a market distortion that can be systematically rebalanced using guaranteed baseline exposure floors.
Within democracies, the capacity to influence political outcomes through speech depends not only on the right to express oneself, but also on the opportunity to reach relevant audiences. In this paper, I argue that the unequal distribution of algorithmic reach on social media platforms undermines equality of opportunity for political influence (EOPI), which is a central democratic ideal. Drawing on Niko Kolodny’s work, I contend that current recommendation algorithms create and perpetuate informal inequalities by concentrating attention among a small minority of already-amplified speakers while systematically marginalizing others. To address this problem, I propose recommendation floors as a mechanism for equalizing political speech. To help users achieve meaningful participation, each verified account would receive guaranteed minimum recommendation for up to a limited number of political posts per week. Although this measure represents one component of the structural reforms needed to move the digital public sphere closer to democratic ideals, it offers a feasible pathway to reducing informal inequalities in political influence online.