Prompt Description

Algorithmic bias impact: 1. Causal Path Analysis: (1) Reveals the systemic biases inherent in algorithmic decision-making and their directional impact on outcomes. (2) Establishes the causal chain from input data to output performance, clarifying the direction of influence. 2. Diversity of choice: (1) The range of content users can choose from is limited by algorithmic recommendations, leading to a narrowing of information. (2) Reduced diversity weakens the quality of individual decision-making, indirectly affecting overall performance. (3) As a mediating variable, the transmission of algorithmic bias has negative effects on fairness and efficiency. 3. Market structure effect: (1) Algorithm preferences reinforce top-heavy concentration, worsening unequal resource distribution on the platform. (2) Structural monopolies suppress innovation incentives and reduce long-term competitive performance. (3) The intermediary moderates the intensity of bias transmission, reflecting the moderating role of the institution.