基于多主体的UGC监管仿真研究

Multi-agent Simulation on UGC Regulation

本文在区别网络UGC相关主体行为特征和主要关系的基础上，通过多主体建模和计算实验，模拟了互联网UGC及其监管过程，对不同的监管策略的效果做了仿真研究。本文发现影响UGC生态的根本因素是用户群体的心理偏好与生产能力；网站自我监管廿丁以平衡收益与监管需求；政府的清理整顿行动对全局信息质量的持续提高作用不大，但会显著降低UGC的规模和积极性；带有政策反馈的监管模式是令参与各方都满意的理想机制，需要完善相关的信息沟通和政策评价渠道。

By distinguishing the behavior patterns of and the relationships among the agents, this paper simulates the UGC process as well as the effectiveness of different regulation strategies. This study has found that users＇ mental preference and the capability of information producing is the fundamental factor influencing UGC; the self-discipline of websites can balance the income and regulation tasks; the regulation campaign launched by the government doesn＇t help much to improve the global information quality but can harm the scale and positivity of UGC; the regulation with policy feedback can moderate the pursuits of different agents, which calls for improving the information sharing and policy evaluation conduits.