算法时代网络意识形态风险防范与实践逻辑

算法推荐是一种全新的信息资源配置方式和高效的信息分发模式,已广泛应用于网络信息传播中。其通过信息精准“投喂”,提高了用户信息获取效率,同时也带来“过滤气泡”“信息茧房”“回音室效应”等,给网络意识形态安全带来风险和挑战。主要表现在,“算法牢笼”阻碍社会共识生成,“算法偏见”消解主流话语权力,“算法黑箱”引发公众信任危机,“资本逻辑”支配算法价值导向。分析认为,用户算法依赖、算法权力控制、多元资本渗透和算法场域应用等是算法推荐影响网络意识形态安全的主要因素,规避和化解算法推荐给网络意识形态安全带来的风险挑战,要深刻把握算法特征和规律,持续优化算法、用好算法、驾驭算法、规训算法。

Risk Prevention and Practical Logic of Network Ideology in Algorithm Era

As a new way of information resource allocation and efficient information distribution mode, algorithm recommendation has been widely used in network information dissemination. Through accurate "feeding" of information, it improves the efficiency of user information acquisition, but also brings "filtering bubbles", "information cocoon", "echo room" and other effects, which brings risks and challenges to network ideology security. The main performance is that "algorithm cage" hinders the generation of social consensus, "algorithm prejudice" dispels mainstream discourse power, "algorithm black box" causes public trust crisis, and "capital logic" dominates algorithm value orientation. The analysis shows that user algorithm dependence, algorithm power control, multi-capital penetration and algorithm field application are the main factors affecting network ideological security. To avoid and resolve the risk challenges brought by algorithm recommendation to network ideology security, it is necessary to deeply grasp the characteristics and laws of algorithm, continuously optimize it, make good use of it, control it and discipline it.