“驾凌”与“驾驭”:算法推荐下的意识形态困局与纾解

“Dominating”and“Dominated”:Ideological Dilemmas and Alleviation in Algorithmic Recommendations

算法推荐技术作为大数据体系发展的必然结果,具有解决信息过载、实现资源高效分配的效用,但在资本逻辑主导下也带来了意识形态的风险困局。算法推荐形成了“信息茧房”、延伸了“全景式监狱”、升格着“沉默的螺旋”现象,并加剧了社会的“娱乐泛化”,造成情感诉求优先的“后真相”出场。这在一定程度上使算法技术“驾凌”于人之上,造成受众认知的狭窄性、思想的偏激性,禁锢意识的自主性并消解着社会的整合性,带来主流意识形态引领乏力、认同窄化、主导失权、凝聚力弱化的困局。纾解困局要推进技术建构与意识形态引领的并驾齐驱,通过技术优化、制度规制、多维把关、素养提升四个途径,实现全社会的多方协动,以道驭技“驾驭”算法,以此推动技术发展与人的发展的良性共进。

As an inevitable result of the development of big data systems,algorithmic recommendation technology has solved information overload and achieved efficient resource allocation.However,under the dominance of capital logic,it has also brought about the risk of ideological dilemmas.Algorithmic recommendations have formed an“information cocoon”,extended the“panoptic prison”,intensified the“spiral of silence”,and exacerbated the“entertainment generalization”of society,leading to the emergence of the priority of emotional appeals in the“post-truth”era.To some extent,this makes the algorithm“dominate”humans,leading to people’s narrow cognition and extremist thinking.It also imprisons self-consciousness and erodes social integration,resulting in dilemmas of weak mainstream ideological leadership,narrowed identification,loss of dominance,and weakened cohesion.To alleviate the dilemmas,it is necessary to promote the coordinated development of technological construction and ideological leadership,and to realize multi-party collaboration in the whole society through four aspects of technical optimization,institutional regulation,multi-dimensional monitoring,and moral improvement.By using technology to serve humanity and promoting the development of both technology and humans,we can jointly move towards a better future.