Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition) ›› 2023, Vol. 25 ›› Issue (5): 7-15.doi: 10.19722/j.cnki.1008-7729.2023.0081

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

  

  1. School of Marxism, China West Normal University, Nanchong 637002, China
  • Received:2023-06-12 Online:2023-10-30 Published:2023-10-30

Abstract: 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.

Key words: algorithmic recommendations, ideology, capital logic, dilemmas, strategies

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