Analysis and Countermeasures of digital labor alienation based on clustering extraction algorithm

Abstract

Aiming at the problem of moving target extraction, a target adaptive clustering extraction algorithm is proposed. Based on the perspective of digital labor alienation theory, on the basis of fully absorbing the existing research results, combined with the clustering extraction algorithm, this paper puts forward the analysis and Countermeasures of digital labor alienation based on clustering extraction algorithm. From the perspective of alienation, the alienation of digital labor profoundly affects everyone's life, resulting in ideological invasion, digital capital hegemony and digital fetishism. However, under the existing social production relations, we must weigh the advantages and disadvantages brought by digital labor, rationally look at the relationship between human liberation and labor alienation, and better develop digital labor and digital economy from the perspective of improving productivity.