INFORMATION DISSEMINATION CRISIS AND COLLABORATIVE CO GOVERNANCE MODEL OF ALGORITHMIC RECOMMENDATION IN CHINA

Authors

  • Jieru Zhang Law school,Guangzhou college of applied science and technology,Guangzhou,China,526000
  • Xiaowen Zhong Law school, Southwest University of Political Science and Law,Chongqing,China,401120

Keywords:

algorithmic recommendation, technical attribute, value loaded attribute, information dissemination crisis, collaborative governance model

Abstract

While algorithmic recommendation is a new technology being able to collect,filter, and recommend information, this technology has not only the technical attribute which considers the technology asatoolto improve social efficiency,butalso the value loaded attribute since itincludes the ability ofvaluejudgement.The dual attributescouldintensify thesplitofgeneral social valueandthendifferent isolatedcommunitiesare created, leading to the growth of group polarization and the riskofinformationmanipulationanddisruptingthe ecosystem of information dissemination.Toget rid of these negative effectsbrought byalgorithmic recommendation,Chinashouldattach importance tobuilda model of joint governance mainly by the effortsfromthree subjects,including the intelligent media platformswho should strengthentheirsocial responsibilities andpromotetheir self-regulation; thegovernmentwho shouldstrengthen regulation on algorithm and improve a more comprehensivelegal frameworkof it;and theuserswho should begiven the right to require the interpretation of how algorithms work and participate in algorithm governance as theco-rulers.

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Published

2023-04-28

How to Cite

Zhang, J., & Zhong, X. (2023). INFORMATION DISSEMINATION CRISIS AND COLLABORATIVE CO GOVERNANCE MODEL OF ALGORITHMIC RECOMMENDATION IN CHINA. Proceedings of International Conference on Intelligent Systems and New Applications, 1, 9–13. Retrieved from https://proceedings.icisna.org/conf/index.php/ICISNA/article/view/84