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Analysis of Social Media Algorithm Recommendation System

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  • Jincheng Xu

    (The University of Melbourne)

Abstract

Once, the Internet was considered an important force to promote social public welfare activities and spread social justice. Today, the driving force of the Internet on the spread of negative social information and polarisation also exists. Social media platforms use this kind of method to customise personalised content distribution schemes by mining and analysing individual historical behaviour data based on algorithms. This behaviour of the platform brings about efficient and accurate information matching. At the same time, the content recommended by the algorithm is also controversial due to the risk of privacy violations and other issues. This article will analyse the advantages and disadvantages of social media platform algorithms and recommendation systems for citizens.

Suggested Citation

  • Jincheng Xu, 2022. "Analysis of Social Media Algorithm Recommendation System," Studies in Social Science & Humanities, Paradigm Academic Press, vol. 1(3), pages 57-63, October.
    • Handle: RePEc:bdz:ssosch:v:1:y:2022:i:3:p:57-63
    DOI: 10.56397/SSSH.2022.10.06
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