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Spiral of Silence in an Algorithm-Driven Social Media Content Environment: Conceptual Framework and Research Propositions
KOME ( IF 0.6 ) Pub Date : 2022-01-01 , DOI: 10.17646/kome.75672.86
Hyuk Jun Cheong , Sufyan M. Baksh , Ilwoo Ju

The aim of this conceptual study is to explore the major tenets of the spiral of silence theory (i.e., fear of isolation, willingness to speak out, quasi-statistical sense) within social media environments, where users are predominantly shown content that aligns with their views and interests. In this environment of algorithmic-suggested content, the researchers offer several propositions as to how the spiral of silence tenets operate relative to the perceived anonymity, tie strengths, and the postings suggested by programmed algorithms used by social media platforms. New research directions on spiral of silence theory, social media communication, and opinion polarization are also discussed. Finally, implications for researchers, policymakers, and social media practitioners are addressed.

中文翻译:

算法驱动的社交媒体内容环境中的沉默螺旋:概念框架和研究命题

这项概念性研究的目的是探索社交媒体环境中的螺旋螺旋理论(即害怕孤立、愿意说出来、准统计感)的主要原则,在这些环境中,用户主要看到与他们的内容一致的内容观点和兴趣。在这种算法建议内容的环境中,研究人员提供了几个命题,说明沉默的螺旋原则如何相对于感知的匿名性、联系强度以及社交媒体平台使用的编程算法建议的帖子进行操作。还讨论了关于沉默螺旋理论、社交媒体传播和意见两极分化的新研究方向。最后,解决了对研究人员、政策制定者和社交媒体从业者的影响。
更新日期:2022-01-01
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