摘要
大数据技术背景下的传播是利用数据和算法缔造的一种组织化传播,在其一系列转型的背后蕴藏着深层次的异化风险。首先,传播本体的数据化和智能化导致人在传播中的主体性原则被消解,产生主体焦虑。其次,传播方法整体发生量化转型,算法传播产生三大异化风险,分别是算法歧视、算法透明度问题和传播"仿真"问题。再次,大数据传播价值观向商业价值观的转变,带来的异化风险表现为大数据资本操纵传播,创造数据资本的传播劳动亦产生异化。
Communication in the context of big data technology is a sort of organized communication which is promoted by data and algorithms. This article finds that there are different level risks of alienation implied in the transformation. First,with the digitized and intelligentized of communication ontology,the main body loses its principle of subjectivity,and cause the main body＇s anxiety. Second,the method of communication has a digitized transformation with three major risks of alienation when algorithm used： Algorithmic discrimination,untransparent algorithm and ＂simulating＂communication. Third,the values of big data communication are being replaced by business values which lead to risks of alienation embody that the capital manipulate the communication,therefore the communication is getting to be alienate from the before.
出处
《南京社会科学》
CSSCI
北大核心
2018年第6期118-124,共7页
Nanjing Journal of Social Sciences
基金
国家社科基金一般项目"社交网络舆论的风险生成机制与防控体系研究"(17BXW070)的阶段性成果
关键词
大数据技术
传播
算法
异化
风险
context of big data technology
communication
algorithm
alienation
risk
