AIGC对传播学定量研究的意义

The Significance of AIGC in Quantitative Research in Communication Studies

人工智能内容生产对于学术研究产生了巨大的影响力,从生产力的角度重塑了学术研究的范式。本文通过分析AIGC(人工智能生成内容)对传播学定量研究的影响,探寻其对于文献综述、数据收集处理和数据分析的意义。结果表明,AIGC在以上三个环节当中都能起到不同程度的功能性作用,但仍然存在一定的机器局限性,主要表现为在功能性方面有待提升,在思辨性方面不尽如人意。研究强调了人类独有思辨思维的不可替代性,并针对基于机器固定算法的主观生成提出质疑,认为这种方式可能破坏社会科学研究的客观性质。

The production of content by artificial intelligence has wielded significant influence on academic research,reshaping the paradigms of scholarly inquiry from a productivity standpoint.This article examines the impact of Artificial Intelligence Generated Content(AIGC) on quantitative research in communication studies,exploring its significance in literature review,data collection and processing,and data analysis.The findings indicate that AIGC can play functional roles to varying degrees across these three stages,yet it is not without its machine limitations.These limitations are primarily evident in the need for enhancement in functionality and the unsatisfactory performance in speculative thinking.The study underscores the irreplaceable nature of human speculative thought and raises concerns over subjective generation based on fixed machine algorithms,suggesting that such methods could undermine the objectivity inherent in social science research.