人机传播视域下算法新闻可信度的感知研究——基于一项对大学生的控制实验分析  

Analysis on Perceived Credibility of Algorithmic News From Perspective of the Human-Machine Communication ——Based on a control experiment on College Students

作　　者：蒋忠波 师雪梅 张宏博 JIANG Zhongbo;SHI Xuemei;ZHANG Hongbo(School of Literature and Journalism,Sichuan University;School of Journalism and Communication,China West Normal University)

机构地区：[1]四川大学文学与新闻学院 [2]西华师范大学新闻传播学院

出　　处：《国际新闻界》2022年第3期34-52,共19页Chinese Journal of Journalism & Communication

基　　金：教育部人文社科规划基金项目“智能传播中人机交互的过程、用户感知与心理效应研究”(项目编号21YJA860006)的阶段性研究成果。

摘　　要：本文在人机传播的视域下,采用控制实验法,通过比较的方式探讨了受试者对算法新闻可信度的感知。研究发现:受试者对署名作者为算法的新闻可信度的感知值要显著高于署名为人类记者的新闻可信度的感知值,这种差异集中体现在受试者对不同署名新闻所含的“偏见”的感知上;期望确证理论不能解释这一差异,因为实验中受试者对算法新闻的期待值更高而非更低;相对于单独署名为人类记者的新闻而言,人机共同署名并不能有效提升受试者对新闻的可信度感知;新闻主题会影响到受试者对新闻可信度的感知,在署名相同的情况下,社会新闻被感知到的可信度更低。最后,本文在人机传播的意义上进行了讨论。The perceived credibility of algorithmic news was investigated from perspective of human machine communication by applying control experiment method. Here were the findings. Firstly, the news attributed to algorithm author were perceived more significantly credible than the news attributed to the human journalist, which was resulted from subjects’ different perception on the bias of the news with different authorship. Secondly, the credibility difference was not explained by Expectation-Confirmation Theory, because the subjects` expectation of algorithmic news was higher. Thirdly, compared with the news attributed to human reporters alone, the news attributed to man-machine co-author can not effectively improve the subjects’ perception of the credibility of the news. Fourth, news topic affected the subjects’ perception of news credibility. When the authors were the same, the perceived credibility of social news was lower. At last, the implication of the findings was discussed in the field of Human-Machine Communication.

关 键 词：人机传播 算法新闻 可信度 智能媒体 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] G210.7[自动化与计算机技术—控制科学与工程]