Abstract

Based on the Modality-Agency-Interactivity-Navigability model and the anthropomorphism theory, this study examines whether embedding human-like characteristics in algorithms increases the persuasiveness of algorithm-written news. This study further investigates how different types of relationships (servant or friend) that human writers form with algorithms determine the persuasiveness of algorithm-generated news. Experiment 1 demonstrated that participants who read the human- and humanized algorithm-written news showed greater emotional involvement in the stories and liked the articles more than those who read the algorithm-written news. The participants also reported that news written by humans, humanized algorithms, and algorithms, had equal news credibility. Experiment 2 further showed that the participants perceived the news as more credible and experienced greater degrees of emotional involvement when human writers formed a partner-to-friend relationship with humanized algorithms while generating news rather than a servant-to-master relationship.

摘要

本研究基于模态-代理-交互-导航模型和拟人化理论，检验在算法中嵌入类人特征是否会增加算法编写的新闻的说服力。这项研究进一步调查了人类作家与算法形成的不同类型的关系（仆人或朋友）如何决定算法生成新闻的说服力。实验 1 表明，阅读人工和人性化算法编写的新闻的参与者比阅读算法编写的新闻的参与者表现出更多的情感投入，并且更喜欢这些文章。与会者还报告说，人写的新闻、人性化的算法和算法，具有同等的新闻可信度。