Replication Data for: Readers’ perception of computer-generated news: Credibility, expertise, and readability

We conducted an online experiment to study people’s perception of automated computer-written news. Using a 2 2 2 design, we varied the article topic (sports, finance; within-subjects) and both the articles’ actual and declared source (human written, computer written; between-subjects). Nine hundred eighty-six subjects rated two articles on credibility, readability, and journalistic expertise. Varying the declared source had small but consistent effects: subjects rated articles declared as human written always more favorably, regardless of the actual source. Varying the actual source had larger effects: subjects rated computer-written articles as more credible and higher in journalistic expertise but less readable. Across topics, subjects’ perceptions did not differ. The results provide conservative estimates for the favorability of computer-written news, which will further increase over time and endorse prior calls for establishing ethics of computer-written news.本研究开展一项线上实验，以探究大众对自动化计算机撰写新闻（computer-written news）的认知与评价。本实验采用2×2×2实验设计，实验操控的变量涵盖文章主题（体育、财经，采用被试内设计）以及文章的真实来源与声明来源（人类撰写、计算机撰写，采用被试间设计）。共计986名被试针对两篇文章，从可信度、可读性与新闻专业水准三个维度完成评分。调整声明来源仅产生微弱但一致的影响：无论文章的真实来源为何，被试对声明为人类撰写的文章评价始终更为积极。而调整真实来源的影响则更为显著：被试认为计算机撰写的文章可信度更高、新闻专业水准更强，但可读性相对更差。不同主题维度下，被试的评价并未呈现显著差异。本研究结果为计算机撰写新闻的受众好感度提供了保守估计——该好感度将随时间推移进一步提升，同时佐证了此前呼吁建立计算机撰写新闻伦理规范的必要性。

搜集汇总

背景与挑战

背景概述

该数据集是一项关于读者对计算机生成新闻感知的在线实验的复制数据，发布于2016年。实验涉及986名参与者，通过2x2x2设计研究了文章主题和来源对可信度、专业性和可读性的影响。关键发现包括：声明为人类撰写的文章评分更高，而计算机撰写的文章被认为更可信和专业但可读性较差，主题差异无显著影响。