Readers' perception of computer-generated news: Credibility, expertise, and readability
Readers' perception of computer-generated news: Credibility, expertise, and readability
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DOI：
10.1177/1464884916641269
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发表时间：
2018-05-01
期刊：
影响因子：
2.9
通讯作者：
Brosius, Hans-Bernd
中科院分区：
文献类型：
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作者：
Graefe, Andreas;Haim, Mario;Brosius, Hans-Bernd
我们进行了一项在线实验，研究人们对自动化计算机撰写新闻的看法。使用2x2 x2设计，我们改变了文章主题（体育，金融;主题内）以及文章的实际和声明来源（人类写作，计算机写作;主题间）。986名受试者对两篇文章的可信度、可读性和新闻专业知识进行了评分。改变声明的来源有很小但一致的影响：无论实际来源如何，受试者对声明为人类撰写的文章的评价总是更有利。改变实际来源有更大的影响：受试者认为电脑撰写的文章更可信，新闻专业知识更高，但可读性较差。在不同的主题中，受试者的看法没有差异。结果提供了保守的估计，计算机编写的新闻，这将进一步增加随着时间的推移，并支持之前呼吁建立计算机编写的新闻道德。
We conducted an online experiment to study people's perception of automated computer-written news. Using a 2 x 2 x 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.