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首页> 外文期刊>Media and Communication >Automated Journalism: A Meta-Analysis of Readers’ Perceptions of Human-Written in Comparison to Automated News
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Automated Journalism: A Meta-Analysis of Readers’ Perceptions of Human-Written in Comparison to Automated News

机译：自动化新闻：与自动化新闻相比，读者对人写人工的看法的荟萃分析

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摘要

This meta-analysis summarizes evidence on how readers perceive the credibility, quality, and readability of automated news in comparison to human-written news. Overall, the results, which are based on experimental and descriptive evidence from 12 studies with a total of 4,473 participants, showed no difference in readers’ perceptions of credibility, a small advantage for human-written news in terms of quality, and a huge advantage for human-written news with respect to readability. Experimental comparisons further suggest that participants provided higher ratings for credibility, quality, and readability simply when they were told that they were reading a human-written article. These findings may lead news organizations to refrain from disclosing that a story was automatically generated, and thus underscore ethical challenges that arise from automated journalism.
机译：该元分析总结了读者如何感知自动化新闻的可信度，质量和可读性的证据与人为新闻相比。总体而言，基于来自12项研究的实验和描述性证据的结果，读者对信誉的看法没有差异，在质量方面具有人为新闻的小优势，以及巨大的优势对于人类的新闻，关于可读性。实验比较进一步表明，当他们被告知他们正在阅读人为的文章时，参与者就可以为可信度，质量和可读性提供更高的可信度，质量和可读性。这些调查结果可以引导新闻机构避免披露故事是自动产生的，因此强调了自动化新闻中出现的道德挑战。

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