Automated News: Better than expected?

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Authors Mario Haim, Andreas Graefe
Journal/Conference Name DIGITAL JOURNALISM
Paper Category
Paper Abstract We conducted two experiments to study people’s prior expectations and actual perceptions of automated and human-written news. We found that, first, participants expected more from human-written news in terms of readability and quality; but not in terms of credibility. Second, participants’ expectations of quality were rarely met. Third, when participants saw only one article, differences in the perception of automated and human-written articles were small. However, when presented with two articles at once, participants preferred human-written news for readability but automated news for credibility. These results contest previous claims according to which expectation adjustment explains differences in perceptions of human-written and automated news.
Date of publication 2017
Code Programming Language R

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