Automated News Better than expected?
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'...
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| Published in | Digital journalism Vol. 5; no. 8; pp. 1044 - 1059 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Routledge
14.09.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2167-0811 2167-082X |
| DOI | 10.1080/21670811.2017.1345643 |
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| 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. |
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| AbstractList | 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. |
| Author | Haim, Mario Graefe, Andreas |
| Author_xml | – sequence: 1 givenname: Mario surname: Haim fullname: Haim, Mario email: mario.haim@ifkw.lmu.de organization: Department of Communication Studies and Media Research, LMU – sequence: 2 givenname: Andreas surname: Graefe fullname: Graefe, Andreas email: a.graefe@macromedia.de organization: Macromedia University |
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