2022
DOI: 10.1080/02699931.2022.2031906
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Serial reproduction of narratives preserves emotional appraisals

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Cited by 20 publications
(22 citation statements)
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“…The purpose is both to evaluate the ability of artificial intelligence to predict emotional responses to stories (trained on data from human rates) and to evaluate the extent to which story tellers preserve emotions over repeated retellings. The current study thus follows the study by Breithaupt et al 34 with different analytical tools and different emotions. However, it differs substantially from that study by evaluating the capacity for RoBERTa to encode emotions that are not explicitly named, but appear in complex contexts.…”
Section: Introductionmentioning
confidence: 86%
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“…The purpose is both to evaluate the ability of artificial intelligence to predict emotional responses to stories (trained on data from human rates) and to evaluate the extent to which story tellers preserve emotions over repeated retellings. The current study thus follows the study by Breithaupt et al 34 with different analytical tools and different emotions. However, it differs substantially from that study by evaluating the capacity for RoBERTa to encode emotions that are not explicitly named, but appear in complex contexts.…”
Section: Introductionmentioning
confidence: 86%
“…A total of 25,728 retellings were collected across all three generations based on stories such as the one provided above. Our analysis offered in this paper includes duplicates of retellings initiated by the same previous story that were excluded in the analysis by Breithaupt et al 34 since they focussed on retellings with complete single chains and thus only analysed 18,738 of the collected retellings.…”
Section: Methodsmentioning
confidence: 99%
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