Value attributed to text-based archives generated by artificial intelligence
Openly available natural language generation (NLG) algorithms can generate human-like texts across domains. Given their potential, ethical challenges arise such as being used as a tool for misinformation. It is necessary to understand both how these texts are generated from an algorithmic point of v...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
The Royal Society
2023-02-01
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Series: | Royal Society Open Science |
Subjects: | |
Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.220915 |