Abstract

ABSTRACTComputers are now able to automatically generate metaphors, but some automatically generated metaphors are more well received than others. In this article, we showed participants a series of “A is B” type metaphors that were either generated by humans or taken from the Twitter account “MetaphorIsMyBusiness”, which is linked to a fully automated metaphor generator. We used these metaphors to assess linguistic factors that drive metaphor appreciation and understanding, including the role of novelty, word frequency, concreteness, and emotional valence of the topic and vehicle terms. We additionally assessed how these metaphors were understood in three languages, including English, Spanish, and Mandarin Chinese, and whether participants thought they had been generated by a human or a computer. We found that meaningfulness, appreciation, speed in finding meaning, and humanness ratings were reliably correlated with each other in all three languages, which we interpret to indicate a mor...