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Fairy tales are a common resource for young children to learn a language orunderstand how a society works. However, gender bias, e.g., stereotypicalgender roles, in this literature may cause harm and skew children's world view.Instead of decades of qualitative and manual analysis of gender bias in fairytales, we computationally analyze gender bias in a fairy tale datasetcontaining 624 fairy tales from 7 different cultures. We specifically examinegender difference in terms of moral foundations, which are measures of humanmorality, and events, which reveal human activities associated with eachcharacter. We find that the number of male characters is two times that offemale characters, showing a disproportionate gender representation. Ouranalysis further reveal stereotypical portrayals of both male and femalecharacters in terms of moral foundations and events. Female characters turn outmore associated with care-, loyalty- and sanctity- related moral words, whilemale characters are more associated with fairness- and authority- related moralwords. Female characters' events are often about emotion (e.g., weep),appearance (e.g., comb), household (e.g., bake), etc.; while male characters'events are more about profession (e.g., hunt), violence (e.g., destroy),justice (e.g., judge), etc. Gender bias in terms of moral foundations shows anobvious difference across cultures. For example, female characters are moreassociated with care and sanctity in high uncertainty-avoidance cultures whichare less open to changes and unpredictability. Based on the results, we proposeimplications for children's literature and early literacy research.

A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale