“Social biases and stereotypes are embedded in our culture in part through their presence in our stories, as evidenced by the rich history of humanities and social science literature analyzing such biases in children stories. … Such investigations can benefit from the use of more recent natural language processing methods that examine social bias in models and data corpora. … We propose a computational pipeline that automatically extracts a story’s temporal narrative verb-based event chain for each of its characters as well as character attributes such as gender.”

Find the paper and the full list of authors at ArXiv.