As LLM-generated text is increasingly used, especially in fictional domains, we explore how much LLM-generated stories differ from human-written stories.In this work, we focus on characters.We borrow definitions from narratology to analyze 8 intricate category-pairs of character, such as stylization and wholeness.These category-pairs consider more than just basic characteristics.They assess how characters are portrayed within their stories.After automatically inferring categories of characters within both LLM and human-written stories, we compare and contrast these two sets of stories.We consider the following overarching questions: (1) Do LLMs and human-written stories have similar characters? and (2) Do LLMs generate stories with a variety of characters?Our analysis includes research questions that focus on stories generated by popular LLMs and recently published human-written stories.We describe a number of interesting similarities, differences and key takeaways.1