Fear is a universal concept; people crave it in urban legends, scary movies, and modern stories. Open questions remain, however, about why these stories are scary and more generally what scares people. In this study, we explore these questions by analyzing tens of thousands of scary stories on forums (known as subreddits) in a social media website, Reddit. We first explore how writing styles have evolved to keep these stories fresh before we analyze the stable core techniques writers use to make stories scary. We find that writers have changed the themes of their stories over years from haunted houses to school-related themes, body horror, and diseases. Yet some features remain stable; words associated with pseudo-human nouns, such as clown or devil are more common in scary stories than baselines. In addition, we collect a range of datasets that annotate sentences containing fear. We use these data to develop a high-accuracy fear detection neural network model, which is used to quantify where people express fear in scary stories. We find that sentences describing fear, and words most often seen in scary stories, spike at particular points in a story, possibly as a way to keep the readers on the edge of their seats until the story's conclusion. These results provide a new understanding of how authors cater to their readers, and how fear may manifest in stories.
翻译:恐惧是一个普世概念; 人们在城市传说、恐怖电影和现代故事中渴望恐惧; 但是,关于为什么这些故事是可怕的,而且更一般地说是吓人的, 问题仍然存在。 在本研究中,我们通过在社交媒体网站Reddit 中分析数以万计的论坛(称为子编辑)中的恐怖故事来探讨这些问题。 我们首先探讨写作风格如何在分析稳定的核心技术作家用来使故事变得可怕之前使这些故事变得新鲜。 我们发现作家多年来改变了他们的故事的主题,从鬼屋到与学校有关的主题、身体恐怖和疾病。 但有些特点仍然保持稳定; 与假人名词相关的词,如小丑或魔鬼等,在恐怖故事中比基线更为常见。 此外,我们收集了一系列含有恐惧的注释性句子。 我们利用这些数据来开发一个高精度恐惧度的神经网络模型,用来量化人们在恐怖故事中表达恐惧的地方。 我们发现,描述恐惧和最经常看到恐怖故事的词句子,在某个故事中,在某个特别的点上出现,在某个故事中,在某个特定点上,比如小丑或魔鬼的词,在某个故事中,可能是用来表达他们的恐惧, 如何让读者了解这些故事的边缘, 成为了他们的故事的结局。