Data storytelling is not storytelling with data: A framework for storytelling in science communication and data journalism
Data storytelling is not storytelling with data: A framework for storytelling in science communication and data journalism
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数据讲故事不是用数据讲故事：科学传播和数据新闻讲故事的框架
DOI：
10.1080/01972243.2021.1951415
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Lucas Hunter
中科院分区：
文献类型：
--
作者：
S. Matei;Lucas Hunter
抽象的故事教。所有好的故事都是好的教学。讲故事是一种教学和学习的形式，因为它要求读者或听众用新的、意想不到的解释取代被认为是事实的既定解释。我们总是在听好故事的时候学到新的东西。好的故事是通过打破预期，让听众或读者感到惊讶来实现的。惊喜孕育悬念，悬念产生参与，参与是学习的催化剂--对于科学和数据驱动的故事来说更是如此。在本文中，我们将展示如何通过关注它们引入的新奇和它们违反的假设来理解好故事的本质，这有助于我们进行有效的科学工作，并讲述基于数据的优秀故事。我们首先提供“故事”、“讲故事”和“好故事”的定义。然后，我们概述了构建故事的方法，并提供了一个说明性的例子，一个有效的基于数据的故事，从医学史。
Abstract Storytelling teaches. All good storytelling is good teaching. Storytelling is a form of teaching and learning because it asks the readers or listeners to replace well-established explanations that are considered facts with new, unexpected ones. We always learn new things when listening to good stories. Good stories do so by violating expectations and surprising the listener or the reader. Surprise breeds suspense, which generates engagement, which is a catalyst for learning – even truer for scientific and data-driven stories. In this paper we show how understanding the nature of good stories by focusing on the novelty they introduce and assumption they violate helps us to do effective scientific work and tell excellent data-based stories. We start by providing definitions of “story,” “storytelling,” and “good stories.” We then outline a methodology for building stories and provide an illustrative example of an effective data-based story from the history of medicine.