Evaluating Data-Driven Stories and Storytelling Tools *

Autor: Gordon Bolduan, Benjamin Wiederkehr, Fereshteh Amini, Christina Elmer, Matthew Brehmer
Rok vydání: 2018
Předmět:
Zdroj: Data-Driven Storytelling ISBN: 9781315281575
Data-Driven Storytelling
Popis: This chapter includes the evaluation of a data-driven story in a newsroom context as well as the evaluation of novel storytelling tools and techniques in academic research settings. It discusses the goals of various stakeholders related to data-driven storytelling. The chapter characterizes the criteria by which these goals are met. The definition of leadership is the capacity of someone to lead a group. In the context of data-driven storytelling, it means the ability of a publisher to lead in a certain segment of journalism relative to its competitors. In order to consider the goals of the audience for a data-driven story, the chapter considers the contexts in which the stories appear and the relationship between the storytellers and their audience. Storytellers, publishers, tool builders, and audience members can assess whether their goals have been met according to a variety of criteria. The chapter provides a nonexhaustive set of criteria by which data-driven stories and storytelling tools can be assessed.
Databáze: OpenAIRE