학술논문

The False Binary of Reason and Emotion in Data Visualisation
Document Type
Chapter
Author
Source
Feminist AI : Critical Perspectives on Algorithms, Data, and Intelligent Machines, 2023.
Subject
data visualisation
feminism
design
emotion
women’s and gender studies
Plasma Physics
Computational Physics
Language
English
Abstract
In this chapter, D’Ignazio and Klein call for the incorporation of emotions and embodied experiences into data visualisation practices. They ask: how did the field of data communication arrive at conventions that prioritise rationality and exclude emotion? Ignazio and Klein argue that data selection and presentation is always political, and should be visualised in such a way as makes this evident. The piece features a number of stunning data visualisations created by artists and designers that bring to life their feminist emphasis on ‘elevating emotion’ and ‘stories from a standpoint’. Ultimately, D’Ignazio and Klein argue that rebalancing emotion and reason enlarges the data communication toolbox and allows one to focus on what truly matters in a data design process: honouring context, gathering attention and taking action in service of rebalancing social and political power.

Online Access