Feminist Periscoping and Feminist Data Visualization: Strategies for Analyzing and Disseminating Messy Data

Abstract

In this article, we build on feminist geographical methodological innovations that link theories about data transparency and multiplicity with praxis, suggesting how feminist methods can better reflect the messiness of data. We argue that two interrelated strategies, feminist periscoping and feminist visualization, can highlight the strengths across messy data sets while also being transparent about the gaps within the data. We illustrate this argument using two examples from research into public information campaigns developed to dissuade unauthorized migration to the United States and Australia. Taken together, we argue, feminist periscoping and feminist visualization approaches are an effective way of analyzing and disseminating messy data.