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Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps

Health and Fitness

Situated data analysis: a new method for analysing encoded power relationships in social media platforms and apps

J. W. Rettberg

Discover the groundbreaking concept of situated data analysis as proposed by Jill Walker Rettberg. This innovative method delves into the nuanced ways social media and digital apps, like Strava, manage data representation and processing. Explore the intricate power dynamics between platforms, users, and society that shape our digital experiences.

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Playback language: English
Abstract
This paper proposes situated data analysis as a new method for analyzing social media platforms and digital apps. A case study of the fitness tracking app Strava illustrates the method, analyzing how data is constructed, framed, and processed for different audiences and purposes. The analysis recognizes data's inherent partiality and situatedness, examining both data representations (like visualizations) and data operations (algorithmic processing). The continuum between representational and operational data use is linked to power relationships between platforms, users, and society, ranging from disciplinary power and technologies of the self to environmental power.
Publisher
Humanities and Social Sciences Communications
Published On
Jun 17, 2020
Authors
Jill Walker Rettberg
Tags
situated data analysis
social media
fitness tracking
data representation
algorithmic processing
power relationships
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