Data Fluencies (en Inglés) - Philippa R. Adams;Roopa Vasudevan;Gillian Russell;Kishonna Gray;Wendy Hui Kyong Chun;Tara McPherson

Creating communities of care in the digital world

Data Fluencies offers a model for enacting theories of data justice, methods of community engagement, and practical approaches to disrupting institutions and infrastructures that have diminished the capacities of everyday digital technology users. Combining humanities-based critical thinking, computational data analyses, arts-based research cocreation, and media making, data fluencies offer creative and imaginative approaches to investigating and countering algorithmic discrimination, digital surveillance, mis- and disinformation, and deep fake versions of reality.

Not fixed or static, data fluencies move with, through, and against data streams to build the worlds we want, not the ones algorithms push on us. Presenting real-world examples, the authors demonstrate how data fluencies transcend difference and counter the proliferation of hate and toxicity online. As they outline visions for disrupting the past to reimagine the future, the authors guide the way in devising new ways to think, act, and imagine – to influence and reshape the currents that flow through our data-driven world.

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