read11 min
Trustworthy interactions with large language models
How can we integrate large language models in design effectively while addressing their limitations and ensuring trust?
Play prototype
Created by Thomas Clever, Jan Hoogeveen and Wilco TomassenHow has news media representation of migration evolved over time? We visualised seven years of migration news coverage to reveal new patterns and perspectives on this complex topic.
Background
‘Seeing Data’ is a collaborative research project led by the University of Leeds and the Migration Observatory Oxford. The project investigates how people make sense of big data visualizations using migration data as the topic and basis for the visualizations of the experiment. The visualization focuses on 7 years worth of news coverage regarding the topic.
Visualizing which people/organizations tended to appear together within newspaper items for tabloid, midmarket and broadsheet.
What did we learn?
Using different visualization techniques with the same data allows for gaining different insights into the topic at hand. Especially for bigger projects, we've learned to take this approach in order to show new ways of looking at data.
Ambitions
The project creates new perspectives on conducting additional research into how the general pubic perceives big data.
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ESG needs data design [Part 2]
At CLEVER°FRANKE, we’re curious about how ESG Scores are presented and communicated.