Network activity visualizations
Visualizing cybersecurity data on a global scale
We researched how online news articles paint our worldview in daily life. We collected and analyzed 553.527 images from English articles, highlighted by news.google.com, from July 1st, 2021 until June 30th, 2022 and extracted 2.715.868 unique colors.
Analyzing over 500k images allowed us to work around design principles (communication, color spaces...) from a technical perspective using color analysis JavaScript libraries and data analysis and visualization in Python. At the same time, we faced the challenge of storing, analyzing, and processing such a large dataset in a relational database.
Introducing this research allows us to reflect how we perceive visual information and become more attune to how the media literally paints our worldview. In turn, we become more aware and appreciative of the colors that surround us everyday.
Network activity visualizations
Visualizing cybersecurity data on a global scale
Trustworthy interactions with large language models
How can we integrate large language models in design effectively while addressing their limitations and ensuring trust?
AI scoring beyond technical performance
What if AI models came with a label?