Rating news with Gemini and visualising with a CRT effect #touchdesigner #creativecoding #python

This is a mix of Python and TouchDesigner. I used Python to scrape and clean news headlines from two news APIs. I then call Gemini to evaluate each headline based on what it thinks the societal impact is. A score from -100 to -1 indicates a negative effect, 0 is neutral, and 1 to 100 indicates a positive effect.

These scores are visualized using gaming terminology: ATK (attack, red) for negative impact, HP (hit points, green) for positive impact, and Neut (grey) for neutral. I find this language fitting, as news stories often feel distant, almost like elements of a game.

The visuals were completed mostly in TouchDesigner. Some grain applied, lens bending to mimic a curved CRT screen, chromatic displacement, the warping effect of text, the flickering of text. The ATK/HP/Neut labels and scores were added with Python as part of the Gemini scoring process.

Please note that the scoring is the AI’s assessment rather than my personal opinion, and this post is meant to be a form of generative art and social commentary on the ‘personal’ perspectives of AI.

Track ID: Alva Noto – Prototype 11

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