{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1b7dc48bbef245eab4e1244e28290bae\" frameborder=\"0\" width=\"1112\" height=\"834\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":834,"width":1112,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":834,"thumbnail_width":1112,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/1b7dc48bbef245eab4e1244e28290bae-5f61e0e8f9d832c0.gif","duration":170.9865,"title":"Analyzing Political Bias and Manipulation in Twitter Feeds","description":"In this video, I demonstrate our project that aggregates political bias and manipulation in Twitter feeds using the Chrome AI model and Gemma 2.5 flashlight. I show how the model assesses my feed, revealing a bias score of R0.20, and how it reacts to different threads, like Trump's, which skews right. We also have a manipulation slider that measures tweet manipulation on a scale of zero to one, and I've tested various methods to define manipulation. I encourage you to explore how the model understands context and biases in real-time as we continue to refine its performance. Please let me know your thoughts on the findings!"}