How can responsibly applied advanced AI help journalists, scholars and policymakers better understand the emerging trends, themes and patterns of government and global media? What might it look like to use AI not to summarize, but to deeply reason over an entire day of government proceedings or television news coverage and tease out the emergent high-level patterns that become visible only at scale into a richly annotated fully cited thematic analysis, with each insight connected directly back to the original source material like an annotated index? How could such insights help journalists and scholars see the major emerging meta-stories of societies and policymakers better understand the trending developments of governance? Today in collaboration with the Internet Archive's TV News Archive, we are excited to announce the soft launch of two powerful new public interest experiments that explore these questions: "Today's Trends On Capitol Hill" and "Today's Media Trends". No data is used to train or tune any AI model.
Today’s Trends on Capitol Hill explores how advanced "reasoning" AI can help improve the functioning of government itself by helping journalists, scholars and Congressional staff look across the daily flood of legislation, actions, bills, proclamations, hearings, remarks, speeches, announcements and briefings to discover the overarching emerging themes and trends defining the focus and functioning of the US Government over time. Today's Media Trends expands this vision to a growing selection of international television news channels monitored by the Internet Archive's TV News Archive each day. As part of the Archive's Democracy's Library initiative, each report also attempts to catalog an exhaustive index of legislative mentions in each day's coverage – each linked back to its source mention, providing a growing look at the functioning of government across the world and within the US.
Each morning, we apply Google's Gemini 3 to deeply examine and reason over the previous day's coverage of each television news channel and a growing array of US Government information (starting initially with CSPAN), asking it to identify the high-level trends, insights and unexpected findings and present them in a fully cited report that connects each finding back to its source broadcast/document. We also use Google's Nano Banana Pro to create a cover infographic for the resulting report to explore the ability of advanced visualization to convey complex information to a diverse range of audiences. Only the enterprise Gemini APIs are used and no data is used to train or tune any AI model. The reports are entirely machine generated and may include errors and omissions and a key focus of this research is to explore both the potential and limitations of machine abstractive reasoning.
You can explore both of these public interest experiments below and sign up to receive their daily email newsletters and reach out with questions and suggestions of additional thematic areas we should explore in the reports: