Radio remains a pervasive medium for mass information dissemination, with AM/FM stations reaching more Americans than either smartphone-based social networking or live television. Increasingly, radio broadcasts are also streamed online and accessed over the Internet. We present WavePulse, a framework that records, documents, and analyzes radio content in real-time. While our framework is generally applicable, we showcase the efficacy of WavePulse in a collaborative project with a team of political scientists focusing on the 2024 Presidential Elections. We use WavePulse to monitor livestreams of 396 news radio stations over a period of three months, processing close to 500,000 hours of audio streams. These streams were converted into time-stamped, diarized transcripts and analyzed to track answer key political science questions at both the national and state levels. Our analysis revealed how local issues interacted with national trends, providing insights into information flow. Our results demonstrate WavePulse's efficacy in capturing and analyzing content from radio livestreams sourced from the Web. Code and dataset can be accessed at \url{https://wave-pulse.io}.

Where are the robots, exactly? One answer--if you read the steady flow of doomy articles online -- is that automation is everywhere, not just all over the media but (you would have to conclude) thoroughly infiltrating the economy. In that sense, the trend seems omnipresent even as it spawns a kind of free-floating dread amongst the chattering class. Yet, that can't be right. Almost nothing in today's economy is evenly distributed, whether it be technology, productivity, output, or inclusive prosperity.

Imagine this: your hospital administrator asks you to help reduce the length of inpatient stays and they need a plan within a week. Chances are, most of you couldn't. But, the technology to mine and analyze your data does exist. Much like your daily Google searches, it's possible to input your search criteria, click Enter, and have answers at your fingertips in seconds. Doing so is part of radiology's push toward using big data, said Woojin Kim, MD, director of innovation at Montage Healthcare Solutions, Inc. "Radiology doesn't yet have big data like other industries, but that's changing rapidly. People want access to data to be able to turn insight into action," he said.

Imagine this: your hospital administrator asks you to help reduce the length of inpatient stays and they need a plan within a week. Chances are, most of you couldn't. But, the technology to mine and analyze your data does exist. Much like your daily Google searches, it's possible to input your search criteria, click Enter, and have answers at your fingertips in seconds. Doing so is part of radiology's push toward using big data, said Woojin Kim, MD, director of innovation at Montage Healthcare Solutions, Inc. "Radiology doesn't yet have big data like other industries, but that's changing rapidly. People want access to data to be able to turn insight into action," he said.