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}.

Better educated, better paid white collar workers will be the most affected by artificial intelligence (AI), according to a newly released report by the Brookings Institution. The report goes against previous findings of Brookings' and other research that shows less educated and lower-wage workers will be most impacted by robots. Stanford University researcher Michael Webb's approach was to take the text of patents to identify the capabilities of AI, and then quantify the extent to which each occupation involves these technologies. Webb used natural language processing to quantify the overlap between patent texts and job description text and came up with an exposure score for each job. Out of the 769 occupational descriptions Webb analyzed, 740 "contain a capability pair match with AI patent language, meaning at least one or more of its tasks could potentially be exposed to, complemented by, or completed by AI,'' the report noted. "Importantly, this does not mean such tasks will be ...