WavePulse：广播实时内容分析

WavePulse: Real-time Content Analytics of Radio Livestreams

December 23, 2024

作者: Govind Mittal, Sarthak Gupta, Shruti Wagle, Chirag Chopra, Anthony J DeMattee, Nasir Memon, Mustaque Ahamad, Chinmay Hegde

cs.AI

摘要

广播仍然是一种广泛传播大众信息的媒介，AM/FM 电台覆盖的美国人数超过基于智能手机的社交网络或现场电视。越来越多的广播也通过在线流媒体和互联网访问。我们提出了 WavePulse，一个实时记录、记录和分析广播内容的框架。虽然我们的框架通用，但我们展示了 WavePulse 在与一组专注于 2024 年总统选举的政治科学家团队合作的项目中的有效性。我们使用 WavePulse 监控了 396 家新闻广播电台的直播流，持续三个月，处理了近 500,000 小时的音频流。这些流被转换为时间戳、日记化的文本，并进行分析，以追踪国家和州级政治科学问题的答案。我们的分析揭示了地方问题如何与国家趋势互动，为信息流提供了见解。我们的结果展示了 WavePulse 在捕获和分析来自网络的广播直播流内容方面的有效性。代码和数据集可在 https://wave-pulse.io 获取。

English

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 https://wave-pulse.io.