实时分析网络广播内容，揭示地方议题与全国趋势的互动关系。
WavePulse: Real-time Content Analytics of Radio Livestreams
- 将网络广播转为带时间戳的语音分离文本，实现内容实时追踪。
- 处理近50万小时音频，覆盖396家新闻电台，持续三个月。
- 适合政治学研究者、媒体分析人员及信息传播领域从业者。
无线电仍是大众信息传播的重要媒介，其受众规模超过智能手机社交网络和直播电视。越来越多的广播通过互联网流媒体播放。我们提出WavePulse框架，可实时记录、文档化并分析广播内容。该框架具有通用性，本文以与政治科学家合作研究2024年总统选举为例，监测396家新闻电台的直播流长达三个月，处理近50万小时音频。这些音频被转换为带时间戳的语音分离转录文本，并用于回答关键政治科学问题，涵盖国家与州级层面。分析揭示了地方议题与全国趋势的互动关系，展现了信息传播动态。结果表明，WavePulse能有效捕捉并分析来自网络的广播内容。代码与数据集可访问： https://wave-pulse.io。
原文摘要 · Abstract (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 \url{https://wave-pulse.io}.
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