WavePulse：無線直播的即時內容分析

摘要

廣播仍然是大規模信息傳播的普遍媒介，AM/FM電台觸及的美國人數超過智能手機社交網絡或現場電視。越來越多的廣播節目也在線上串流並通過互聯網訪問。我們提出WavePulse，一個能夠實時記錄、記錄和分析廣播內容的框架。雖然我們的框架通用，但我們展示了WavePulse在與一組政治科學家合作的項目中的有效性，該項目專注於2024年總統選舉。我們使用WavePulse在三個月的時間內監控了396個新聞廣播電台的直播流，處理了近500,000小時的音頻流。這些流被轉換為時間戳記、日誌化的文字記錄，並進行分析以追踪國家和州級政治科學問題的答案。我們的分析揭示了地方問題如何與國家趨勢互動，提供了有關信息流的見解。我們的結果展示了WavePulse在捕獲和分析來自網絡的廣播直播流的內容方面的有效性。代碼和數據集可在https://wave-pulse.io 上訪問。

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.

WavePulse：無線直播的即時內容分析

WavePulse: Real-time Content Analytics of Radio Livestreams

摘要

Summary

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