title: WavePulse: Real-time Content Analytics of Radio Livestreams
summary: 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.
paper_authors._id: 676d8eb98771d55751f14218
paper_authors.name: Govind Mittal
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paper_authors.fullname: Govind Mittal
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paper_authors.user: mittal
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paper_authors.name: Sarthak Gupta
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paper_authors.name: Shruti Wagle
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paper_authors.name: Chirag Chopra
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paper_authors.fullname: Chirag Chopra
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paper_authors.user: Chirag77
paper_authors._id: 676d8eb98771d55751f1421c
paper_authors.name: Anthony J DeMattee
paper_authors._id: 676d8eb98771d55751f1421d
paper_authors.name: Nasir Memon
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paper_authors.name: Mustaque Ahamad
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paper_authors.name: Chinmay Hegde
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paper_authors.statusLastChangedAt: 2025-03-03T11:50:24.204Z
paper_authors._id: 631620f6894404e25068856f
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paper_authors.fullname: Chinmay Hegde
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paper_authors.user: chegde
paper_title: WavePulse: Real-time Content Analytics of Radio Livestreams
paper_summary: 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.