Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus
2024/11/12 by Benjamin Roger Litterer, Benjamin Litterer, Litterer, Benjamin +4 · 8 voices · 1 citation
Social Sciences · #Radio, Podcasts, and Digital Media
paper · pdf · doi:10.18653/v1/2025.acl-long.1222
Abstract
Podcasts provide highly diverse content to a massive listener base through a unique on-demand modality. However, limited data has prevented large-scale computational analysis of the podcast ecosystem. To fill this gap, we introduce a massive dataset of over 1.1M podcast transcripts that is largely comprehensive of all English language podcasts available through public RSS feeds from May and June of 2020. This data is not limited to text, but rather includes audio features and speaker turns for a subset of 370K episodes, and speaker role inferences and other metadata for all 1.1M episodes. Using this data, we also conduct a foundational investigation into the content, structure, and responsiveness of this ecosystem. Together, our data and analyses open the door to continued computational research of this popular and impactful medium.
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Discussions
- Do podcasts play a decisive role in politics? This fascinating new paper maps the ecosystem using a large database of podcast transcripts from 2020. My first take away: politics is dwarfed by entertai [bsky, 83 points, 2 comments]
- Podcasts are a popular medium, but data for computational research is limited! We introduce the Structured Podcast Research Corpus (SPoRC - huggingface.co/datasets/bli...), a large, multimodal dataset [bsky, 69 points, 4 comments]
- Structured Podcast Open Research Corpus covers episodes from May and June 2020, including transcripts for 1M episodes, and audio for 370k episodes. Dataset: huggingface.co/datasets/bli... Accompanying [bsky, 15 points, 2 comments]
- Expect a lot of interest from computational social scientist in the podcast space the next few years. Here's a cool project: arxiv.org/abs/2411.07892 A dataset with 1.1 M English language podcast tr [bsky, 6 points, 1 comments]
- Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus [hn, 2 points, 0 comments]
- Our accompanying paper (arxiv.org/abs/2411.078...) includes analyses of the composition, structure, and dynamics of the podcast ecosystem, as well as methodological details. Check out the data (huggin [bsky, 2 points, 1 comments]
- "Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus" arxiv.org/abs/2411.07892 [bsky, 2 points, 0 comments]
- New #article from Litterer et al: Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus TL;DR: the podcast ecosystem responded similarly to how the news media respond to major even [bsky, 1 points, 0 comments]
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