Modeling Language Usage and Listener Engagement in Podcasts

• URL: http://arxiv.org/abs/2106.06605v1
• Date: Fri, 11 Jun 2021 20:40:15 GMT
• Title: Modeling Language Usage and Listener Engagement in Podcasts
• Authors: Sravana Reddy, Marina Lazarova, Yongze Yu, and Rosie Jones
• Abstract summary: We investigate how various factors -- vocabulary diversity, distinctiveness, emotion, and syntax -- correlate with engagement. We build models with different textual representations, and show that the identified features are highly predictive of engagement. Our analysis tests popular wisdom about stylistic elements in high-engagement podcasts, corroborating some aspects, and adding new perspectives on others.
• Score: 3.8966039534272916
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: While there is an abundance of popular writing targeted to podcast creators on how to speak in ways that engage their listeners, there has been little data-driven analysis of podcasts that relates linguistic style with listener engagement. In this paper, we investigate how various factors -- vocabulary diversity, distinctiveness, emotion, and syntax, among others -- correlate with engagement, based on analysis of the creators' written descriptions and transcripts of the audio. We build models with different textual representations, and show that the identified features are highly predictive of engagement. Our analysis tests popular wisdom about stylistic elements in high-engagement podcasts, corroborating some aspects, and adding new perspectives on others.

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