PodCred: A framework for analyzing podcast preference

Authors
Publication date 2008
Book title Proceedings of the 2nd ACM Workshop on Information Credibility on the Web (WICOW 2008)
ISBN
  • 9781605582597
Event 2nd ACM Workshop on Information Credibility on the Web (WICOW 2008), Napa Valley, CA, USA
Pages (from-to) 67-74
Publisher New York, NY: Association for Computing Machinery (ACM)
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
The PodCred framework is a framework for assessing the credibility and quality of podcasts published on the internet. It consists of a series of indicators designed to support prediction of listener preference of one podcast over another, given that both carry comparable informational content. The indicators are grouped into four categories pertaining to the Podcast Content, the Podcaster, the Podcast Context or the Technical Execution of the podcast. We adopt the term "cred" as a designation encompassing both credibility (comprising trustworthiness and expertise) and qualitative acceptability to listeners. Our podcast analysis framework is inspired by work on credibility in blogs, another medium dominated by user generated content. The PodCred framework is derived from a review of the literature on credibility for other media, a survey of prescriptive standards for podcasting, and a detailed data analysis of award winning podcasts. The paper concludes with a discussion of future work in which the framework will be applied.
Document type Conference contribution
Published at http://doi.acm.org/10.1145/1458527.1458545
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