Credibility and computing technology
Communications of the ACM
Judgement of information quality and cognitive authority in the Web
Journal of the American Society for Information Science and Technology
SVM Classification Using Sequences of Phonemes and Syllables
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
An audio stream classification and optimal segmentation for multimedia applications
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Podcast Solutions: The Complete Guide to Podcasting (Solutions)
Podcast Solutions: The Complete Guide to Podcasting (Solutions)
The Technology Underlying Podcasts
Computer
Journal of the American Society for Information Science and Technology
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
ZemPod: A semantic web approach to podcasting
Web Semantics: Science, Services and Agents on the World Wide Web
Information Processing and Management: an International Journal
Automatically assessing the post quality in online discussions on software
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Exploiting Surface Features for the Prediction of Podcast Preference
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Towards the measurement of Arabic Weblogs credibility automatically
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Contextual factors for finding similar experts
Journal of the American Society for Information Science and Technology
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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.