Deep tags: toward a quantitative analysis of online pornography

Abstract

2014) Deep tags: toward a quantitative analysis of online pornography, Porn Studies, 1:1-2, 80-95,The development of the web has increased the diversity of pornographic content, and at the same time the rise of online platforms has initiated a new trend of quantitative research that makes possible the analysis of data on an unprecedented scale. This paper explores the application of a quantitative approach to publicly available data collected from pornographic websites. Several analyses are applied to these digital traces with a focus on keywords describing videos and their underlying categorization systems. The analysis of a large network of tags shows that the accumulation of categories does not separate scripts from each other, but instead draws a multitude of significant paths between fuzzy categories. The datasets and tools we describe have been made publicly available for further study.

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Characterizing and Predicting Supply-side Engagement on Video Sharing Platforms Using a Hawkes Process Model

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