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Pré-Publication, Document De Travail Année : 2014

Deep Tags: Toward a Quantitative Analysis of Online Pornography

Résumé

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.

Domaines

Web
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Dates et versions

hal-00937745 , version 1 (28-01-2014)
hal-00937745 , version 2 (11-08-2014)

Identifiants

  • HAL Id : hal-00937745 , version 1

Citer

Antoine Mazieres, Mathieu Trachman, Jean-Philippe Cointet, Baptiste Coulmont, Christophe Prieur. Deep Tags: Toward a Quantitative Analysis of Online Pornography. 2014. ⟨hal-00937745v1⟩
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