[img: n.a. Screen Shot, porngram.sexualitics.org, 2014］
An interdisciplinary team of researchers has created a Google-Trends-like tool called Porngram that maps the evolution of keywords in the titles of 800,000 porn videos.
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The research team – made up of five individuals (Baptiste Coulmont, Antoine Mazières, Mathieu Trachman, Jean-Philippe Cointet and Christophe Prieur) with skills across computer science, sociology, statistics, mathematics and gender studies – scraped the videos’ titles, tags, description, viewcount, comments, runtime, upload date (if available) and uploader username using a custom-made crawler. These were then analysed using a quantitative approach in a bid to try and understand the classification of pornography and shed light, to a certain degree, on human sexuality (at least from the supply side).
Tags were sorted into categories (capturing variations of terms such as “blowjob”, “bj” etc) and then these were ranked in terms of the frequency of occurrence – how many videos have that particular tag. The most popular five percent of keywords (including amateur and blowjob) covered around 90 percent of videos and were therefore not particularly helpful in terms of categorising content.
The research – outlined in this paper – reveals not only the number of times a word occurs in the titles of porn movies over time, but the keywords that are most popular (based on views) and the ones that attract the most comments/reactions.
For full article featured in wired.co.uk click here.