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Risk-of-being-drawn-into-online-sex-work-(cleaned) - MaRDI portal

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Risk-of-being-drawn-into-online-sex-work-(cleaned)

From MaRDI portal
Dataset:6036707



OpenML43610MaRDI QIDQ6036707

OpenML dataset with id 43610

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22102435/Risk-of-being-drawn-into-online-sex-work-(cleaned).arff

Upload date: 24 March 2022



Dataset Characteristics

Number of features: 30 (numeric: 26, symbolic: 2 and in total binary: 2 )
Number of instances: 28,831
Number of instances with missing values: 28,779
Number of missing values: 54,259

Description

This dataset is the resulting cleaned version of Panos Kostakos's Risk of being drawn into online sex work dataset. Context This database was used in the paper: "Covert online ethnography and machine learning for detecting individuals at risk of being drawn into online sex work". https://www.flinders.edu.au/centre-crime-policy-research/illicit-networks-workshop Content The database includes data scraped from a European online adult forum. Using covert online ethnography we interviewed a small number of participants and determined their risk to either supply or demand sex services through that forum. This is a great dataset for semi-supervised learning. Acknowledgements The dataset was initially publicized by Panos Kostakos. Inspiration How can we identify individuals at risk of being drawn into online sex work? The spread of online social media enables a greater number of people to be involved into online sex trade; however, detecting deviant behaviors online is limited by the low available of data. To overcome this challenge, we combine covert online ethnography with semi-supervised learning using data from a popular European adult forum.






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