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被卷入在线性工作的风险

被卷入在线性工作的风险

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    README.md

    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.][1] 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, 28-31 August. 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. 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. [1]: https://ieeexplore.ieee.org/document/8508276
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