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About the app:

This app has been developed in order to predict the risk of individuals being drawn into online sex work. The data used to build this app can be found here. 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"

About the data:

The data has the following components:

  1. User_ID -> User ID of the individuals whose data has been collected.
  2. Gender -> Male/Female
  3. Age -> 18-84
  4. Location -> Location of the user . Anonymized column.
  5. Verification -> "Non_Verified", "Verified", "Administrator".
  6. Sexual_orientation -> "Homosexual", "Heterosexual", "bicurious", "bisexual", "None".
  7. Sexual_polarity -> "Switch", "Dominant", "Submisive", "None".
  8. Looking_for-> "Men", "Women", "Nobody_but_maybe", "Nobody", "Men_and_Women".
  9. Points_Rank
  10. Last_login
  11. Member_since
  12. Number_of_Comments_in_public_forum
  13. Number_of_advertisments_posted
  14. Number_of_offline_meetings_attended
  15. Profile_pictures
  16. Friends_ID_list-> Network of an individual on that site.
  17. Risk -> The risk of that individual being drawn into online sex-work.

How to use the app:

  1. Select or type in the age range you would like to compare in the sidebar of the main dashboard window.
  2. Select the last login range you would like to compare from the slider sidebar.
  3. Select the year range you would like to compare from the input slider.

Download the data:

You can download the data of the predicted risks by clicking on the Download data button below the data table. Thanks.