This dataset contains over 41,000 posts from the sextortion reporting board of scamsurvivors.com, as collected on the 14th of July, 2023. The data was collected and is shared with the approval of the Scam Survivors administrator. Of these posts, 23,705 were automatically identified as following a common structured report format, and the reported answers to specific questions were extracted into a tabular CSV format, which was then further processed to clean and standardise responses. The data does not contain identifiable or demographic victim information, as the reports are anonymous at source, but does include details of sextortion offenders' (purported) names and ages, as well as their online presence, meeting locations, conversation platforms, interaction dynamics, payment demands and some victim reflection on incidents. This dataset has been created as part of the REPHRAIN project (https://www.rephrain.ac.uk/).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains over 41,000 posts from the sextortion reporting board of scamsurvivors.com, as collected on the 14th of July, 2023. The data was collected and is shared with the approval of the Scam Survivors administrator. Of these posts, 23,705 were automatically identified as following a common structured report format, and the reported answers to specific questions were extracted into a tabular CSV format, which was then further processed to clean and standardise responses. The data does not contain identifiable or demographic victim information, as the reports are anonymous at source, but does include details of sextortion offenders' (purported) names and ages, as well as their online presence, meeting locations, conversation platforms, interaction dynamics, payment demands and some victim reflection on incidents.
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This dataset contains over 41,000 posts from the sextortion reporting board of scamsurvivors.com, as collected on the 14th of July, 2023. The data was collected and is shared with the approval of the Scam Survivors administrator. Of these posts, 23,705 were automatically identified as following a common structured report format, and the reported answers to specific questions were extracted into a tabular CSV format, which was then further processed to clean and standardise responses. The data does not contain identifiable or demographic victim information, as the reports are anonymous at source, but does include details of sextortion offenders' (purported) names and ages, as well as their online presence, meeting locations, conversation platforms, interaction dynamics, payment demands and some victim reflection on incidents. This dataset has been created as part of the REPHRAIN project (https://www.rephrain.ac.uk/).