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Artur Dubrawski

Biographic Data

ID135452
NAMEArtur Dubrawski
GIVEN NAMESArtur
FAMILY NAMEDubrawski
SIGNATUREDUBRAWSKI A
AFFILIATIONSCarnegie Mellon University
ORCID0000-0002-2372-0831
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS12
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2019
H-INDEX2
  • Quantifying the Relationship between Large Public Events and Escort Advertising Behavior

    Benedikt Boecking, Kyle Miller et al.•ARTICLE•Journal of Human Trafficking•2019•Cited by: 3•References: 7

    We study online escort advertisement responses to large scale public events using a time series anomaly detection framework. We analyze advertisement volume, approximations of advertiser volumes, and further devise a measure for movement derived from the spatio-temporal behavior amongst related advertisements. Our results imply that a variety of events correlate with unusual increases in sex worker activity, including an influx of providers that …

  • Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity

    Artur Dubrawski, Kyle Miller et al.•ARTICLE•Journal of Human Trafficking•2015•Cited by: 9•References: 18

    We present a few data analysis methods that can be used to process advertisements for escort services available in public areas of the Internet. These data provide a readily available proxy evidence for modeling and discerning human-trafficking activity. We show how it can be used to identify advertisements that likely involve such activity. We demonstrate its utility in identifying and tracking entities in the Web-advertisement data even if stro…

  • Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity

    Artur Dubrawski, Kyle Miller et al.•ARTICLE•Journal of Human Trafficking•2015•Cited by: 9•References: 18

    We present a few data analysis methods that can be used to process advertisements for escort services available in public areas of the Internet. These data provide a readily available proxy evidence for modeling and discerning human-trafficking activity. We show how it can be used to identify advertisements that likely involve such activity. We demonstrate its utility in identifying and tracking entities in the Web-advertisement data even if stro…

  • Quantifying the Relationship between Large Public Events and Escort Advertising Behavior

    Benedikt Boecking, Kyle Miller et al.•ARTICLE•Journal of Human Trafficking•2019•Cited by: 3•References: 7

    We study online escort advertisement responses to large scale public events using a time series anomaly detection framework. We analyze advertisement volume, approximations of advertiser volumes, and further devise a measure for movement derived from the spatio-temporal behavior amongst related advertisements. Our results imply that a variety of events correlate with unusual increases in sex worker activity, including an influx of providers that …

  • Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity

    Artur Dubrawski, Kyle Miller et al.•ARTICLE•Journal of Human Trafficking•2015•Cited by: 9•References: 18

    We present a few data analysis methods that can be used to process advertisements for escort services available in public areas of the Internet. These data provide a readily available proxy evidence for modeling and discerning human-trafficking activity. We show how it can be used to identify advertisements that likely involve such activity. We demonstrate its utility in identifying and tracking entities in the Web-advertisement data even if stro…

  • Quantifying the Relationship between Large Public Events and Escort Advertising Behavior

    Benedikt Boecking, Kyle Miller et al.•ARTICLE•Journal of Human Trafficking•2019•Cited by: 3•References: 7

    We study online escort advertisement responses to large scale public events using a time series anomaly detection framework. We analyze advertisement volume, approximations of advertiser volumes, and further devise a measure for movement derived from the spatio-temporal behavior amongst related advertisements. Our results imply that a variety of events correlate with unusual increases in sex worker activity, including an influx of providers that …

Computer Science (2 works) · Sex work and related issues (2 works) · Advertising (1 works) · Business (1 works) · Cartography (1 works) · Consumer Market Behavior and Pricing (1 works) · Criminology (1 works) · Data science (1 works) · Geography (1 works) · Human Mobility and Location-Based Analysis (1 works)

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