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Using digital open source and crowdsourced data in studies of deviance and crime

  • Rajeev V. Gundur*
  • , Mark Berry
  • , Dean Taodang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

As the internet has become cheaper, faster, and more widely used, the amount of data generated by people has increased exponentially. Much of the data is provided by users’ activities, often mundane tasks, like making purchases, engaging in exercise routines, and consuming streaming content. In some cases, these tasks are leveraged by criminal actors; in others, these tasks include criminal activities. Using data to explore patterns of offending and victimization is critical to understanding crime trends in the digital age. This chapter explores how researchers have used open source data collection techniques and have solicited data using crowdsourcing to develop viable datasets to explore social scientific enquiries. These techniques illustrate that it is increasingly possible to gather and solicit information and analytical help to explore deviance, victimization, social taboos, and behaviors that are often kept out of public view but nonetheless impact society.
Original languageEnglish
Title of host publicationResearching Cybercrimes
Subtitle of host publicationMethodologies, Ethics, and Critical Approaches
EditorsAnita Lavorgna, Thomas J. Holt
Place of PublicationCham
PublisherPalgrave Macmillan Cham
Pages145-167
Number of pages23
ISBN (Electronic)9783030748371
ISBN (Print)9783030748364
DOIs
Publication statusPublished - 30 Jul 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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