Crowdsourcing Criminology: Social Media and Citizen Policing in Missing Person Cases

Author:

Gray Garry1ORCID,Benning Brigitte12

Affiliation:

1. University of Victoria, British Columbia, Canada

2. Indigenous Education Coordinator, Peace Wapiti Public School Division, Grande Prairie, Alberta, Canada

Abstract

Criminology is undergoing a process of innovation and experimentation with the rise of social media. Although police have traditionally been the locus of legal enforcement, ordinary citizens are increasingly afforded opportunities to participate in crowdsourced investigations. In this article, we explore the emerging field of crowdsourcing criminology and its relationship to newsmaking criminology, public criminology, and the reshaping of news as infotainment (popular criminology). Drawing on a case study of a missing person named Emma Fillipoff, and our experience of involvement in the development of a television (TV) documentary dedicated to help finding Emma, we examine the process of crowdsourcing in practice and how it may oscillate between infotainment and public criminology inspired by academic evidence. Crowdsourcing criminology represents both a theoretical and an applied shift in our research focus and paves the way for a host of new projects that strive to reveal the strategies and techniques that define and characterize crowdsourced investigations.

Publisher

SAGE Publications

Subject

General Social Sciences,General Arts and Humanities

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1. Constructive Manoeuvring of the Interconnected World;Cases on Forensic and Criminological Science for Criminal Detection and Avoidance;2024-05-17

2. Information security for criminological ethnographers;Crime, Media, Culture: An International Journal;2024-01-12

3. The Role Nurses Can Play in Addressing and Preventing the Prevalence of Missing or Murdered Indigenous Women and Girls (MMIWG);Journal of Transcultural Nursing;2023-09-27

4. Social Media Intelligence;Advances in Computational Intelligence and Robotics;2022-12-30

5. Organizations Decentered: Data Objects, Technology and Knowledge;Organization Science;2022-01

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