Using Digital Open Source and Crowdsourced Data in Studies of Deviance and Crime

Gundur, R.V.; Berry, Mark; Taodang, Dean

doi:10.1007/978-3-030-74837-1_8

Cited by 6 publications

(2 citation statements)

References 99 publications

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“…The justification for this was that the research used 'public' information available on social media platforms and that it did not involve primary data collection [108]. This is representative of debates within the field of digital research on what constitutes open-source data or public/private spaces online and how these should be researched [109,110]. However, this line of argument does not account for issues relating to self-disclosure of social media users.…”

Section: The Need To Diversify Researchmentioning

confidence: 99%

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

Fuller,

Vasek,

Mariconti

et al. 2023

Drug and Alcohol Review

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IssuesThe sale of illicit drugs online has expanded to mainstream social media apps. These platforms provide access to a wide audience, especially children and adolescents. Research is in its infancy and scattered due to the multidisciplinary aspects of the phenomena.ApproachWe present a multidisciplinary systematic scoping review on the advertisement and sale of illicit drugs to young people. Peer‐reviewed studies written in English, Spanish and French were searched for the period 2015 to 2022. We extracted data on users, drugs studied, rate of posts, terminology used and study methodology.Key FindingsA total of 56 peer‐reviewed papers were included. The analysis of these highlights the variety of drugs advertised and platforms used to do so. Various methodological designs were considered. Approaches to detecting illicit content were the focus of many studies as algorithms move from detecting drug‐related keywords to drug selling behaviour. We found that on average, for the studies reviewed, 13 in 100 social media posts advertise illicit drugs. However, popular platforms used by adolescents are rarely studied.ImplicationsPromotional content is increasing in sophistication to appeal to young people, shifting towards healthy, glamourous and seemingly legal depictions of drugs. Greater inter‐disciplinary collaboration between computational and qualitative approaches are needed to comprehensively study the sale and advertisement of illegal drugs on social media across different platforms. This requires coordinated action from researchers, policy makers and service providers.

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Section: The Need To Diversify Researchmentioning

confidence: 99%

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

Fuller,

Vasek,

Mariconti

et al. 2023

Drug and Alcohol Review

View full text Add to dashboard Cite

show abstract

“…Bitcoin Abuse offers similar functionalities 12 . These data sources are open source, easily accessible and sometimes record information over long periods of time (Gundur et al, 2021). The main issue with crowdsourced datasets of incidents is that these are recorded from non-probability samples, and the mode of production of these data may contribute to severe self-selection biases and overrepresentation of so-called 'super-contributors' (Solymosi and Bowers, 2018).…”

Section: Figure 1 'Funnel' Of Crime Datamentioning

confidence: 99%

Measuring Cybercrime and Cyberdeviance in Surveys

Buil‐Gil¹,

Trajtenberg²,

Aebi³

2023

Preprint

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Cybercrime is on the rise, and so is the need to systematically analyze its prevalence, distribution, causes, and consequences. While official records (mainly police, prosecution and court statistics) provide important information to explore online crime, they have been subject to extensive criticism due to the presence of measurement error arising from the combined influences of victims’ underreporting and recording practices. Consequently, researchers, crime analysts and policy makers are increasingly relying on estimates of cybercrime and cyberdeviance based on surveys. This chapter reviews the measures of cybercrime and cyberdeviance included in national crime surveys, including household and business victimization surveys and self-report offending surveys. The chapter describes, categorizes and compares measures included in surveys, and discusses opportunities and limitations to generate reliable and valid estimates to study cybercrime and cyberdeviance. Measures included in surveys do not capture the diversity of criminal and deviant behaviors that take place online, and some surveys only probe about certain frauds that may take place both on and offline. The chapter identifies opportunities for researchers to utilize existing data to advance our understanding of online victimization and offending, and provides methodological recommendations to improve the recording of cybercrime and cyberdeviance in existing surveys.

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Leveraging OSINT and Artificial Intelligence, Machine Learning to Identify and Protect Vulnerable Sections of Society

Panda,

Rungta

2023

Signals and Communication Technology

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Using Digital Open Source and Crowdsourced Data in Studies of Deviance and Crime

Cited by 6 publications

References 99 publications

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

Understanding and preventing the advertisement and sale of illicit drugs to young people through social media: A multidisciplinary scoping review

Measuring Cybercrime and Cyberdeviance in Surveys

Leveraging OSINT and Artificial Intelligence, Machine Learning to Identify and Protect Vulnerable Sections of Society

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