Grooming of children online is a legally punishable form of child sexual abuse. In the UK, for instance, the Serious Crime Act makes it a criminal offence for an adult to send a sexual message to a child. The incidence of this offence is known to be …
The presentation will discuss the use of Corpus Assisted Discourse Studies (CADS) as an interdisciplinary methodology in order to explore how identity of individuals and groups is generated in digital environments, with a focus on how trust is …
In this presentation we will describe a research programme that uses Corpus Assisted Discourse Studies (CADS) as an interdisciplinary methodology in order to explore how individuals and groups generate trust in digital environments that operate extra-judicially. Two case studies are selected to this end: selling drugs in the Dark Net and sexually grooming children online. Whilst clearly different in terms of the illegal activities performed, both contexts centrally involve attempts at generating trust discursively.
In this presentation we will describe a research programme that uses CADS as an interdisciplinary methodology in order to explore one of the most widely debated and complex questions of our digital society: how do individuals and groups seek to …
This study uses a Corpus Assisted Discourse Studies methodology to provide the first systematic analysis of how trust is discursively constructed in crypto-drug markets. The data come from two purpose-built corpora. One comprises all the forum …
The application of Corpus Linguistics to the concept of innovation in crypto-drug markets
This Situation Analysis is a methodological paper intended to supplement the research findings presented in GDPO Policy Brief 11, Horton-Eddison, M. & Di Cristofaro, M., Hard Interventions and Innovation in Crypto-Drug Markets. This analysis shows the application of Corpus Linguistics methodology and of CADS (Corpus-Assisted Discourse Studies) approach to data extracted from Crypto-Drug Market (CDM) communities. The aim is twofold: First, to demonstrate how the analysis of textual data created by CDM users can help pin-point the impact that ‘real-life’ events (in this case, the FBI’s seizure and closure of Silk Road, and the theft of a substantial amount of Bitcoin on Silk Road 2) have on online crypto-communities.
KEY POINTS
Comparative analysis of mass data crawled from Silk Road and Silk Road 2.0 reveals that there is some evidence to corroborate assertions that ‘hard’ law enforcement practices may contribute to the adoption of specific technological innovations in crypto-drug markets Specifically, the study applied a corpus linguistics assisted discourse analysis methodology to crypto-drug market community attitudes toward escrow technologies. Although a subsequent theft of Bitcoin held in Silk Road 2.