Producing trust among illicit actors: a techno-social approach to an online illicit market

Angus Bancroft*, Tim Squirrell, Andreas Zaunseder, Irene Rafanell

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)
    107 Downloads (Pure)

    Abstract

    Illicit market exchanges in cybercriminal markets are plagued by problems of verifiability and enforceability: trust is one way to ensure reliable exchange. It is fragile and hard to establish. One way to do that is to use the administrative structure of the market to control transactions. This is common among a specific type of market, darknet cryptomarkets. These are sites for the sale of illicit goods and services, hosted anonymously using the Tor darknet. However reliance on the technology and the market administrators exposes users to excessive risk. We examine a case of a market that rejects several key technological features now common in cryptomarkets, but is nonetheless reliable and robust. We apply a technosocial approach that looks at the way participants use and combine technologies with social relationships. Methods were designed to capture the interactional context of the illicit market. We aimed to examine both person to person interaction and the technical infrastructure the market relied on. We find that it maintains itself through a shared common security orientation, community participation in key decisions about products sold, performing trust signalling and lateral trust between members. There are implications for how resilience in cryptomarkets is understood.
    Original languageEnglish
    JournalSociological Research Online
    Early online date12 Nov 2019
    DOIs
    Publication statusE-pub ahead of print - 12 Nov 2019

    Keywords

    • Cryptomarkets
    • Darknet
    • Digital sociology
    • Drugs
    • Trust

    Fingerprint

    Dive into the research topics of 'Producing trust among illicit actors: a techno-social approach to an online illicit market'. Together they form a unique fingerprint.

    Cite this