The data subject and the myth of the 'black box' data communication and critical data literacy as a resistant practice to platform exploitation

• Published in: Information, communication & society Vol. 27; no. 2; pp. 333 - 349
• Main Authors: Nguyen, Dennis, Beijnon, Bjorn
• Format: Journal Article
• Language: English
• Published: Abingdon Routledge 25.01.2024; Taylor & Francis Ltd
• Subjects: Algorithms; Appropriations; Big Tech; Black boxes; Boxing; Colonization; Communication; Companies; critical data literacy; Data; Data communication; data identities; data practices; Ethical standards; Ethics; Exploitation; Information literacy; Interfaces; Literacy; Metaphor; Platforms; Resilience; Trade
• ISSN: 1369-118X; 1468-4462
• DOI: 10.1080/1369118X.2023.2205504

This conceptual paper explores the role of communication around data practices of Big Tech companies. By critiquing communication practices, we argue that Big Tech platforms shape users into data subjects through framing, influencing behaviour, and the black-boxing of algorithms. We approach communication about data from three perspectives: (1) current data communication constructs reductive data identities for users and contributes to the colonization of daily routines; (2) by strategically deploying the black box metaphor, tech companies try to legitimize abuses of power in datafication processes; (3) the logic in which communication is mediated through the interfaces of Big Tech platforms is normalizing this subjectification. We argue that critical data literacy can foster individual resilience and allows users to resist exploitative practices, but this depends on transparent communication. The opposite seems standard among tech companies that obfuscate their data practices. Current commercial appropriations of data ethics need to be critically assessed against the background of increasing competition in the digital economy.