Health and toxicity in content moderation: the discursive work of justification
Name
Health and toxicity in content moderation the discursive work of justification.pdf
Size
1.67 MB
Format
Adobe PDF
Checksum (MD5)
26dc4816eb075d9075d687c3e2407fe2
Author(s) • •
Gibson, Anna D.
Docherty, Niall
Gillespie, Tarleton
Date Issued
December 12, 2023
Journal
Information, Communication & Society
Publisher
Taylor & Francis
Citation
Gibson, A. D., Docherty, N., & Gillespie, T. (2024). Health and toxicity in content moderation: the discursive work of justification. Information, Communication & Society, 27(7), 1441–1457.
Version
Final published version
Abstract
Within academia, industry, and government, the terms ‘health’ and ‘toxicity’ are widely used to describe and justify decisions around online content and its removal. However, the meanings of these terms are assumed to be self-evident and therefore are rarely examined. This article turns a critical eye to the health and toxicity metaphor to unpack its hidden political work. We trace the metaphor through three different discourses: the historical political economy of the term, the usage by cultural elites in the last two decades, and finally through its contemporary instrumental usage by volunteer content moderators on Facebook. By linking these discourses together, we argue that the metaphor of health and toxicity serves as a means for justification and legitimacy under contemporary neoliberalized orders that typically chafe at modes of public intervention and the language of democratic statecraft. Rather than elucidating the challenges of online content, we find that the metaphor often serves to obfuscate or sidestep the hardest problems in democratic governance. This analysis therefore has practical significance for researchers, policymakers, journalists, and other speakers that publicly traffic in this discourse at large.
MIT Department
Massachusetts Institute of Technology. Program in Comparative Media Studies/Writing
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1080/1369118X.2023.2291456