Patient-Made Knowledge Networks: Long COVID Discourse, Epistemic Injustice, and Online Community Formation
Tawfiq Ammari

TL;DR
This paper analyzes 2.8 million tweets to understand how Long COVID patients create knowledge networks, challenge medical authority, and form communities that influence recognition and policy through social media discourse.
Contribution
It introduces a comprehensive analysis of online discourse, revealing how patient communities construct knowledge and challenge epistemic injustice in the context of Long COVID.
Findings
Patients challenge medical gatekeeping and document symptoms.
Community roles include advocates, coordinators, and scientists.
Social media facilitates rapid recognition and coalition-building.
Abstract
Long COVID represents an unprecedented case of patient-led illness definition, emerging through Twitter in May 2020 when patients began collectively naming, documenting, and legitimizing their condition before medical institutions recognized it. This study examines 2.8 million tweets containing #LongCOVID to understand how contested illness communities construct knowledge networks and respond to epistemic injustice. Through topic modeling, reflexive thematic analysis, and exponential random graph modeling (ERGM), we identify seven discourse themes spanning symptom documentation, medical dismissal, cross-illness solidarity, and policy advocacy. Our analysis reveals a differentiated ecosystem of user roles -- including patient advocates, research coordinators, and citizen scientists -- who collectively challenge medical gatekeeping while building connections to established ME/CFS advocacy…
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Taxonomy
TopicsMental Health and Patient Involvement · Social Media in Health Education · Misinformation and Its Impacts
