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This paper is in the following e-collection/theme issue:

Early Results from COVID-19 Studies (466) Infodemiology and Infoveillance (2055) Tools, Programs and Algorithms (616) Natural Language Processing (1355) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1433) Infectious Diseases (non-STD/STI) (1961) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (2033) Outbreak and Pandemic Preparedness and Management (1981) JMIR Theme Issue: COVID-19 Special Issue (4239) Bots and AI Approaches to Detect and Counter Misinformation (30)

Published on in Vol 5, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32427, first published .
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The Plebeian Algorithm: A Democratic Approach to Censorship and Moderation

The Plebeian Algorithm: A Democratic Approach to Censorship and Moderation

Authors of this article:

Benjamin Fedoruk1 Author Orcid Image ;   Harrison Nelson2 Author Orcid Image ;   Russell Frost3 Author Orcid Image ;   Kai Fucile Ladouceur4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Liu Y, Yue Z. Online COVID-19 Misinformation and Infodemic Governance During the Peak Pandemic Period: Scoping Review of Social Media Research From 2020 to 2022. JMIR Infodemiology 2026;6:e79434 View

Conference Proceedings

  1. Ding X. Proceedings of the 2nd International Conference on Artificial Intelligence, Digital Media Technology and Social Computing. Detecting AI-Generated News: A Comparative Study of Machine Learning and Large Language Models View