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

Early Results from COVID-19 Studies (372) Infodemiology and Infoveillance (1615) Tools, Programs and Algorithms (423) Natural Language Processing (994) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1172) Infectious Diseases (non-STD/STI) (1768) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1547) Outbreak and Pandemic Preparedness and Management (1856) JMIR Theme Issue: COVID-19 Special Issue (2571) Bots and AI Approaches to Detect and Counter Misinformation (24)

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 .
The Plebeian Algorithm: A Democratic Approach to Censorship and Moderation

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 (1) Tweetations (3) Metrics

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