Safety messages about drugs and sex are already routinely misidentified and removed from social media platforms. The proposed bill would take this further.
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Social apps like Instagram, TikTok and Facebook are designed to be addictive. What would they look like if we removed the worst features?
A study of US state legislators found that posting misinformation online was a winning strategy for boosting a politician’s visibility – but not for Democrats.
Algorithms that amplify or suppress particular kinds of messages should be seen as a source of harm.
Top contributors
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Contract Faculty, Communication & Media Studies, York University, Canada
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Professor of Computing and Information, University of Pittsburgh
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Associate Dean, Interaction, Technology and Information, RMIT University
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Professor & Director, Hub for Apple Platform Innovation (HAPI), School of Computing Technologies, RMIT University
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PhD Candidate, ANU School of Regulation and Global Governance (RegNet), Australian National University
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Professor, Deakin Law School, Deakin University
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Research Fellow, National Drug Research Institute, Curtin University; UNSW ; Burnet Institute
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Professor of Media and Communication and Chief Investigator, ARC Centre of Excellence for Automated Decision-Making + Society, Swinburne University of Technology