[This is a placeholder landing page for my upcoming opinion piece, Saving Democracy from Social Media. It is to link to a fuller new presentation, as well as the existing material below.]
More information on democratizing filtering "middleware" (preliminary list):
- To come - the fuller new presentation.
- “How to Save Democracy From Technology" (Fukayama et. al.)
A quick note that refers to the Fukayama et. al. Foreign Affairs article, plus my prior work. - The Augmented Wisdom of Crowds: Rate the Raters and Weight the Ratings
Filtering methods, as central to a broad architecture for where we should be going in social media (and digital democracy more broadly), more comprehensive and powerful than any I have seen. (Based on my 2002 patent filing since released into the public domain.) - Architecting Our Platforms to Better Serve Us -- Augmenting and Modularizing the Algorithm
Filtering service openness, as part of broad solutions to openness, transparency, regulation, antitrust, and market forces in platform architecture. - Filtering for Serendipity -- Extremism, 'Filter Bubbles' and 'Surprising Validators'
How to address these specific concerns. - Don’t Swim Against the Tide of “Nuance Destruction”
(A short simple article published in Techonomy)
There are clear paths to creating quality-seeking algorithms. Computers can deal with nuance and mitigate conflict when programmers want them to.
See also this fuller list of my related items, along with supportive third party references.
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