Social Network Algorithms Are Distorting Reality by Boosting Conspiracy Theories

TL;DR: Recommendations systems cannot be indifferent to truth.

Some related concepts:

1. Donella Meadows, in Thinking in Systems, notes that an absolute requirement of an effective and healthy system is accurate feedback and information. Media which are indifferent to truth value, or which actively promote distortion (see Robert Proctor's term, agnotology), will actively harm the system.

2. Celine's 2nd law, and inversion. In Robert Anton Wilson's Illuminatus! trilogy, a character notes that "accurate information is possible only in a non-punishing situation". Its inverse is also true: acurate information is only possible when it is accuracy itself and ONLY accuracy which is rewarded. Academic publishing, in which paper output and journal selection is a gateway determinant of professional careers, would be an instance of this. Or the long skew of The Learning Channel from NASA-PBS educational co-production to Honey Boo-Boo broadcaster.

3. Paperclip Maximizer. "Don't be evil" isn't good enough. You've got to actively seek out good. Even a benign maximisation goal will, if not tempered by requirements to provide net benefit, lead to catastrophic results.

4. Mancur Olson's "The Logic of Collective Action" explains how and why small (but motivated) fringe groups can achieve goals directly opposed to the interests of far larger groups. This explains a great deal of market and political dysfunction.

5. A generalisation of Gresham's Law leads to the realisation that understanding of complex truths is itself expensive. It's also (Dunning-Kruger) beyond the capability of much of the population. This also has some rather dismal implications, though as William Ophuls notes, political theory based on the assumption that all the children can be above average ("the Lake Wobegon effect") are doomed. You dance with the dunce what brung ya.

Social media are being flagrantly self-serving and destructive.