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Last updated Jul 14, 2021 Edit Source

# Types of Communities

  1. Interest-based → same interests/passions
  2. Location-based → same geographical location, place of work, etc.
  3. Vibe-based → group energy
  4. Circumstance-based → external influence, put into the same group

Can we ever have fully digital commons?

How large can communities get before they decay? Relevant: group limits, in-group bias

# Turing Test for communities

heuristic from Austin Wu

A very computational view of communities but is it possible to test for value alignment within a community like a Turing Test? If the community feels and behaves like a person, then its values are aligned?

How do we quantify this if vibes are unoptimizable?

See also: Turing Test

# 90/9/1 Rule

The “90–9–1” version of this rule states that for websites where users can both create and edit content, 1% of people create content, 9% edit or modify that content, and 90% view the content without contributing.

Was called “participation inequality” by researchers at AT&T labs

the 80/20 rule known as the Pareto principle states that 20 percent of a group will produce 80 percent of the activity, however the activity is defined.

a type of power law (zipf’s law)

Size of the community might matter? a form of Dunbar’s Number e.g.

though size might just be a proxy for sense of belonging in a group. i.e. if you strongly identify with said group (family) you are more likely to participate and contribute

in larger communities then, the approximately normal distribution of people who are engaged in the community may lead to some type of power law

# Expanding circles of trust

Getting people sitting on the outside circle to suggest activities that would make them feel included.

Having things be opt-in gives them power