Social Protocols

Essays on the design of social protocols for improving public discourse

Deliberative Consensus Protocols

Introduction: Scalable Group Decision-Making A deliberative consensus protocol is a process that online groups can use to make decisions. It’s designed to produce good decisions that are fair and manifest the collective intelligence of the group. And it’s designed to work at scale. This is not easy. Once a group gets large enough, people will start trying to manipulate the results. And even if everyone acts in good faith, it is hard for a large group to agree even on basic facts, let alone optimal decisions.

Understanding Community Notes and Bridging-Based Ranking

UPDATE: See a discussion of this article on Hacker News.

Introduction

Bridging-Based Ranking is a way of scoring and ranking online content that bridges divides.

The term “Bridging-Based Ranking” was introduced in this essay by Aviv Ovadya of the Harvard Kennedy School Belfer Center. In his essay Ovadya explains how social media algorithms today tend to promote polarization and division. But it doesn’t have to be this way. Instead of promoting divisive comment that triggers people’s tribal instincts, couldn’t the algorithms help find and promote areas of common ground?

Multi-Factor Community Notes

Introduction In my article on Understanding Community Notes, I describe the basic Matrix Factorization algorithm used to identify notes that are helpful despite user polarization. In this article, I introduce a way to break this algorithm and describe an variation of the algorithm that uses 2-factor Matrix factorization. Breaking the Algorithm The algorithm uses Matrix Factorization to find a latent factor that best explains the variation among users’ votes. It assumes that this latent factor corresponds to some sort of polarization within the community.

What Deserves Our Attention?

Every online community has rules that determine how the attention of the community is directed. For example in an online forum, the most up-voted posts may be shown on at the top of the page. This rule concentrates attention on popular content. But this is a terrible rule. It creates perverse incentives for people to share content that people will reflexively upvote based on first impressions. It encourages shallow conversation on lowbrow topics.

Game Theory

The Law of Attention

Part of the Game Theory in Social Media series

In this article, I argue that we can apply game theory to explain and control the behaviors that dominate in an online community. Not only can game theory explain why misinformation and abuse are so common in social platforms, it can be used to design social platforms that will be filled with honest, informed, civil, and behavior. Attention Games “If a tree falls in a forest and no one is around to hear it, does it make a sound?

Game Theory

Truthtelling Games

Part of the Game Theory in Social Media series

In this article, I will use game theory to explain why, under certain conditions, otherwise dishonest Internet people will behave with scrupulous honesty, and how social platforms can be intentionally engineered to create these conditions.

Game Theory

Give Truth the Advantage

Part of the Game Theory in Social Media series

Everyone knows that the infamous social media algorithms promote the spread of false and misleading information on the Internet. But could they be engineered to do the opposite?

Intelligent Social Networks

We depend on other people for most of what we know about the world. I can observe for myself that the sun rises in the east, but I have never been to Cleveland; I believe it exists because other people do.

Moderation as Consensus

In this article I argue that a decentralized community moderation system can be seen as is a kind of consensus protocol, similar to those used to secure blockchains; and that such a protocol can be designed to produce a Nash equilibrium where users reliably enforce a commonly-understood set of community standards of relevance and civility. The Fundamental Moderation Problem Most casual users of social media have no idea of the magnitude of the moderation problem.

The Deliberative Poll

A deliberative poll measures the informed opinion of a group of people who have participated in a discussion about the topic of the poll. This essay introduces a method for integrating deliberative polling into online discussions in social platforms, in order to discover the informed opinion of a group.

Truth in the Time of Coronavirus

Many of us struggle to separate the information from the misinformation on social media, especially in the past weeks and months as we seek facts regarding COVID-19. The platforms themselves do not help much. It seems increasingly clear that the algorithms used to determine which posts and tweets show up at the top of your feed, having been optimized for engagement, are inadvertently optimized for misinformation. But social media is still useful, because accurate information does spread too.

The Decision Engine and Prediction Markets

Today I have been thinking about Prediction Markets, and thought I would share some thoughts on how the Decision Engine could be designed to behave very much like a Prediction Market. If you aren’t familiar with prediction markets, check out this explanation from Argon Group. Verifiable Events Prediction markets rely on events that will at some point in the future be objectively and unambiguously verifiable (e.g. who won a game, who was elected president).

Example Decision Engine Process Walkthrough

In my last post, I introduced the general idea behind the decision engine. This post walks you through an example of what the decision engine might look like from a user’s point of view, and hopefully give you an idea of how it could result in more intelligent group conversations. You see a screen that says: Consider the following statement: "Romney would make a better President than Obama" Do you:

Introducing the "Decision Engine"

My big project right now is something called a “decision engine”. Put simply, a decision engine is: "a conversation-based process for group decision making" At its simplest it is a comments system that facilitates better online discourse, by adding a layer of structure and process designed to unlock the potential of the group to arrive at positive, useful results -- a mechanism for aggregating the collective intelligence of a group. The process helps ensures that the contributions of each individual are fairly considered by other members of the group, so that relevant information and useful arguments are surfaced and discussed.