Content Moderation and the Formation of Online Communities: A Theoretical Framework

TL;DR

This paper develops a theoretical framework to analyze how content moderation policies influence online community participation, content diversity, and platform competition, revealing nuanced and sometimes counter-intuitive effects.

Contribution

It introduces a mathematically tractable model that captures the complex effects of moderation policies on community stability, participation, and content diversity, considering resource limitations and platform competition.

Findings

Moderation policies can increase participation and diversify content.

Content moderation effectiveness depends on platform resources and ideological goals.

Platforms' moderation strategies influence community stability and competition.

Abstract

We study the impact of content moderation policies in online communities. In our theoretical model, a platform chooses a content moderation policy and individuals choose whether or not to participate in the community according to the fraction of user content that aligns with their preferences. The effects of content moderation, at first blush, might seem obvious: it restricts speech on a platform. However, when user participation decisions are taken into account, its effects can be more subtle $\unicode{x2013}$ and counter-intuitive. For example, our model can straightforwardly demonstrate how moderation policies may increase participation and diversify content available on the platform. In our analysis, we explore a rich set of interconnected phenomena related to content moderation in online communities. We first characterize the effectiveness of a natural class of moderation policies for creating and sustaining stable communities. Building on this, we explore how resource-limited or ideological platforms might set policies, how communities are affected by differing levels of personalization, and competition between platforms. Our model provides a vocabulary and mathematically tractable framework for analyzing platform decisions about content moderation.