Shared community memberships increase common ground in social media users
Finding Common Ground: Graded Communal Knowledge in Bluesky Starter Packs
Social and Information NetworksComputation and Language
Summary
Communication depends on what people already know together. The authors studied online communities on Bluesky by looking at user labels called starter packs, which show which groups people belong to. They found that the more group labels two users share, the more similar their language is, meaning they have more common ground to understand each other. This similarity grows especially when the groups are very different from each other, not just many groups overall. Knowing these community memberships helps predict common ground independently of who follows whom.
What this means in practice
- •For social media platform designers: Design user interfaces that highlight shared community labels to improve communication and connection between users before interaction.
- •For online community managers: Use community affiliation labels to identify and support overlapping member groups, fostering stronger shared understanding and engagement.
Tested on one dataset.
Authors
Sagar Kumar, Lawrence Swaminathan Xavier Prince, Julia Mendelsohn, Brooke Foucault Welles, Nicholas W. Landry
Abstract
Communication is made possible by common ground---the unspoken knowledge that people share and presuppose of one another, whether that be online or offline. In his conception of common ground, Clark (1996) distinguishes between personal and communal common ground, and asserts that the latter is graded: the more community affiliations two people share, the more common ground they share as well. Social media research has invoked this mechanism to explain how users connect, but it has gone largely untested because community memberships are rarely visible and, where they are, they are coupled to user interactions in a way that leads to conflating effects. To circumvent these challenges, this study repurposes Bluesky starter packs (SPs) as user-curated community affiliation labels. Across 191,648 pairs of users, we show that shared lexical repertoire---our proxy for common ground---grows monotonically with the number of SPs that users share, with users sharing a single pack being roughly twice as similar as equally connected strangers. A semantic renormalization of SP co-membership shows furthermore that it is more so the number of topically \emph{distinct} communities, rather than the raw count, in which common ground is graded. Finally, we show that community co-membership adds to common ground independently of proximity in the Bluesky follow network. These results lead to the conclusion that community membership is a measurable, separable, and semantically structured carrier of common ground. Reading it as such makes common ground observable before an exchange rather than inferred from it, and thus opens the door for large-scale observational approaches to a set of questions that have so far only been posed in the laboratory.