mlsanityData to 7 Oct 2026

Community Identity and User Engagement in a Multi-Community Landscape

arXiv 1705.09665 ↗First posted 26 May 2017cs.SI cs.CL cs.CYcited by 18

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Abstract (arXiv)

A community's identity defines and shapes its internal dynamics. Our current understanding of this interplay is mostly limited to glimpses gathered from isolated studies of individual communities. In this work we provide a systematic exploration of the nature of this relation across a wide variety of online communities. To this end we introduce a quantitative, language-based typology reflecting two key aspects of a community's identity: how distinctive, and how temporally dynamic it is. By mapping almost 300 Reddit communities into the landscape induced by this typology, we reveal regularities in how patterns of user engagement vary with the characteristics of a community. Our results suggest that the way new and existing users engage with a community depends strongly and systematically on the nature of the collective identity it fosters, in ways that are highly consequential to community maintainers. For example, communities with distinctive and highly dynamic identities are more likely to retain their users. However, such niche communities also exhibit much larger acculturation gaps between existing users and newcomers, which potentially hinder the integration of the latter. More generally, our methodology reveals differences in how various social phenomena manifest across communities, and shows that structuring the multi-community landscape can lead to a better understanding of the systematic nature of this diversity.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 May 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 2; 2023: 5; 2024: 2; 2025: 2; 2026: 5.

18 papers.

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  1. 2025Culture is Not Trivia: Sociocultural Theory for Cultural NLPcited by 40
  2. 2024AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filterscited by 21
  3. 2021Characterizing English Variation across Social Media Communities with BERTcited by 20
  4. 2023Where Do People Tell Stories Online? Story Detection Across Online Communitiescited by 16
  5. 2022Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publicationscited by 14
  6. 2023Personalized Jargon Identification for Enhanced Interdisciplinary Communicationcited by 11
  7. 2021The structure of online social networks modulates the rate of lexical changecited by 8
  8. 2023Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Redditcited by 5
  9. 2023Social Meme-ing: Measuring Linguistic Variation in Memescited by 5
  10. 2026Social Simulacra in the Wild: AI Agent Communities on Moltbookcited by 4
  11. 2025Research Borderlands: Analysing Writing Across Research Culturescited by 3
  12. 2023With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaignscited by 2
6 more
  1. 2022This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaigncited by 1
  2. 2024Inside the echo chamber: Linguistic underpinnings of misinformation on Twittercited by 1
  3. 2026Reddit After Roe: A Computational Analysis of Abortion Narratives and Barriers in the Wake of Dobbscited by 1
  4. 2026Characterizing Cultural Localization in AI-Generated Storiescited by 0
  5. 2026The Garden of Forking Prompts: How Users Explore Narrative Space in Story Generationcited by 0
  6. 2026Finding Common Ground: Graded Communal Knowledge in Bluesky Starter Packscited by 0