Loyalty in Online Communities
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Abstract (arXiv)
Loyalty is an essential component of multi-community engagement. When users have the choice to engage with a variety of different communities, they often become loyal to just one, focusing on that community at the expense of others. However, it is unclear how loyalty is manifested in user behavior, or whether loyalty is encouraged by certain community characteristics. In this paper we operationalize loyalty as a user-community relation: users loyal to a community consistently prefer it over all others; loyal communities retain their loyal users over time. By exploring this relation using a large dataset of discussion communities from Reddit, we reveal that loyalty is manifested in remarkably consistent behaviors across a wide spectrum of communities. Loyal users employ language that signals collective identity and engage with more esoteric, less popular content, indicating they may play a curational role in surfacing new material. Loyal communities have denser user-user interaction networks and lower rates of triadic closure, suggesting that community-level loyalty is associated with more cohesive interactions and less fragmentation into subgroups. We exploit these general patterns to predict future rates of loyalty. Our results show that a user's propensity to become loyal is apparent from their first interactions with a community, suggesting that some users are intrinsically loyal from the very beginning.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Mar 2017.
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Citing papers per year: 2021: 5; 2022: 5; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
12 papers.
- 2021Characterizing English Variation across Social Media Communities with BERTcited by 20
- 2022MentorGNN: Deriving Curriculum for Pre-Training GNNscited by 18
- 2021The structure of online social networks modulates the rate of lexical changecited by 8
- 2022Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussionscited by 8
- 2021Deeper-GXX: Deepening Arbitrary GNNscited by 7
- 2021Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gendercited by 4
- 2026Social Simulacra in the Wild: AI Agent Communities on Moltbookcited by 4
- 2023With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaignscited by 2
- 2021Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Mediacited by 1
- 2022This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaigncited by 1
- 2022We Are in This Together: Quantifying Community Subjective Wellbeing and Resiliencecited by 0
- 2022gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUscited by 0
- 2026Social Simulacra in the Wild: AI Agent Communities on Moltbook17 Mar 2026
- 2023With Flying Colors: Predicting Community Success in Large-scale Collaborative Campaigns18 Jul 2023
- 2022gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs20 Oct 2022
- 2022We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience23 Aug 2022
- 2022MentorGNN: Deriving Curriculum for Pre-Training GNNs21 Aug 2022
- 2022Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussions22 Apr 2022
- 2022This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign14 Jan 2022
- 2021Deeper-GXX: Deepening Arbitrary GNNs26 Oct 2021
- 2021Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender22 Sep 2021
- 2021Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media17 May 2021
- 2021The structure of online social networks modulates the rate of lexical change11 Apr 2021
- 2021Characterizing English Variation across Social Media Communities with BERT12 Feb 2021