Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities
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Abstract (arXiv)
When large social-media platforms allow users to easily form and self-organize into interest groups, highly related communities can arise. For example, the Reddit site hosts not just a group called food, but also HealthyFood, foodhacks, foodporn, and cooking, among others. Are these highly related communities created for similar classes of reasons (e.g., to focus on a subtopic, to create a place for allegedly more "high-minded" discourse, etc.)? How do users allocate attention between such close alternatives when they are available or emerge over time? Are there different types of relations between close alternatives such as sharing many users vs. a new community drawing away members of an older one vs. a splinter group failing to cohere into a viable separate community? We investigate the interactions between highly related communities using data from reddit.com consisting of 975M posts and comments spanning an 8-year period. We identify a set of typical affixes that users adopt to create highly related communities and build a taxonomy of affixes. One interesting finding regarding users' behavior is: after a newer community is created, for several types of highly-related community pairs, users that engage in a newer community tend to be more active in their original community than users that do not explore, even when controlling for previous level of engagement.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Dec 2016.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 2; 2025: 1; 2026: 1.
6 papers.
- 2024ComPO: Community Preferences for Language Model Personalizationcited by 19
- 2024ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactionscited by 12
- 2026Social Simulacra in the Wild: AI Agent Communities on Moltbookcited by 4
- 2021PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Countscited by 3
- 2023Modeling Random Networks with Heterogeneous Reciprocitycited by 0
- 2025Efficient Approximate Temporal Triangle Counting in Streaming with Predictionscited by 0
- 2026Social Simulacra in the Wild: AI Agent Communities on Moltbook17 Mar 2026
- 2025Efficient Approximate Temporal Triangle Counting in Streaming with Predictions16 Jun 2025
- 2024ComPO: Community Preferences for Language Model Personalization21 Oct 2024
- 2024ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions2 Jul 2024
- 2023Modeling Random Networks with Heterogeneous Reciprocity19 Aug 2023
- 2021PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts18 Jan 2021