The Emergence of Conventions in Online Social Networks
Open accessAbstract
The way in which social conventions emerge in communities has been of interest to social scientists for decades. Here we report on the emergence of a particular social convention on Twitter—the way to indicate a tweet is being reposted and to attribute the content to its source. Initially, different variations were invented and spread through the Twitter network. The inventors and early adopters were well-connected, active, core members of the Twitter community. The diffusion networks of these conventions were dense and highly clustered, so no single user was critical to the adoption of the conventions. Despite being invented at different times and having different adoption rates, only two variations came to be widely adopted. In this paper we describe this process in detail, highlighting insights and raising questions about how social conventions emerge.
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These dynamics reflect common types of online interactions where community members engage with a large anonymous population, leading to adoption of linguistic and behavioral conventions.
“These dynamics reflect common types of online interactions where community members engage directly with a large, often anonymous population, using chat interfaces or messaging technologies, leading to the adoption of linguistic and behavioral conventions that enable effective coordination with other participants’ expectations (9, 23, 52, 53).”
From Emergent social conventions and collective bias in LLM populations (2025) · cites this paper as [53]
The Introduction and Methodology describe the emergence and widespread adoption of retweeting conventions in a large Twitter community. The paper does not establish that participants engaged directly with a large, often anonymous population through chat or messaging, or that adopting the convention enabled coordination with others’ expectations. (LLM, conf=0.84)
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- Authors
- Kooti, F., Yang, H., Cha, M., Gummadi, K., & Mason, W.
- Affiliations
- Max Planck Institute for Software Systems (DE)
- Korea Advanced Institute of Science and Technology (KR)
- Stevens Institute of Technology (US)
- Venue
- Proceedings of the International AAAI Conference on Web and Social Media
- Published
- 2021-08-03
- Volume
- 6
- Issue
- 1
- Pages
- 194-201
- ISSN
- 2162-3449 (ISSN-L)
- 2334-0770
- OpenAlex
- W1814109117
- Cited by
- 80
- References
- 31
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 8 · 2020: 3 · 2019: 2 · 2018: 6 · 2017: 6 · 2016: 11 · 2015: 12 · 2014: 13 · 2013: 10 · 2012: 3
- FWCI
- 4.17
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Proceedings of the International AAAI Conference on Web and Social Media (publishedVersion)
- AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Research Foundation
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Computer Science › Human-Computer Interaction › Digital Communication and Language
- Social Sciences › Communication › Social Media and Politics
- Keywords
- social conventions, convention emergence, Twitter, retweets, diffusion of innovations, early adopters, network centrality, social networking sites, community norms
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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