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Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities
Free and open‐source software projects have become essential digital infrastructure over the past decade. These projects are largely created and maintained by unpaid volunteers, presenting a potential vulnerability if the projects cannot recruit and retain new volunteers. At the same time, their dev...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287033/ https://www.ncbi.nlm.nih.gov/pubmed/35579857 http://dx.doi.org/10.1111/cogs.13134 |
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author | Paxton, Alexandra Varoquaux, Nelle Holdgraf, Chris Geiger, R. Stuart |
author_facet | Paxton, Alexandra Varoquaux, Nelle Holdgraf, Chris Geiger, R. Stuart |
author_sort | Paxton, Alexandra |
collection | PubMed |
description | Free and open‐source software projects have become essential digital infrastructure over the past decade. These projects are largely created and maintained by unpaid volunteers, presenting a potential vulnerability if the projects cannot recruit and retain new volunteers. At the same time, their development on open collaborative development platforms provides a nearly complete record of the community's interactions; this affords the opportunity to study naturally occurring language dynamics at scale and in a context with massive real‐world impact. The present work takes a dynamical systems view of language to understand the ways in which communicative context and community membership shape the emergence and impact of language use—specifically, sentiment and expressions of gratitude. We then present evidence that these language dynamics shape newcomers' likelihood of returning, although the specific impacts of different community responses are crucially modulated by the context of the newcomer's first contact with the community. |
format | Online Article Text |
id | pubmed-9287033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92870332022-07-19 Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities Paxton, Alexandra Varoquaux, Nelle Holdgraf, Chris Geiger, R. Stuart Cogn Sci Regular Articles Free and open‐source software projects have become essential digital infrastructure over the past decade. These projects are largely created and maintained by unpaid volunteers, presenting a potential vulnerability if the projects cannot recruit and retain new volunteers. At the same time, their development on open collaborative development platforms provides a nearly complete record of the community's interactions; this affords the opportunity to study naturally occurring language dynamics at scale and in a context with massive real‐world impact. The present work takes a dynamical systems view of language to understand the ways in which communicative context and community membership shape the emergence and impact of language use—specifically, sentiment and expressions of gratitude. We then present evidence that these language dynamics shape newcomers' likelihood of returning, although the specific impacts of different community responses are crucially modulated by the context of the newcomer's first contact with the community. John Wiley and Sons Inc. 2022-05-17 2022-05 /pmc/articles/PMC9287033/ /pubmed/35579857 http://dx.doi.org/10.1111/cogs.13134 Text en © 2022 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS). https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Regular Articles Paxton, Alexandra Varoquaux, Nelle Holdgraf, Chris Geiger, R. Stuart Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities |
title | Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities |
title_full | Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities |
title_fullStr | Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities |
title_full_unstemmed | Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities |
title_short | Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities |
title_sort | community, time, and (con)text: a dynamical systems analysis of online communication and community health among open‐source software communities |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287033/ https://www.ncbi.nlm.nih.gov/pubmed/35579857 http://dx.doi.org/10.1111/cogs.13134 |
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