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A combined synchronization index for evaluating collective action social media

Social media has provided a citizen voice, giving rise to grassroots collective action, where users deploy a concerted effort to disseminate online narratives and even carry out offline protests. Sometimes these collective action are aided by inorganic synchronization, which arise from bot actors. I...

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Detalles Bibliográficos
Autores principales: Ng, Lynnette Hui Xian, Carley, Kathleen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809510/
https://www.ncbi.nlm.nih.gov/pubmed/36620080
http://dx.doi.org/10.1007/s41109-022-00526-3
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author Ng, Lynnette Hui Xian
Carley, Kathleen M.
author_facet Ng, Lynnette Hui Xian
Carley, Kathleen M.
author_sort Ng, Lynnette Hui Xian
collection PubMed
description Social media has provided a citizen voice, giving rise to grassroots collective action, where users deploy a concerted effort to disseminate online narratives and even carry out offline protests. Sometimes these collective action are aided by inorganic synchronization, which arise from bot actors. It is thus important to identify the synchronicity of emerging discourse on social media and the indications of organic/inorganic activity within the conversations. This provides a way of profiling an event for possibility of offline protests and violence. In this study, we build on past definitions of synchronous activity on social media— simultaneous user action–and develop a Combined Synchronization Index (CSI) which adopts a hierarchical approach in measuring user synchronicity. We apply this index on six political and social activism events on Twitter and analyzed three action types: synchronicity by hashtag, URL and @mentions.The CSI provides an overall quantification of synchronization across all action types within an event, which allows ranking of a spectrum of synchronicity across the six events. Human users have higher synchronous scores than bot users in most events; and bots and humans exhibits the most synchronized activities across all events as compared to other pairs (i.e., bot-bot and human-human). We further rely on the harmony and dissonance of CSI-Network scores with network centrality metrics to observe the presence of organic/inorganic synchronization. We hope this work aids in investigating synchronized action within social media in a collective manner.
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spelling pubmed-98095102023-01-04 A combined synchronization index for evaluating collective action social media Ng, Lynnette Hui Xian Carley, Kathleen M. Appl Netw Sci Research Social media has provided a citizen voice, giving rise to grassroots collective action, where users deploy a concerted effort to disseminate online narratives and even carry out offline protests. Sometimes these collective action are aided by inorganic synchronization, which arise from bot actors. It is thus important to identify the synchronicity of emerging discourse on social media and the indications of organic/inorganic activity within the conversations. This provides a way of profiling an event for possibility of offline protests and violence. In this study, we build on past definitions of synchronous activity on social media— simultaneous user action–and develop a Combined Synchronization Index (CSI) which adopts a hierarchical approach in measuring user synchronicity. We apply this index on six political and social activism events on Twitter and analyzed three action types: synchronicity by hashtag, URL and @mentions.The CSI provides an overall quantification of synchronization across all action types within an event, which allows ranking of a spectrum of synchronicity across the six events. Human users have higher synchronous scores than bot users in most events; and bots and humans exhibits the most synchronized activities across all events as compared to other pairs (i.e., bot-bot and human-human). We further rely on the harmony and dissonance of CSI-Network scores with network centrality metrics to observe the presence of organic/inorganic synchronization. We hope this work aids in investigating synchronized action within social media in a collective manner. Springer International Publishing 2023-01-03 2023 /pmc/articles/PMC9809510/ /pubmed/36620080 http://dx.doi.org/10.1007/s41109-022-00526-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Ng, Lynnette Hui Xian
Carley, Kathleen M.
A combined synchronization index for evaluating collective action social media
title A combined synchronization index for evaluating collective action social media
title_full A combined synchronization index for evaluating collective action social media
title_fullStr A combined synchronization index for evaluating collective action social media
title_full_unstemmed A combined synchronization index for evaluating collective action social media
title_short A combined synchronization index for evaluating collective action social media
title_sort combined synchronization index for evaluating collective action social media
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809510/
https://www.ncbi.nlm.nih.gov/pubmed/36620080
http://dx.doi.org/10.1007/s41109-022-00526-3
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