We need process theories of how groups form dynamically on social media in response to news events. We perform an analytic ethnography of a case where groups formed on social media in response to incomplete news of an incident. The groups framed the incident in terms of existing narratives and called for action against those actors they perceived as the aggressors. Later, footage showed this framing to be inaccurate. Based on the analytic ethnography, we propose a computational model of how groups form in response to incomplete or inaccurate reports on social media.
CITATION STYLE
Flor, N. V., & Maestas, E. D. (2019). A Computational Model of Dynamic Group Formation on Social Media. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11578 LNCS, pp. 324–335). Springer Verlag. https://doi.org/10.1007/978-3-030-21902-4_23
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