Predictive Modelling of Protest Event Signatures: Analyzing Temporal Dynamics and Digital Activism Discourse Across Global Movements

This research introduced a predictive modeling framework to analyze the temporal dynamics of social media discourse during three global movements: the Mahsa Amini Protests (2022), South African Unrest (2021), and the Black Lives Matter Movement (2020). By utilizing Twitter data, the study developed...

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Autori principali:	Amila Chethana Nanayakkara, B. T. G. Samantha Kumara, R. M. Kapila Tharanga Rathnayaka
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Tsinghua University Press 2025-03-01
Serie:	Journal of Social Computing
Soggetti:	twitter analysis protest social media archetype black lives matter movement (blmm) (2020) south african unrest (2021) mahsa amini protests (2022) computational mathematics
Accesso online:	https://www.sciopen.com/article/10.23919/JSC.2025.0001
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