#Occupywallstreet: An Analysis of Twitter Usage during a Protest Movement

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ISSN Print: 2169-3285
ISSN Online: 2169-3323
www.scirp.org/journal/sn
E-mail: sn@scirp.org

"#Occupywallstreet: An Analysis of Twitter Usage during a Protest Movement"
written by Zuoming Wang, Kara Caskey,
published by Social Networking, Vol.5 No.4, 2016

has been cited by the following article(s):

[1]	The Impact of Social Networks on the Protests in Chile, Ecuador and Colombia during 2019.
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[2]	TINDAKAN KOLEKTIF MASYARAKAT JARINGAN DI INDONESIA: AKTIVISME SOSIAL MEDIA PADA AKSI# GEJAYANMEMANGGIL
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[3]	Adoption of Hashtags in Social Media: Achieving Peace or Inciting Violence?
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[4]	The framing of environmental citizenship and youth participation in the Fridays for Future Movement in Finland.
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[5]	A Framework to Capture the Shift in Dynamics of a Multi-phase Protest—A Case Study of Hong Kong Protests
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[6]	The Effect of Scientific Argumentation on Climate Activism on Twitter
	2020

[7]	How Kenyans on Twitter use visuals as a form of political protest
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[8]	A Critical Analysis of the Applications and Limitations of Organizational Network Analysis in the Workplace to Drive Organizational Change
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[9]	The Role and Impact of Social Media in Protesting Oppression in Venezuela
	2019

[10]	Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results
	2019

[11]	Impact of Social Media on Social Movements An Analysis of Two Student Social Movements in India
	2018

[1]	Multi-contextual learning in disinformation research: A review of challenges, approaches, and opportunities Online Social Networks and Media, 2023 DOI:10.1016/j.osnem.2023.100247

[2]	TINDAKAN KOLEKTIF MASYARAKAT JARINGAN DI INDONESIA: AKTIVISME SOSIAL MEDIA PADA AKSI #GEJAYANMEMANGGIL Interaksi: Jurnal Ilmu Komunikasi, 2022 DOI:10.14710/interaksi.11.1.25-34

[3]	Emerging Technologies in Data Mining and Information Security Lecture Notes in Networks and Systems, 2021 DOI:10.1007/978-981-15-9774-9_10

[4]	Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results Complexity, 2019 DOI:10.1155/2019/8750643

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