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Cited by 7Social Media and PoliticsComplex Network Analysis TechniquesMisinformation and Its Impacts

Analyzing Political Information Network of the U.S. Partisan Public on Twitter

Chong, Miyoung·2018·Lecture Notes in Computer Science
DOI 10.1007/978-3-319-78105-1_50
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Crossref · 10.1007/978-3-319-78105-1_50

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Basic homophilous tendencies are very easy to find on most social media platforms.

    “On most social media platforms, basic homophilous tendencies are indeed very easy to find:”

    From Filter bubble (2019) · cites this paper as Chong, 2018

  • Twitter hashtags such as #MAGA or #resist attract highly homophilous and diametrically opposed participant groups.

    “it is unsurprising that Twitter hashtags such as #MAGA or #resist attract highly homophilous and diametrically opposed participant groups, for instance (Chong, 2018);”

    From Filter bubble (2019) · cites this paper as Chong, 2018

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  • Filter bubble

    Bruns, A. (2019) · Internet Policy Review · doi:10.14763/2019.4.1426 · Cited by 193 · see citing works

    “…unsurprising that Twitter hashtags such as #MAGA or #resist attract highly homophilous and diametrically opposed participant groups, for instance (Chong, 2018); similarly, it is to be expected that Facebook pages and groups with an explicit anti-vaccination agenda will mainly attract…”
    Background

Authors
Chong, M.
Affiliations
University of North Texas (US)
Corresponding author
Chong, Miyoung
ORCID
Chong, Miyoung
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2018
Pages
453-463
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-319-78105-1_50
OpenAlex
W2792012359
Cited by
7
References
1
Citations by year
2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 3
FWCI
4.83
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Social Sciences › Communication › Social Media and Politics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
Keywords
Twitter, hashtags, homophily, political communication, opinion leaders, betweenness centrality, electronic word of mouth, online political discourse

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