Examining the evolution of the Twitter elite network
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Most existing research has a strong emphasis on distinguishing between fake news and factual news.
“most of the existing research has a strong emphasis on distinguishing between fake news and factual news (de Souza et al., 2020;Helmstetter & Paulheim, 2018;Masciari et al., 2020;Zervopoulos et al., 2020)”
From The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions (2022) · cites this paper as de Souza et al., 2020
Cites
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“…et al. 2016), estimation of their user population (e.g., Rejaie et al. 2010), migration of users between different OSNs (e.g., Torkjazi et al. 2009), the exchange of information among their users (e.g., Vala-far et al. 2009), and how their users influence each other (e.g., Cha et al. 2010).”
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Self-citation
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Carrasco-Farré, C. (2022) · Humanities and Social Sciences Communications · doi:10.1057/s41599-022-01174-9 · Cited by 84 · see citing works
- Authors
- Motamedi, R., Jamshidi, S., Rejaie, R., & Willinger, W.
- Affiliations
- University of Oregon (US)
- Corresponding author
- Rejaie, Reza
- Venue
- Social Network Analysis and Mining
- Published
- 2019-11-27
- Volume
- 10
- Issue
- 1
- ISSN
- 1869-5450 (ISSN-L)
- 1869-5469
- OpenAlex
- W2996451497
- Cited by
- 50
- References
- 26
- Citations by year
- 2025: 8 · 2024: 8 · 2023: 10 · 2022: 11 · 2021: 9 · 2020: 4
- FWCI
- 2.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Network Analysis and Mining (publishedVersion)
- Funders
- National Science Foundation (CNS-1320977, IIS-0917381)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Communication › Knowledge Management and Sharing
- Keywords
- network evolution, community structure, social media
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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