Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections

The past few years were marked by increased online offensive strategies perpetrated by state and non-state actors to promote their political agenda, sow discord, and question the legitimacy of democratic institutions in the US and Western Europe. In 2016, the US congress identified a list of Russian...

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Veröffentlicht in:	Psychometrika Jg. 87; H. 1; S. 156 - 187
Hauptverfasser:	Golino, Hudson, Christensen, Alexander P., Moulder, Robert, Kim, Seohyun, Boker, Steven M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2022 Springer Nature B.V
Schlagworte:	Algorithms Animals Application Reviews and Case Studies Assessment Behavioral Science and Psychology Female Humanities Humans Law Monte Carlo Methods Monte Carlo simulation Network Psychometrics in Action - Applications and Case Studies Psychology Psychometrics Social Media Social networks Statistical Theory and Methods Statistics for Social Sciences Swine Testing and Evaluation United States > US latent topic analysis time embedding network models dynamics text mining
ISSN:	0033-3123, 1860-0980, 1860-0980
Online-Zugang:	Volltext
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