- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Earthquake conspiracy discussion on Twitter ; volume:11 ; number:1 ; day:27 ; month:3 ; year:2024 ; pages:1-10 ; date:12.2024
Humanities and Social Sciences Communications ; 11, Heft 1 (27.3.2024), 1-10, 12.2024
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1057/s41599-024-02957-y
- URN
-
urn:nbn:de:101:1-2406130854204.629565782031
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 10:45 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Erokhin, Dmitry
- Komendantova, Nadejda
- SpringerLink (Online service)
Ähnliche Objekte (12)
Nowcasting earthquake damages with Twitter
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories
Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic
Conspiracy Theories – Conspiracy Narratives
Dynamics and characteristics of misinformation related to earthquake predictions on Twitter
The Russian invasion of Ukraine selectively depolarized the Finnish NATO discussion on Twitter
Who pushes the discussion on wind energy? An analysis of self-reposting behaviour on Twitter
An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter
The conspiracy
Verschwörung : = Conspiracy
Neuschwanstein Conspiracy
Conspiracy Theories
Nowcasting earthquake damages with Twitter
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories
Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic
Conspiracy Theories – Conspiracy Narratives
Dynamics and characteristics of misinformation related to earthquake predictions on Twitter
The Russian invasion of Ukraine selectively depolarized the Finnish NATO discussion on Twitter
Who pushes the discussion on wind energy? An analysis of self-reposting behaviour on Twitter
An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter
The conspiracy
Verschwörung : = Conspiracy
Neuschwanstein Conspiracy
Conspiracy Theories
Nowcasting earthquake damages with Twitter
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories
Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic
Conspiracy Theories – Conspiracy Narratives
Dynamics and characteristics of misinformation related to earthquake predictions on Twitter
The Russian invasion of Ukraine selectively depolarized the Finnish NATO discussion on Twitter
Who pushes the discussion on wind energy? An analysis of self-reposting behaviour on Twitter
An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter
The conspiracy
Verschwörung : = Conspiracy
Neuschwanstein Conspiracy