Use of bot and content flags to limit the spread of misinformation among social networks: a behavior and attitude survey

The COVID-19 infodemic is driven partially by Twitter bots. Flagging bot accounts and the misinformation they share could provide one strategy for preventing the spread of false information online. This article reports on an experiment ( N = 299) conducted with participants in the USA to see whethe...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Social network analysis and mining 2021, Vol.11 (1), p.32-32, Article 32
Hauptverfasser:	Lanius, Candice, Weber, Ryan, MacKenzie, William I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications of Graph Theory and Complex Networks Attitudes Computer Science COVID-19 Credibility Data Mining and Knowledge Discovery Digital media Economics False information Flags Game Theory Humanities Law Methodology of the Social Sciences Miners Misinformation Network analysis News Nonprofit organizations Original Original Article Social and Behav. Sciences Social media Social network analysis Social networks Special Issue on Tackling COVID-19 Infodemic Statistics for Social Sciences
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!