Automatic Detection of Influential Actors in Disinformation Networks

The weaponization of digital communications and social media to conduct disinformation campaigns at immense scale, speed, and reach presents new challenges to identify and counter hostile influence operations (IOs). This paper presents an end-to-end framework to automate detection of disinformation...

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Veröffentlicht in:	arXiv.org 2021-01
Hauptverfasser:	Smith, Steven T, Kao, Edward K, Mackin, Erika D, Shah, Danelle C, Simek, Olga, Rubin, Donald B
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Social and Information Networks Congressional reports Datasets Digital media Election results Elections Information warfare Machine learning Narratives Natural language processing Presidential elections Statistics - Applications Statistics - Machine Learning
Online-Zugang:	Volltext
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