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Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

2. Characterizing Pathogenic Social Media Accounts

verfasst von : Hamidreza Alvari, Elham Shaabani, Paulo Shakarian

Erschienen in: Identification of Pathogenic Social Media Accounts

Verlag: Springer International Publishing

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Abstract

Over the past years, political events and public opinion on the Web have been allegedly manipulated by “Pathogenic Social Media (PSM)” accounts dedicated to spreading disinformation and performing malicious activities. These accounts are often controlled by terrorist supporters, water armies, or fake news writers and hence can pose threats to social media and general public. Understanding and analyzing PSMs could help social media devise sophisticated techniques to stop them from reaching their audience and consequently reduce their threat. In this chapter, probabilistic causal inference and well-known statistical technique Hawkes processes are utilized to distinguish between PSM and non-PSM accounts. Results on real-world ISIS-related datasets from Twitter demonstrate that PSMs behave significantly differently from regular users while disseminating information.

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Vorheriges Kapitel Introduction
Nächstes Kapitel Unsupervised Pathogenic Social Media Accounts Detection Without Content or Network Structure
Fußnoten
1
Throughout this book, we may use terms normal, non-PSM, or regular users interchangeably to refer to the accounts that do not intend to do harm to the public and social media.
 
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Metadaten
Titel
Characterizing Pathogenic Social Media Accounts
verfasst von
Hamidreza Alvari
Elham Shaabani
Paulo Shakarian
Copyright-Jahr
2021
Buch
Identification of Pathogenic Social Media Accounts

Print ISBN: 978-3-030-61430-0

Electronic ISBN: 978-3-030-61431-7

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-61431-7_2

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