Identification of Pathogenic Social Media Accounts eBook
Readzis program recommandation

Identification of Pathogenic Social Media Accounts

From Data to Intelligence to Prediction

Hamidreza Alvari, Elham Shaabani, Paulo Shakarian


Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Add to basket
£44,99
Download | LCP DRM 🛈 Adobe DRM 🛈
Streaming
Add to my wish list
Image Louise Reader présentation

Louise Reader

Read on Louise Reader App.

badge apple Application Louise Reader
badge Android Application Louise Reader
Get  £6.75  by recommending this book

This book sheds light on the challenges facing social media in combating malicious accounts, and aims to introduce current practices to address the challenges. It further provides an in-depth investigation regarding characteristics of “Pathogenic Social Media (PSM),”by focusing on how they differ from other social bots (e.g., trolls, sybils and cyborgs) and normal users as well as how PSMs communicate to achieve their malicious goals. This book leverages sophisticated data mining and machine learning techniques for early identification of PSMs, using the relevant information produced by these bad actors. It also presents proactive intelligence with a multidisciplinary approach that combines machine learning, data mining, causality analysis and social network analysis, providing defenders with the ability to detect these actors that are more likely to form malicious campaigns and spread harmful disinformation. 

Over the past years, social media has played a major role in massive dissemination of misinformation online. Political events and public opinion on the Web have been allegedly manipulated by several forms of accounts including “Pathogenic Social Media (PSM)” accounts (e.g., ISIS supporters and fake news writers). PSMs are key users in spreading misinformation on social media - in viral proportions. Early identification of PSMs is thus of utmost importance for social media authorities in an effort toward stopping their propaganda. The burden falls to automatic approaches that can identify these accounts shortly after they began their harmful activities. 

Researchers and advanced-level students studying and working in cybersecurity, data mining, machine learning, social network analysis and sociology will find this book useful.  Practitioners of proactive cyber threat intelligence and social media authorities will also find this book interesting and insightful, as it presents an important andemerging type of threat intelligence facing social media and the general public.

About the book
Author
Hamidreza  Alvari , Elham  Shaabani , Paulo  Shakarian
Imprint
Springer
Collection
SpringerBriefs in Computer Science
Publication date
2021-01-04
Pages
95 pages
Print ISBN
9783030614300
Language
English
Ebook informations
EAN PDF
9783030614317
Price
£44.99
Read more
Copy count 0
Print count 9
File size 5048 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9783030614317
Price
£44.99
Read more
Copy count 0
Print count 9
File size 7823 Ko
Ce livre est accessible aux handicaps   Informations accessibility
Compatibility

mobile-and-tablet To check the compatibility with your devices,
see help page

You may also be interested in...

Sign up to get our latest ebook recommendations and special offers


Paiements sécurisés

Copyright © Numilog 2025, All rights reserved