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Identification of Pathogenic Social Media Accounts - From Data to Intelligence to Prediction (Paperback, 1st ed. 2021)
Loot Price: R1,557
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Identification of Pathogenic Social Media Accounts - From Data to Intelligence to Prediction (Paperback, 1st ed. 2021)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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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 and emerging type of threat intelligence facing social
media and the general public.
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