Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Identification of Pathogenic Social Media Accounts: From Data to Intelligence to Prediction

Identification of Pathogenic Social Media Accounts: From Data to Intelligence to Prediction

Alvari, Hamidreza
Shaabani, Elham
Shakarian, Paulo

Paperback

Series: Springerbriefs in Computer Science

DatabasesGeneral ComputersComputer Security

ISBN10: 3030614301
ISBN13: 9783030614300
Publisher: Springer Nature
Published: Jan 5 2021
Pages: 95
Weight: 0.36
Height: 0.22 Width: 6.14 Depth: 9.21
Language: English
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.

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