| 书目名称 | Identification of Pathogenic Social Media Accounts | | 副标题 | From Data to Intelli | | 编辑 | Hamidreza Alvari,Elham Shaabani,Paulo Shakarian | | 视频video | | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | 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., I | | 出版日期 | Book 2021 | | 关键词 | Pathogenic Social Media Accounts; Social Bots; Misinformation; Terrorism; Social Media; Cybersecurity; Cau | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-61431-7 | | isbn_softcover | 978-3-030-61430-0 | | isbn_ebook | 978-3-030-61431-7Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 |
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发表于 2025-3-21 17:15:01
