计算机科学
社会化媒体
钥匙(锁)
计算机安全
互联网隐私
面子(社会学概念)
数据科学
社交媒体分析
分析
万维网
社会学
社会科学
作者
Mattia Zago,Pantaleone Nespoli,Dimitrios Papamartzivanos,Manuel Gil Pérez,Félix Gómez Mármol,Georgios Kambourakis,Gregorio Martínez Pérez
标识
DOI:10.1109/mcom.2019.1800520
摘要
Social networks are a primary source of news and information that can be steered, distorted, and influenced. Recent scandals such as the one involving Cambridge Analytics proved that social media users are prone to such direct manipulation. Among the weapons available to perform these anti-democracy attacks, Social Bots are beyond question the most powerful one. These autonomous entities constitute coordinated armies that sneakily manipulate and deceive real users. Thus, our research identifies five major challenges that the research community needs to face toward tackling Social Bots activities in four individual but comparable scenarios. To address these key challenges, we propose, elaborate, and evaluate a mix of remedies in the form of a proof-of-concept platform combining the agility of artificial intelligence with the expertise of human analysts to detect and shield against Social Bots interference.
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