论文标题
计算宣传检测的调查
A Survey on Computational Propaganda Detection
论文作者
论文摘要
宣传运动旨在影响人们的心态，目的是推进特定的议程。他们利用了互联网的匿名性，社交网络的微观促进能力以及自动创建和管理协调的帐户网络的便利性，以具有有说服力的消息的数百万社交网络用户，专门针对每个单个用户的主题，对每个单个用户都敏感，并最终影响结果对目标问题影响。在这项调查中，我们从自然语言处理和网络分析的角度回顾了计算宣传检测的最新技术，这争论了这些社区之间需要合并努力的必要性。我们进一步讨论当前的挑战和未来的研究方向。
Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of social networks, and the ease of automatically creating and managing coordinated networks of accounts, to reach millions of social network users with persuasive messages, specifically targeted to topics each individual user is sensitive to, and ultimately influencing the outcome on a targeted issue. In this survey, we review the state of the art on computational propaganda detection from the perspective of Natural Language Processing and Network Analysis, arguing about the need for combined efforts between these communities. We further discuss current challenges and future research directions.
