Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20) Survey Track A Survey on Computational Propaganda Detection Giovanni Da San Martino1∗ , Stefano Cresci2 , Alberto Barron-Cede´ no˜ 3 , Seunghak Yu4 , Roberto Di Pietro5 and Preslav Nakov1 1Qatar Computing Research Institute, HBKU, Doha, Qatar 2Institute of Informatics and Telematics, IIT-CNR, Pisa, Italy 3DIT, Alma Mater Studiorum–Universita` di Bologna, Forl`ı, Italy 4MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA 5College of Science and Engineering, HBKU, Doha, Qatar fgmartino, rdipietro,
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[email protected] Abstract Whereas false statements are not really a new phenomenon —e.g., yellow press has been around for decades— this time Propaganda campaigns aim at influencing people’s things were notably different in terms of scale and effective- mindset with the purpose of advancing a specific ness thanks to social media, which provided both a medium to agenda. They exploit the anonymity of the Internet, reach millions of users and an easy way to micro-target spe- the micro-profiling ability of social networks, and cific narrow groups of voters based on precise geographic, the ease of automatically creating and managing demographic, psychological, and/or political profiling. coordinated networks of accounts, to reach millions An important aspect of the problem that is often largely of social network users with persuasive messages, ignored is the mechanism through which disinformation specifically targeted to topics each individual user is being conveyed, which is using propaganda techniques. is sensitive to, and ultimately influencing the out- These include specific rhetorical and psychological tech- come on a targeted issue.