{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:35:55Z","timestamp":1783438555639,"version":"3.54.6"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>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. \n\nIn 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.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/672","type":"proceedings-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T12:12:10Z","timestamp":1594210330000},"page":"4826-4832","source":"Crossref","is-referenced-by-count":56,"title":["A Survey on Computational Propaganda Detection"],"prefix":"10.24963","author":[{"given":"Giovanni Da San","family":"Martino","sequence":"first","affiliation":[{"name":"Qatar Computing Research Institute, HBKU"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Cresci","sequence":"additional","affiliation":[{"name":"Institute of Informatics and Telematics, IIT-CNR, Pisa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Barr\u00f3n-Cede\u00f1o","sequence":"additional","affiliation":[{"name":"DIT, Alma Mater Studiorum\u2013Universit\u00e0 di Bologna, Forl\u00ec"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seunghak","family":"Yu","sequence":"additional","affiliation":[{"name":"Massachusetts Institute of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto Di","family":"Pietro","sequence":"additional","affiliation":[{"name":"Hamad Bin Khalifa University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Preslav","family":"Nakov","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute, HBKU"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","theme":"Artificial Intelligence","location":"Yokohama, Japan","acronym":"IJCAI-PRICAI-2020","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2020,7,11]]},"end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:16:36Z","timestamp":1594260996000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/672"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/672","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}