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[null,"1.","Record Nr.",null,"UNINA9910427679003321"]
[null,null,"Titolo",null,"Disinformation in Open Online Media : Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings / / edited by Max van Duijn, Mike Preuss, Viktoria Spaiser, Frank Takes, Suzan Verberne"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-61841-2"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 277 p. 112 illus., 61 illus. in color.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 12259"]
[null,null,"Disciplina",null,"302.231"]
[null,null,"Soggetti",null,"Computer engineering"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Computer Engineering and Networks"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Computing Milieux"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets -- How Fake News Affect Trust in the Output of a Machine Learning System for News Curation -- A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning -- Misinformation from Chinese Web-based Newspapers? Machine Computational Analysis of Metabolic Disease Burden -- Students Assessing Digital News and Misinformation -- Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online -- Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting -- Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models -- Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action -- Fake "]
[{"$nulls":4},"News Detection on Twitter Using Propagation Structures -- #ArsonEmergency and Australia's \"Black Summer\": Polarisation and Misinformation on Social Media -- How Identity and Uncertainty Affect Online Social Influence: An Agent-Based Approach -- Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results -- On the Robustness of Rating Aggregators Against Injection Attacks -- FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News -- Combating Disinformation: Effects of Timing and Correction Format on Factual Knowledge and Personal Beliefs -- Near Real-Time Detection of Misinformation on Online Social Networks -- Multi-modal Analysis of Misleading Political News."]
[null,null,null,"Sommario/riassunto","Chapters “Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models”, “Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results” and “Students Assessing Digital News and Misinformation” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com."]