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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (X, 277 p. 112 illus., 61 illus. in color.)
• Disciplina: 302.231
• Soggetto topico: Computer engineering; Computer networks; Artificial intelligence; Application software; Computers; Computer Engineering and Networks; Artificial Intelligence; Computer and Information Systems Applications; Computing Milieux
• Persona (resp. second.): van DuijnMax
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 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.
• 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.
• Titolo autorizzato: Disinformation in Open Online Media
• ISBN: 3-030-61841-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910427679003321
• Lo trovi qui: Univ. Federico II
• Serie: Information Systems and Applications, incl. Internet/Web, and HCI, . 2946-1642 ; ; 12259