01060nam2 22002653i 450 SUN006172320071019120000.088-383-1721-620071019d1999 |0itac50 baitaIT|||| |||||ˆ<<11: ‰Studi caravaggeschi>> 1: 1943-1968Roberto LonghiFirenzeSansoni1999XI, 577 p.ill.27 cm.001SUN00617222001 ˆ11: ‰Studi caravaggeschiRoberto Longhi.1FirenzeSUNL000014Longhi, RobertoSUNV01814636305SansoniSUNV000090650ITSOL20181109RICASUN0061723UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALI07 CONS Kc 1301 XIa 07 9105 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI LETTERE E BENI CULTURALIIT-CE01039105CONS Kc 1301 XIacaStudi caravaggeschi 1: 1943-19681437807UNICAMPANIA03773oam 2200505 450 99641828420331620210416055124.03-030-61841-210.1007/978-3-030-61841-4(CKB)4100000011515540(DE-He213)978-3-030-61841-4(MiAaPQ)EBC6380864(PPN)25325695X(EXLCZ)99410000001151554020210416d2021 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierDisinformation in open online media second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, the Netherlands, October 26-27, 2020 : proceedings /Max van Duijn [and four others], editors1st ed. 2020.Cham, Switzerland :Springer,2021.1 online resource (X, 277 p. 112 illus., 61 illus. in color.) Lecture notes in computer science ;122593-030-61840-4 Includes bibliographical references and index.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.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.Lecture notes in computer science ;12259.InternetPolitical aspectsCongressesOnline social networksCongressesDisinformationCongressesInternetPolitical aspectsOnline social networksDisinformation302.231van Duijn MaxMiAaPQMiAaPQUtOrBLWBOOK996418284203316Disinformation in Open Online Media2569411UNISA