01184nam0 22002891i 450 SUN004647320060619120000.088-8114-511-120060619d1997 |0itac50 baitaIT|||| |||||Conoscenza e rappresentazione del costruitoun itinerario all'interno di uno dei piu attuali problemi di interesse collettivoPaolo JossaNapoli : Edizioni scientifiche italiane[1997]258 p. ; 21 cmSeguono appendici.Rilievo architettonicoFISUNC011177NapoliSUNL000005720.28421Jossa, PaoloSUNV01988524143ESISUNV000952650ITSOL20181109RICASUN0046473BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALE01 PREST IIB64 01 47408 BIBLIOTECA DEL DIPARTIMENTO DI ARCHITETTURA E DISEGNO INDUSTRIALEIT-CE010747408PREST IIB64paConoscenza e rappresentazione del costruito327880UNICAMPANIA03749nam 22007335 450 991041003390332120251113184343.03-030-42699-810.1007/978-3-030-42699-6(CKB)5310000000016630(MiAaPQ)EBC6229872(DE-He213)978-3-030-42699-6(PPN)248596160(MiAaPQ)EBC6230004(MiAaPQ)EBC29092505(EXLCZ)99531000000001663020200617d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDisinformation, Misinformation, and Fake News in Social Media Emerging Research Challenges and Opportunities /edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resourceLecture Notes in Social Networks,2190-54363-030-42698-X A Social Network Analysis and Cyber Forensics Informed Exploration of Disinformation Campaigns -- Mitigating Fake News through Fact-checking URL recommendation -- Detecting Fake News with Semi-supervised Tensor Decomposition -- Learning Hierarchical Discourse-level Structure for Fake News Detection -- Mining Styles and Emotions for Fake News Detection -- Fake News Detection with Deep Diffusive Network Model -- Fake News Detection: An Interdisciplinary Research -- Jointly Identifying Framing Bias and Detecting Fake News on Social Media.This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges, learn state-of-the-art solutions for their specific needs, and quickly identify new research problems in their domains. The contributors to this volume describe the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. This edited volume will appeal to students, researchers, and professionals working on disinformation, misinformation and fake news in social media from a unique lens.Lecture Notes in Social Networks,2190-5436Data miningSociologyMethodologySocial sciencesData processingSocial mediaJournalismData Mining and Knowledge DiscoverySociological MethodsComputer Application in Social and Behavioral SciencesSocial MediaJournalismData mining.SociologyMethodology.Social sciencesData processing.Social media.Journalism.Data Mining and Knowledge Discovery.Sociological Methods.Computer Application in Social and Behavioral Sciences.Social Media.Journalism.070.43302.231Shu Kaiedthttp://id.loc.gov/vocabulary/relators/edtWang Suhangedthttp://id.loc.gov/vocabulary/relators/edtLee Dongwonedthttp://id.loc.gov/vocabulary/relators/edtLiu Huan1958-edthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910410033903321Disinformation, Misinformation, and Fake News in Social Media1919273UNINA