001436352 000__ 04592cam\a2200625\i\4500
001436352 001__ 1436352
001436352 003__ OCoLC
001436352 005__ 20230309004022.0
001436352 006__ m\\\\\o\\d\\\\\\\\
001436352 007__ cr\un\nnnunnun
001436352 008__ 210504s2021\\\\sz\\\\\\ob\\\\000\0\eng\d
001436352 019__ $$a1249629678
001436352 020__ $$a9783030626969$$q(electronic bk.)
001436352 020__ $$a3030626962$$q(electronic bk.)
001436352 020__ $$z3030626954
001436352 020__ $$z9783030626952
001436352 0247_ $$a10.1007/978-3-030-62696-9$$2doi
001436352 035__ $$aSP(OCoLC)1249509776
001436352 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dN$T$$dUKAHL$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCQ
001436352 049__ $$aISEA
001436352 050_4 $$aPN4784.F27
001436352 08204 $$a070.4$$222
001436352 1001_ $$aP, Deepak,$$eauthor.
001436352 24510 $$aData science for fake news :$$bsurveys and perspectives /$$cDeepak P, Tanmoy Chakraboty, Cheng Long, Santhosh Kumar G.
001436352 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001436352 300__ $$a1 online resource
001436352 336__ $$atext$$btxt$$2rdacontent
001436352 337__ $$acomputer$$bc$$2rdamedia
001436352 338__ $$aonline resource$$bcr$$2rdacarrier
001436352 4901_ $$aThe information retrieval series,$$x1871-7500 ;$$vvolume 42
001436352 504__ $$aIncludes bibliographical references.
001436352 5050_ $$aA Multifaceted Approach to Fake News -- Part I: Survey. On Unsupervised Methods for Fake News Detection ; Multi-modal Fake News Detection ; Deep Learning for Fake News Detection ; Dynamics of Fake News Diffusion ; Neural Language Models for (Fake?) News Generation ; Fact Checking on Knowledge Graphs ; Graph Mining Meets Fake News Detection -- Part II: Perspectives. Fake News in Health and Medicine ; Ethical Considerations in Data-Driven Fake News Detection ; A Political Science Perspective on Fake News ; A Political Science Perspective on Fake News ; Fake News and Social Processes: A Short Review ; Misinformation and the Indian Election: Case Study ; STS, Data Science, and Fake News: Questions and Challenges ; Linguistic Approaches to Fake News Detection.
001436352 506__ $$aAccess limited to authorized users.
001436352 5208_ $$aThis book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.
001436352 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 4, 2021).
001436352 650_0 $$aFake news.
001436352 650_0 $$aJournalism$$xData processing.
001436352 650_0 $$aData mining.
001436352 650_0 $$aJournalistic ethics.
001436352 650_6 $$aFausses nouvelles.
001436352 650_6 $$aJournalisme$$xInformatique.
001436352 650_6 $$aExploration de données (Informatique)
001436352 650_6 $$aJournalistes$$xDéontologie.
001436352 655_0 $$aElectronic books.
001436352 7001_ $$aChakraborty, Tanmoy,$$eauthor.
001436352 7001_ $$aLong, Cheng,$$eauthor.
001436352 7001_ $$aG, Santhosh Kumar,$$eauthor.
001436352 77608 $$iPrint version:$$z9783030626952$$w(OCoLC)1198714465
001436352 830_0 $$aInformation retrieval series ;$$v42.$$x1871-7500
001436352 852__ $$bebk
001436352 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-62696-9$$zOnline Access$$91397441.1
001436352 909CO $$ooai:library.usi.edu:1436352$$pGLOBAL_SET
001436352 980__ $$aBIB
001436352 980__ $$aEBOOK
001436352 982__ $$aEbook
001436352 983__ $$aOnline
001436352 994__ $$a92$$bISE