Web Content Credibility

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This book introduces readers to Web content credibility evaluation and evaluation support. It highlights empirical research and establishes a solid foundation for future research by presenting methods of supporting credibility evaluation of online content, together with publicly available datasets for reproducible experimentation, such as the Web Content Credibility Corpus.

The book is divided into six chapters. After a general introduction in Chapter 1, including a brief survey of credibility evaluation in the social sciences, Chapter 2 presents definitions of credibility and related concepts of truth and trust. Next, Chapter 3 details methods, algorithms and user interfaces for systems supporting Web content credibility evaluation. In turn, Chapter 4 takes a closer look at the credibility of social media, exemplified in sections on Twitter, Q&A systems, and Wikipedia, as well as fake news detection. In closing, Chapter 5 presents mathematical and simulation models of credibility evaluation, before a final round-up of the book is provided in Chapter 6.

Overall, the book reviews and synthesizes the current state of the art in Web content credibility evaluation support and fake news detection. It provides researchers in academia and industry with both an incentive and a basis for future research and development of Web content credibility evaluation support services.



Provides the first comprehensive overview of a new research area of rapidly growing importance Combines empirical research and mathematical models of credibility evaluation Exemplifies results in various social media like Twitter or Wikipedia

Autorentext

Adam Wierzbicki is Professor and Vice-President of the Polish-Japanese Institute for Information Technology. His current research interests focus on social informatics, in particular on credibility, trust management, collective intelligence and fairness in distributed systems, and he has published numerous papers in these areas. In 2011-2015, he has led the Reconcile project which concerned the development of tools for the evaluation of Web content credibility. He is also the Steering Committee Chair of the International Conference on Social Informatics.



Inhalt
1 Introduction.- 2 Understanding and Measuring Credibility.- 3 Supporting Online Credibility Evaluation.- 4 Credibility of Social Media.- 5 Theoretical Models of Credibility.- 6 Conclusions.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030085421
    • Auflage Softcover reprint of the original 1st edition 2018
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H235mm x B155mm x T13mm
    • Jahr 2019
    • EAN 9783030085421
    • Format Kartonierter Einband
    • ISBN 3030085422
    • Veröffentlichung 24.01.2019
    • Titel Web Content Credibility
    • Autor Adam Wierzbicki
    • Gewicht 365g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 236
    • Lesemotiv Verstehen

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