Overview
- 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
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Table of contents (6 chapters)
Keywords
About this book
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.
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Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Web Content Credibility
Authors: Adam Wierzbicki
DOI: https://doi.org/10.1007/978-3-319-77794-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-77793-1Published: 10 July 2018
Softcover ISBN: 978-3-030-08542-1Published: 24 January 2019
eBook ISBN: 978-3-319-77794-8Published: 27 June 2018
Edition Number: 1
Number of Pages: XII, 221
Number of Illustrations: 15 b/w illustrations, 30 illustrations in colour
Topics: Information Systems Applications (incl. Internet), User Interfaces and Human Computer Interaction, Media Design, Software Engineering