Web Content Credibility

Description

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. Front Matter ....Pages i-xii Introduction (Adam Wierzbicki)....Pages 1-19 Understanding and Measuring Credibility (Adam Wierzbicki)....Pages 21-79 Supporting Online Credibility Evaluation (Adam Wierzbicki)....Pages 81-129 Credibility of Social Media (Adam Wierzbicki)....Pages 131-153 Theoretical Models of Credibility (Adam Wierzbicki)....Pages 155-203 Conclusions (Adam Wierzbicki)....Pages 205-206 Back Matter ....Pages 207-221