Social Media Communication Data for Recovery: Detecting Socio-Economic Activities Following a Disaster, Shibuya Yuya
Автор: Shu Kai, Liu Huan Название: Detecting Fake News on Social Media ISBN: 1681735849 ISBN-13(EAN): 9781681735849 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10811.00 р. Наличие на складе: Нет в наличии.
Описание: In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.
Автор: Andrew Wiesner Название: A Sports-Oriented Approach to Introductory Statistics ISBN: 1621316408 ISBN-13(EAN): 9781621316404 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10118.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: No one can deny the obvious link between statistics and sports, and many a sports fan can reel off a lengthy list of statistics about a favourite team or player. This anthology combines the study of statistics with the high interest area of sports to create a text that delivers an engaging and effective introduction to statistical principles.
Автор: Shu Kai, Liu Huan Название: Detecting Fake News on Social Media ISBN: 1681735822 ISBN-13(EAN): 9781681735825 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7762.00 р. Наличие на складе: Нет в наличии.
Описание:
In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost.
However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area.
This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.
Автор: Yuya Shibuya Название: Social Media Communication Data for Recovery ISBN: 9811508240 ISBN-13(EAN): 9789811508240 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the possibility of using social media data for detecting socio-economic recovery activities.
Автор: Donoghue Anthony Название: Statistical Thinking through Media Examples ISBN: 1516565533 ISBN-13(EAN): 9781516565535 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10402.00 р. Наличие на складе: Нет в наличии.
Описание: Statistical Thinking through Media Examples uses real-world examples from various media to give students an introduction to fundamentals of statistical thinking. Unlike many standard texts in the discipline, the book focuses on conceptual understanding – the meaning behind mathematical calculations rather than the calculations themselves. Written in accessible language, the book begins by discussing the importance of learning how to assess the quality of research results presented by the media. This understanding creates an essential context for subsequent chapters on questioning study design including polls and surveys, reasoning with variation in data measurements, understanding probability, confidence intervals, hypothesis testing, and linear regression. Students also learn how statistics can be misused and manipulated by researchers to provide a desired result. The second edition features new coverage of select topics, including ANOVA, Chi-Square tests, and multiple linear regression. Every chapter references online resources or includes in-depth discussion to draw connections between statistical concepts and media examples, such as studies on alcohol consumption and cardiovascular health, American football and brain injury, public mass shootings, dishonesty in scientific research, and more. Statistical Thinking through Media Examples is an ideal resource for any course that deals with introductory statistics, particularly those in the health and social sciences, journalism, and business.
Автор: Kristofor Paulson Название: Breaking through the World of Statistics ISBN: 1516508769 ISBN-13(EAN): 9781516508761 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 15042.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Breaking through the World of Statistics introduces students to statistics and processes that organize, summarize, and apply data to authentic situations. Instruction within the text is based on the principle of learning-by-doing. Each chapter first presents a specific theory or process for problem-solving, and then applies that theory or process to real-world problems.The content features information drawn from diverse disciplines including business and sports. Over the course of the text, students will learn about statistics and their measurement, data organization, descriptive statistics, and probability, both discrete and continuous. They will also study sampling and sampling distributions, confidence intervals, hypothesis testing, analysis of the variance, and both simple and multiple linear regression.The book has been developed to demonstrate that statistics is not a single discipline, but rather has broad applications for numerous areas of life and work. Breaking through the World of Statistics is designed for introductory statistics courses and to successfully prepare students for intermediate-level study.
Автор: Binxing Fang, Yan Jia Название: Information and Communication ISBN: 3110597845 ISBN-13(EAN): 9783110597844 Издательство: Walter de Gruyter Рейтинг: Цена: 16169.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 3 of the set mainly focuses on the propagation models and evolution rules of information. Information retrieval and dissemination, topic discovery and evolution, algorithms of influence maximization are discussed in detail. It is an essential reference for scientist and professionals in computer science.
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