Data Science for Fake News

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Author :
Publisher : Springer Nature
ISBN 13 : 3030626962
Total Pages : 302 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Science for Fake News by : Deepak P

Download or read book Data Science for Fake News written by Deepak P and published by Springer Nature. This book was released on 2021-04-29 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.

Data Science for Fake News

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Publisher :
ISBN 13 : 9783030626976
Total Pages : 0 pages
Book Rating : 4.6/5 (269 download)

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Book Synopsis Data Science for Fake News by : Deepak P

Download or read book Data Science for Fake News written by Deepak P and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.

Detecting Fake News on Social Media

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Publisher : Springer Nature
ISBN 13 : 3031019156
Total Pages : 121 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Detecting Fake News on Social Media by : Kai Shu

Download or read book Detecting Fake News on Social Media written by Kai Shu and published by Springer Nature. This book was released on 2022-05-31 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/

Combating Fake News with Computational Intelligence Techniques

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Publisher : Springer Nature
ISBN 13 : 3030900878
Total Pages : 432 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Combating Fake News with Computational Intelligence Techniques by : Mohamed Lahby

Download or read book Combating Fake News with Computational Intelligence Techniques written by Mohamed Lahby and published by Springer Nature. This book was released on 2021-12-15 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.

Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

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Publisher : IGI Global
ISBN 13 : 1799873730
Total Pages : 309 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance by : Rana, Dipti P.

Download or read book Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance written by Rana, Dipti P. and published by IGI Global. This book was released on 2021-06-04 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance, health, network, news, online advertisement, social network media, and weather have imbalanced data, which emphasizes the research necessity for real-time implications of precise fraud/defaulter detection, rare disease/reaction prediction, network intrusion detection, fake news detection, fraud advertisement detection, cyber bullying identification, disaster events prediction, and more. Machine learning algorithms are based on the heuristic of equally-distributed balanced data and provide the biased result towards the majority data class, which is not acceptable considering imbalanced data is omnipresent in real-life scenarios and is forcing us to learn from imbalanced data for foolproof application design. Imbalanced data is multifaceted and demands a new perception using the novelty at sampling approach of data preprocessing, an active learning approach, and a cost perceptive approach to resolve data imbalance. Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance offers new aspects for imbalanced data learning by providing the advancements of the traditional methods, with respect to big data, through case studies and research from experts in academia, engineering, and industry. The chapters provide theoretical frameworks and the latest empirical research findings that help to improve the understanding of the impact of imbalanced data and its resolving techniques based on data preprocessing, active learning, and cost perceptive approaches. This book is ideal for data scientists, data analysts, engineers, practitioners, researchers, academicians, and students looking for more information on imbalanced data characteristics and solutions using varied approaches.

Detecting Fake News on Social Media

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Author :
Publisher :
ISBN 13 : 9781681735849
Total Pages : 129 pages
Book Rating : 4.7/5 (358 download)

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Book Synopsis Detecting Fake News on Social Media by : Kai Shu

Download or read book Detecting Fake News on Social Media written by Kai Shu and published by . This book was released on 2019-07-03 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Anatomy of Fake News

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Author :
Publisher : Univ of California Press
ISBN 13 : 0520975847
Total Pages : 247 pages
Book Rating : 4.5/5 (29 download)

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Book Synopsis The Anatomy of Fake News by : Nolan Higdon

Download or read book The Anatomy of Fake News written by Nolan Higdon and published by Univ of California Press. This book was released on 2020-08-04 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the 2016 U.S. presidential election, concerns about fake news have fostered calls for government regulation and industry intervention to mitigate the influence of false content. These proposals are hindered by a lack of consensus concerning the definition of fake news or its origins. Media scholar Nolan Higdon contends that expanded access to critical media literacy education, grounded in a comprehensive history of fake news, is a more promising solution to these issues. The Anatomy of Fake News offers the first historical examination of fake news that takes as its goal the effective teaching of critical news literacy in the United States. Higdon employs a critical-historical media ecosystems approach to identify the producers, themes, purposes, and influences of fake news. The findings are then incorporated into an invaluable fake news detection kit. This much-needed resource provides a rich history and a promising set of pedagogical strategies for mitigating the pernicious influence of fake news.

Graph Mining

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Publisher : Springer Nature
ISBN 13 : 3031019032
Total Pages : 191 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Graph Mining by : Deepayan Chakrabarti

Download or read book Graph Mining written by Deepayan Chakrabarti and published by Springer Nature. This book was released on 2022-05-31 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with "what if" scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous "pageRank" algorithm and the "HITS" algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints. Table of Contents: Introduction / Patterns in Static Graphs / Patterns in Evolving Graphs / Patterns in Weighted Graphs / Discussion: The Structure of Specific Graphs / Discussion: Power Laws and Deviations / Summary of Patterns / Graph Generators / Preferential Attachment and Variants / Incorporating Geographical Information / The RMat / Graph Generation by Kronecker Multiplication / Summary and Practitioner's Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies / Social Networks / Other Related Work / Conclusions

The Psychology of Fake News

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Author :
Publisher : Routledge
ISBN 13 : 1000179052
Total Pages : 222 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis The Psychology of Fake News by : Rainer Greifeneder

Download or read book The Psychology of Fake News written by Rainer Greifeneder and published by Routledge. This book was released on 2020-08-13 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume examines the phenomenon of fake news by bringing together leading experts from different fields within psychology and related areas, and explores what has become a prominent feature of public discourse since the first Brexit referendum and the 2016 US election campaign. Dealing with misinformation is important in many areas of daily life, including politics, the marketplace, health communication, journalism, education, and science. In a general climate where facts and misinformation blur, and are intentionally blurred, this book asks what determines whether people accept and share (mis)information, and what can be done to counter misinformation? All three of these aspects need to be understood in the context of online social networks, which have fundamentally changed the way information is produced, consumed, and transmitted. The contributions within this volume summarize the most up-to-date empirical findings, theories, and applications and discuss cutting-edge ideas and future directions of interventions to counter fake news. Also providing guidance on how to handle misinformation in an age of “alternative facts”, this is a fascinating and vital reading for students and academics in psychology, communication, and political science and for professionals including policy makers and journalists.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

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Author :
Publisher : IGI Global
ISBN 13 : 1799811948
Total Pages : 355 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Learning Techniques and Optimization Strategies in Big Data Analytics by : Thomas, J. Joshua

Download or read book Deep Learning Techniques and Optimization Strategies in Big Data Analytics written by Thomas, J. Joshua and published by IGI Global. This book was released on 2019-11-29 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Fake News in Context

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Publisher : Routledge
ISBN 13 : 1000281299
Total Pages : 143 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Fake News in Context by : Lesley S. J. Farmer

Download or read book Fake News in Context written by Lesley S. J. Farmer and published by Routledge. This book was released on 2020-12-17 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fake News in Context defines fake news and sets it within a historical and international context. Helping readers to become more skilled at detecting misinformation, the book also demonstrates how such knowledge can be leveraged to facilitate more effective engagement in civic education. Distinguishing between fake news and other forms of misinformation, the book explains the complete communication cycle of fake news: how and why it is created, disseminated and accessed. The book then explains the physical and psychological reasons why people believe fake news. Providing generic methods for identifying fake news, Farmer also explains the use of fact- checking tools and automated algorithms. The book then details how various literacies, including news, media, visual, information, digital and data, offer unique concepts and skills that can help interpret fake news. Arguing that individuals and groups can respond and counter fake news, which leads to civic engagement and digital citizenship, the book concludes by providing strategies for instruction and tips for collaborating with librarians. Including a range of international examples, Fake News in Context will be of interest to teaching faculty, and students of library and information science, communication studies, media studies, politics and journalism. Librarians and information professionals will also find a valuable resource in this book.

Journalism, fake news & disinformation

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Author :
Publisher : UNESCO Publishing
ISBN 13 : 9231002813
Total Pages : 128 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Journalism, fake news & disinformation by : Ireton, Cherilyn

Download or read book Journalism, fake news & disinformation written by Ireton, Cherilyn and published by UNESCO Publishing. This book was released on 2018-09-17 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Research on Deception, Fake News, and Misinformation Online

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Author :
Publisher : IGI Global
ISBN 13 : 1522585370
Total Pages : 651 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Deception, Fake News, and Misinformation Online by : Chiluwa, Innocent E.

Download or read book Handbook of Research on Deception, Fake News, and Misinformation Online written by Chiluwa, Innocent E. and published by IGI Global. This book was released on 2019-06-28 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing amount of false and misleading information on the internet has generated new concerns and quests for research regarding the study of deception and deception detection. Innovative methods that involve catching these fraudulent scams are constantly being perfected, but more material addressing these concerns is needed. The Handbook of Research on Deception, Fake News, and Misinformation Online provides broad perspectives, practices, and case studies on online deception. It also offers deception-detection methods on how to address the challenges of the various aspects of deceptive online communication and cyber fraud. While highlighting topics such as behavior analysis, cyber terrorism, and network security, this publication explores various aspects of deceptive behavior and deceptive communication on social media, as well as new methods examining the concepts of fake news and misinformation, character assassination, and political deception. This book is ideally designed for academicians, students, researchers, media specialists, and professionals involved in media and communications, cyber security, psychology, forensic linguistics, and information technology.

Data Science: From Research to Application

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Publisher : Springer Nature
ISBN 13 : 3030373096
Total Pages : 350 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data Science: From Research to Application by : Mahdi Bohlouli

Download or read book Data Science: From Research to Application written by Mahdi Bohlouli and published by Springer Nature. This book was released on 2020-01-28 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, “Data Science” was listed as LinkedIn’s fastest-growing job in 2017. This book presents selected papers from the International Conference on Contemporary Issues in Data Science (CiDaS 2019), a professional data science event that provided a real workshop (not “listen-shop”) where scientists and scholars had the chance to share ideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems. Given its scope, the book will benefit not only data scientists and scientists from other domains, but also industry experts, policymakers and politicians.

Navigating Fake News, Alternative Facts, and Misinformation in a Post-Truth World

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Author :
Publisher : IGI Global
ISBN 13 : 1799825450
Total Pages : 375 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Navigating Fake News, Alternative Facts, and Misinformation in a Post-Truth World by : Dalkir, Kimiz

Download or read book Navigating Fake News, Alternative Facts, and Misinformation in a Post-Truth World written by Dalkir, Kimiz and published by IGI Global. This book was released on 2020-02-28 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current day and age, objective facts have less influence on opinions and decisions than personal emotions and beliefs. Many individuals rely on their social networks to gather information thanks to social media’s ability to share information rapidly and over a much greater geographic range. However, this creates an overall false balance as people tend to seek out information that is compatible with their existing views and values. They deliberately seek out “facts” and data that specifically support their conclusions and classify any information that contradicts their beliefs as “false news.” Navigating Fake News, Alternative Facts, and Misinformation in a Post-Truth World is a collection of innovative research on human and automated methods to deter the spread of misinformation online, such as legal or policy changes, information literacy workshops, and algorithms that can detect fake news dissemination patterns in social media. While highlighting topics including source credibility, share culture, and media literacy, this book is ideally designed for social media managers, technology and software developers, IT specialists, educators, columnists, writers, editors, journalists, broadcasters, newscasters, researchers, policymakers, and students.

Disinformation, Misinformation, and Fake News in Social Media

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Author :
Publisher : Springer Nature
ISBN 13 : 3030426998
Total Pages : 285 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Disinformation, Misinformation, and Fake News in Social Media by : Kai Shu

Download or read book Disinformation, Misinformation, and Fake News in Social Media written by Kai Shu and published by Springer Nature. This book was released on 2020-06-17 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges, learn state-of-the-art solutions for their specific needs, and quickly identify new research problems in their domains. The contributors to this volume describe the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. This edited volume will appeal to students, researchers, and professionals working on disinformation, misinformation and fake news in social media from a unique lens.

Data Science and Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 9819978149
Total Pages : 546 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Data Science and Applications by : Satyasai Jagannath Nanda

Download or read book Data Science and Applications written by Satyasai Jagannath Nanda and published by Springer Nature. This book was released on with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: