Data Science For Fake News
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Data Science For Fake News
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Author : Deepak P
language : en
Publisher: Springer Nature
Release Date : 2021-04-29
Data Science For Fake News written by Deepak P and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Computers categories.
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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Author : Deepak P
language : en
Publisher:
Release Date : 2021
Data Science For Fake News written by Deepak P and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
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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Author : Kai Shu
language : en
Publisher:
Release Date : 2019-07-03
Detecting Fake News On Social Media written by Kai Shu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-03 with categories.
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.
Combating Fake News With Computational Intelligence Techniques
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Author : Mohamed Lahby
language : en
Publisher: Springer Nature
Release Date : 2021-12-15
Combating Fake News With Computational Intelligence Techniques written by Mohamed Lahby and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-15 with Technology & Engineering categories.
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 Science From Research To Application
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Author : Mahdi Bohlouli
language : en
Publisher: Springer Nature
Release Date : 2020-01-28
Data Science From Research To Application written by Mahdi Bohlouli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-28 with Technology & Engineering categories.
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.
Fake News In Context
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Author : Lesley S. J. Farmer
language : en
Publisher: Routledge
Release Date : 2020-12-17
Fake News In Context written by Lesley S. J. Farmer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Social Science categories.
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.
Disinformation Misinformation And Fake News In Social Media
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Author : Kai Shu
language : en
Publisher: Springer Nature
Release Date : 2020-06-17
Disinformation Misinformation And Fake News In Social Media written by Kai Shu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Computers categories.
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.
Fake News In An Era Of Social Media
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Author : Yasmin Ibrahim
language : en
Publisher: Rowman & Littlefield
Release Date : 2020-01-29
Fake News In An Era Of Social Media written by Yasmin Ibrahim and has been published by Rowman & Littlefield this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-29 with Social Science categories.
Over the last few years, social media has expanded to become a key platform for news dissemination and circulation, and a key orginator and propogator of 'fake news'.. Nations, governments, organisations and societies are now coming to terms with the unpredictable and debilitating consequences of fake news. The propagation of news containing falsehoods has been linked to an increase in measles cases, surges in youth crimes, the spread of pseudo-science, compromised national security, and more. Some even perceive it as a global threat to democratic systems around the world. In this book, the authors examine factors influencing the spread of fake news, and suggest ways to combat it by exploring the key elements which enable and facilitate this phenomenon.
Data Science And Applications
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Author : Satyasai Jagannath Nanda
language : en
Publisher: Springer Nature
Release Date :
Data Science And Applications written by Satyasai Jagannath Nanda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Calling Bullshit
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Author : Carl T. Bergstrom
language : en
Publisher: Random House
Release Date : 2020-08-04
Calling Bullshit written by Carl T. Bergstrom and has been published by Random House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-04 with Political Science categories.
Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. “A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data. You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit. We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.