Frontiers In Fake Media Generation And Detection

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Frontiers in Fake Media Generation and Detection

Author : Mahdi Khosravy
Publisher : Springer Nature
ISBN 13 : 9811915245
Total Pages : 278 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Frontiers in Fake Media Generation and Detection by : Mahdi Khosravy

Download or read book Frontiers in Fake Media Generation and Detection written by Mahdi Khosravy and published by Springer Nature. This book was released on 2022-05-28 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents recent advances in the generation and detection of fake multimedia. It also presents some frontiers in defensive techniques in front of skillfully cloned media. The ultimate purpose of the research direction presented by this book is to build up a trustworthy media network benefited by an iron dome in front of media clones’ attacks. The book focusses on (1) applications of deep generative models in the generation of fake multimedia, and (2) cyber-defensive and detective techniques in front of cyberattacks. The book is composed of three parts: (i) introduction, (ii) fake media generation, and (iii) fake media detection.

Detecting Fake News on Social Media

Author : Kai Shu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681735830
Total Pages : 131 pages
Book Rating : 4.6/5 (817 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 Morgan & Claypool Publishers. This book was released on 2019-07-03 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an accessible introduction to the study of detecting fake news on social media. The concepts, algorithms, and methods described in this book can help harness the power of social media to build effective and intelligent fake news detection systems. In the past decade, social media is becoming 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 that is attracting tremendous attention. From a data mining perspective, this book introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates advanced settings of fake news detection on social media. In particular, the authors discuss the value of news content and social context, as well as important extensions to handle early detection, weakly-supervised detection, and explainable detection. This is 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.

Frontiers in Genetics Algorithm Theory and Applications

Author : Mahdi Khosravy
Publisher : Springer Nature
ISBN 13 : 9819981077
Total Pages : 293 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Frontiers in Genetics Algorithm Theory and Applications by : Mahdi Khosravy

Download or read book Frontiers in Genetics Algorithm Theory and Applications written by Mahdi Khosravy and published by Springer Nature. This book was released on with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Science and Applications

Author : Satyasai Jagannath Nanda
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:

Advanced Data Mining and Applications

Author : Xiaochun Yang
Publisher : Springer Nature
ISBN 13 : 3031466616
Total Pages : 848 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Advanced Data Mining and Applications by : Xiaochun Yang

Download or read book Advanced Data Mining and Applications written by Xiaochun Yang and published by Springer Nature. This book was released on 2023-12-06 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.

Data Science for Fake News

Author : Deepak P
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.

Social Media and Crowdsourcing

Author : Sujoy Chatterjee
Publisher : CRC Press
ISBN 13 : 1003804861
Total Pages : 259 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Social Media and Crowdsourcing by : Sujoy Chatterjee

Download or read book Social Media and Crowdsourcing written by Sujoy Chatterjee and published by CRC Press. This book was released on 2023-12-06 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media and crowdsourcing are important tools for solving complex problems. The benefit of crowdsourcing is that it leverages the power of human intelligence cost effectively and with less time. Social Media and Crowdsourcing: Application and Analytics examines the concepts of social media and crowdsourcing as well as their analytical aspects. It explores how these technologies contribute to the real world and examines such applications as promoting social good, agriculture, healthcare, tourism, disaster management, education, crime control, and cultural heritage. The book also looks at ethical issues in crowdsourcing and future scenarios and challenges for policy. Highlights of the book include the following: A crowdsourcing application in agriculture Crowdsourcing outline for a contemporary aided medicinal backup system Crowdsourcing-based recommendation in the tourism industry Crowdsourcing mechanisms for reviving cultural heritage Expanding the overarching concept of utilizing social media and crowdsourcing to solve various real-life problems, this book discusses how to bring together the wisdom of crowds for various decision-making problems in agriculture, disaster management, and healthcare. It addresses the various ethical issues arising out of various crowdsourcing-based applications. It puts forward diverse methodologies to involve crowdsourcing in education to implement new strategies to enhance learning outcomes. This book also addresses various problem-solving techniques for recommender applications in the travel and tourism industry. Providing a systematic discussion of the many sectors using crowdsourcing as an essential part of social innovation, this book is a theoretical and methodological look at the application of social media.

Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications

Author : Mina Farmanbar
Publisher : Springer Nature
ISBN 13 : 9819998360
Total Pages : 489 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications by : Mina Farmanbar

Download or read book Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications written by Mina Farmanbar and published by Springer Nature. This book was released on with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Graph Neural Networks: Foundations, Frontiers, and Applications

Author : Lingfei Wu
Publisher : Springer Nature
ISBN 13 : 9811660549
Total Pages : 701 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Graph Neural Networks: Foundations, Frontiers, and Applications by : Lingfei Wu

Download or read book Graph Neural Networks: Foundations, Frontiers, and Applications written by Lingfei Wu and published by Springer Nature. This book was released on 2022-01-03 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many challenges ranging from the foundational methodologies to the theoretical understandings of the power of the graph representation learning. This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs. This book is suitable for a wide audience including undergraduate and graduate students, postdoctoral researchers, professors and lecturers, as well as industrial and government practitioners who are new to this area or who already have some basic background but want to learn more about advanced and promising techniques and applications.

Fake News in an Era of Social Media

Author : Yasmin Ibrahim
Publisher : Rowman & Littlefield
ISBN 13 : 1786614227
Total Pages : 197 pages
Book Rating : 4.7/5 (866 download)

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Book Synopsis Fake News in an Era of Social Media by : Yasmin Ibrahim

Download or read book Fake News in an Era of Social Media written by Yasmin Ibrahim and published by Rowman & Littlefield. This book was released on 2020-01-29 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Frontiers in Signal Processing Editors’ Choice 2022

Author : Augusto Sarti
Publisher : Frontiers Media SA
ISBN 13 : 2832518699
Total Pages : 96 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Frontiers in Signal Processing Editors’ Choice 2022 by : Augusto Sarti

Download or read book Frontiers in Signal Processing Editors’ Choice 2022 written by Augusto Sarti and published by Frontiers Media SA. This book was released on 2023-04-05 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Disinformation, Misinformation, and Fake News in Social Media

Author : Kai Shu
Publisher : Springer
ISBN 13 : 9783030426989
Total Pages : 288 pages
Book Rating : 4.4/5 (269 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. This book was released on 2020-06-18 with total page 288 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.

AI-Based Metaheuristics for Information Security and Digital Media

Author : Apoorva S Shastri
Publisher : CRC Press
ISBN 13 : 1000904709
Total Pages : 142 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis AI-Based Metaheuristics for Information Security and Digital Media by : Apoorva S Shastri

Download or read book AI-Based Metaheuristics for Information Security and Digital Media written by Apoorva S Shastri and published by CRC Press. This book was released on 2023-07-06 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications. Drawing on multidisciplinary research including computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, it will enhance information security for society. It includes state-of-the-art research with illustrations and exercises throughout.

Big data analytics for smart healthcare applications

Author : Celestine Iwendi
Publisher : Frontiers Media SA
ISBN 13 : 2832515754
Total Pages : 1365 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Big data analytics for smart healthcare applications by : Celestine Iwendi

Download or read book Big data analytics for smart healthcare applications written by Celestine Iwendi and published by Frontiers Media SA. This book was released on 2023-04-17 with total page 1365 pages. Available in PDF, EPUB and Kindle. Book excerpt:

What Are Gamma-Ray Bursts?

Author : Joshua S. Bloom
Publisher : Princeton University Press
ISBN 13 : 1400837006
Total Pages : 271 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis What Are Gamma-Ray Bursts? by : Joshua S. Bloom

Download or read book What Are Gamma-Ray Bursts? written by Joshua S. Bloom and published by Princeton University Press. This book was released on 2011-01-10 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brief, cutting-edge introduction to the brightest cosmic phenomena known to science Gamma-ray bursts are the brightest—and, until recently, among the least understood—cosmic events in the universe. Discovered by chance during the cold war, these evanescent high-energy explosions confounded astronomers for decades. But a rapid series of startling breakthroughs beginning in 1997 revealed that the majority of gamma-ray bursts are caused by the explosions of young and massive stars in the vast star-forming cauldrons of distant galaxies. New findings also point to very different origins for some events, serving to complicate but enrich our understanding of the exotic and violent universe. What Are Gamma-Ray Bursts? is a succinct introduction to this fast-growing subject, written by an astrophysicist who is at the forefront of today's research into these incredible cosmic phenomena. Joshua Bloom gives readers a concise and accessible overview of gamma-ray bursts and the theoretical framework that physicists have developed to make sense of complex observations across the electromagnetic spectrum. He traces the history of remarkable discoveries that led to our current understanding of gamma-ray bursts, and reveals the decisive role these phenomena could play in the grand pursuits of twenty-first century astrophysics, from studying gravity waves and unveiling the growth of stars and galaxies after the big bang to surmising the ultimate fate of the universe itself. What Are Gamma-Ray Bursts? is an essential primer to this exciting frontier of scientific inquiry, and a must-read for anyone seeking to keep pace with cutting-edge developments in physics today.

How Algorithms Create and Prevent Fake News

Author : Noah Giansiracusa
Publisher : Apress
ISBN 13 : 9781484271544
Total Pages : 235 pages
Book Rating : 4.2/5 (715 download)

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Book Synopsis How Algorithms Create and Prevent Fake News by : Noah Giansiracusa

Download or read book How Algorithms Create and Prevent Fake News written by Noah Giansiracusa and published by Apress. This book was released on 2021-07-15 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what’s real and what’s not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning---especially when it comes to discerning the truth and differentiating fact from fiction. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what’s at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias – which gets amplified in harmful data feedback loops. Don’t be afraid: with this book you’ll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope. What You Will Learn The ways that data labeling and storage impact machine learning and how feedback loops can occur The history and inner-workings of YouTube’s recommendation algorithm The state-of-the-art capabilities of AI-powered text generation (GPT-3) and video synthesis/doctoring (deepfakes) and how these technologies have been used so far The algorithmic tools available to help with automated fact-checking and truth-detection Who This Book is For People who don’t have a technical background (in data, computers, etc.) but who would like to learn how algorithms impact society; business leaders who want to know the powers and perils of relying on artificial intelligence. A secondary audience is people with a technical background who want to explore the larger social and societal impact of their work.

The Psychology of Fake News

Author : Rainer Greifeneder
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.