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Author: Kai Shu
Publisher: Morgan & Claypool Publishers
ISBN: 1681735830
Category : Computers
Languages : en
Pages : 131
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Book Description
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.
Author: Kai Shu
Publisher: Morgan & Claypool Publishers
ISBN: 1681735830
Category : Computers
Languages : en
Pages : 131
Get Book Here
Book Description
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.
Author: Mary Evans
Publisher: Palgrave Macmillan
ISBN: 9783319945194
Category : Social Science
Languages : en
Pages : 0
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Book Description
This book analyses the ways in which twenty-first century detective fiction provides an understanding of the increasingly complex and often baffling contemporary world — and what sociology, as a discipline, can learn from it. Conventional sociological accounts of fiction generally comprehend its value in terms of the ways in which it can illustrate, enlarge or help to articulate a particular social theory. Evans, Moore, and Johnstone suggest a different approach, and demonstrate that by taking a group of detective novels, we can unveil so far unidentified, but crucial, theoretical ideas about what it means to be an individual in the twenty-first century. More specifically, the authors argue that detective fiction of the last forty years illuminates the effects of urban isolation and separation, the invisibility of institutional power, financial insecurity, and the failure of public authorities to protect people. In doing so, this body of fiction traces out the fault-lines in our social arrangements, rehearses our collective fears, and captures a mood of restless disquiet. By engaging with detective stories in this way, the book revisits ideas about the promise and purpose of sociology.
Author: Panagiotis Karampelas
Publisher: Springer
ISBN: 3030112861
Category : Computers
Languages : en
Pages : 242
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Book Description
This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.
Author: Georgios Kambourakis
Publisher: CRC Press
ISBN: 1000639975
Category : Computers
Languages : en
Pages : 439
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Book Description
This book provides solid, state-of-the-art contributions from both scientists and practitioners working on botnet detection and analysis, including botnet economics. It presents original theoretical and empirical chapters dealing with both offensive and defensive aspects in this field. Chapters address fundamental theory, current trends and techniques for evading detection, as well as practical experiences concerning detection and defensive strategies for the botnet ecosystem, and include surveys, simulations, practical results, and case studies.
Author: M.D. Rutherford
Publisher: MIT Press
ISBN: 0262019272
Category : Psychology
Languages : en
Pages : 423
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Book Description
An interdisciplinary exploration of perceptual and cognitive processes underlying the ability to perceive social information, drawing on current research and new experimental techniques. As we enter a room full of people, we instantly have a number of social perceptions. We have an automatic perception of others as subjective agents with their own points of view, thoughts, and goals, and we can quickly interpret minimal visual information to infer that something is animate. This book explores the perceptual and cognitive processes that allow humans to perceive and understand this social information quickly and apparently effortlessly. Top researchers in fields ranging from developmental psychology to vision science consider the perception of biological and animate motion, inferences based on this motion, and the early development of these abilities. These innovative contributions reflect a recent renewal of interest in the attribution of agency and the understanding of goal-directed behavior, which has been accompanied by a rapid increase in empirical discoveries enabled by such new experimental techniques as brain imaging. The research presented in Social Perception suggests that an intuitive understanding of others is an integral part of human psychology, develops early, relies on a network of brain regions, and may be compromised in autism. Contributors Dare Baldwin, Lara Bardi, H. Clark Barrett, Erin Cannon, You-jung Choi, Willem E. Frankenhuis, Tao Gao, Emily D. Grossman, Antonia Hamilton, Petra Hauf, Valerie A. Kuhlmeier, Jeff Loucks, Scott A. Love, Yuyan Luo, Elena Mascalzoni, Phil McAleer, Richard Ramsey, Lucia Regolin, M.D. Rutherford, Kara Sage, Brian J. Scholl, Maggie Shiffrar, Francesca Simion, Jessica Sommerville, James P. Thomas, Nikolaus Troje, Amanda Woodward
Author: Dr Panagiotis Fotaris
Publisher: Academic Conferences and publishing limited
ISBN: 1917204000
Category : Computers
Languages : en
Pages : 412
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Book Description
These proceedings represent the work of contributors to the 11th European Conference on Social Media (ECSM 2024), hosted by the University of Brighton, UK on 30-31 May 2024. The Conference and Programme Chair is Dr Panagiotis Fotaris from the University of Brighton. ECSM is now a well-established event on the academic research calendar and now in its 11th year the key aim remains the opportunity for participants to share ideas and meet the people who hold them. The scope of papers will ensure an interesting two days. The subjects covered illustrate the wide range of topics that fall into this important and ever-growing area of research.
Author: Fabio Crestani
Publisher: Springer Nature
ISBN: 3031044312
Category : Technology & Engineering
Languages : en
Pages : 337
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Book Description
eRisk stands for Early Risk Prediction on the Internet. It is concerned with the exploration of techniques for the early detection of mental health disorders which manifest in the way people write and communicate on the internet, in particular in user generated content (e.g. Facebook, Twitter, or other social media). Early detection technologies can be employed in several different areas but particularly in those related to health and safety. For instance, early alerts could be sent when the writing of a teenager starts showing increasing signs of depression, or when a social media user starts showing suicidal inclinations, or again when a potential offender starts publishing antisocial threats on a blog, forum or social network. eRisk has been the pioneer of a new interdisciplinary area of research that is potentially applicable to a wide variety of situations, problems and personal profiles. This book presents the best results of the first five years of the eRisk project which started in 2017 and developed into one of the most successful track of CLEF, the Conference and Lab of the Evaluation Forum.
Author: Hemant Kumar Soni
Publisher: CRC Press
ISBN: 104010049X
Category : Computers
Languages : en
Pages : 325
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Book Description
Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speech on social media platforms. • Covers various approaches, algorithms, and methodologies for fake news and hate speech detection. • Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence. • Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. • Emphasizes the role of multilingual and multimodal processing to detect fake news. • Includes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understanding. The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.
Author: William Hoppitt
Publisher: Princeton University Press
ISBN: 1400846501
Category : Science
Languages : en
Pages : 320
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Book Description
Many animals, including humans, acquire valuable skills and knowledge by copying others. Scientists refer to this as social learning. It is one of the most exciting and rapidly developing areas of behavioral research and sits at the interface of many academic disciplines, including biology, experimental psychology, economics, and cognitive neuroscience. Social Learning provides a comprehensive, practical guide to the research methods of this important emerging field. William Hoppitt and Kevin N. Lala define the mechanisms thought to underlie social learning and demonstrate how to distinguish them experimentally in the laboratory. They present techniques for detecting and quantifying social learning in nature, including statistical modeling of the spatial distribution of behavior traits. They also describe the latest theory and empirical findings on social learning strategies, and introduce readers to mathematical methods and models used in the study of cultural evolution. This book is an indispensable tool for researchers and an essential primer for students. Provides a comprehensive, practical guide to social learning research Combines theoretical and empirical approaches Describes techniques for the laboratory and the field Covers social learning mechanisms and strategies, statistical modeling techniques for field data, mathematical modeling of cultural evolution, and more
Author: Anna-Lena Zietlow
Publisher: Frontiers Media SA
ISBN: 2889665887
Category : Science
Languages : en
Pages : 181
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Book Description
