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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: 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: Michelle Garcia Winner
Publisher: Think Social Publishing
ISBN: 1936943530
Category : Juvenile Nonfiction
Languages : en
Pages : 76
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Book Description
The social world is a big, complicated place! We are all social detectives as we observe, gather, and make sense of the clues within different social contexts (settings, situations, and the people in them) to figure out the hidden rules for expected behaviors. This leads us toward understanding how we each feel and think about others in a situation and how we choose to respond to each other’s actions and reactions. We are good Social Detectives when we use our eyes, ears, hearts, and brains to figure out what others are planning to do next or are presently doing and what they mean by their words and actions. This revised, expanded 2nd edition of the awarding-winning storybook teaches from the social learner’s perspective about the power of observation, reading context, and interpreting clues before choosing how to respond in ways that meet their social goals. A new structured approach to observation, new illustrations reflecting a broader range of inclusion and diversity in characters, practice pages and activities for deeper learning, specific teaching tips, and a glossary of Social Thinking Vocabulary and concepts are just some of the new material you’ll find inside. This is the first book in the Superflex® series. It guides readers on a journey of discovery where they can: · Learn formulas for gathering clues by observing a setting, situation, and people in it · Be empowered to figure out how the social world works through their own detective lens · Learn to identify feelings and emotions and connect them to behaviors · Understand that all feelings are okay, even uncomfortable ones, and we can still learn and grow · Get support from emojis and special word banks · Find core Social Thinking® Vocabulary words highlighted throughout to support and strengthen key learning concepts · Have numerous opportunities to make smart guesses about hidden social rules in various situations · See examples and tips for school, home, and community life · Celebrate how all of us are social observers who are affected by others’ actions and reactions
Author: Nathaniel Persily
Publisher: Cambridge University Press
ISBN: 1108835554
Category : Business & Economics
Languages : en
Pages : 365
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Book Description
A state-of-the-art account of what we know and do not know about the effects of digital technology on democracy.
Author: Justin Grimmer
Publisher: Princeton University Press
ISBN: 0691207550
Category : Computers
Languages : en
Pages : 360
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Book Description
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Author: Abd El-Latif, Ahmed A.
Publisher: IGI Global
ISBN: 1668469111
Category : Computers
Languages : en
Pages : 325
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Book Description
Social media platforms are one of the main generators of textual data where people around the world share their daily life experiences and information with online society. The social, personal, and professional lives of people on these social networking sites generate not only a huge amount of data but also open doors for researchers and academicians with numerous research opportunities. This ample amount of data needs advanced machine learning, deep learning, and intelligent tools and techniques to receive, process, and interpret the information to resolve real-life challenges and improve the online social lives of people. Advanced Applications of NLP and Deep Learning in Social Media Data bridges the gap between natural language processing (NLP), advanced machine learning, deep learning, and online social media. It hopes to build a better and safer social media space by making human language available on different social media platforms intelligible for machines with the blessings of AI. Covering topics such as machine learning-based prediction, emotion recognition, and high-dimensional text clustering, this premier reference source is an essential resource for OSN service providers, psychiatrists, psychologists, clinicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.
Author: Bibudhendu Pati
Publisher: Springer Nature
ISBN: 9819950155
Category :
Languages : en
Pages : 693
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Book Description
Author: Feng Bao
Publisher: Springer
ISBN: 3642312845
Category : Computers
Languages : en
Pages : 592
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Book Description
This book constitutes the refereed proceedings of the 10th International Conference on Applied Cryptography and Network Security, ACNS 2012, held in Singapore, in June 2012. The 33 revised full papers included in this volume were carefully reviewed and selected from 192 submissions. They are organized in topical sessions on authentication, key management, block ciphers, identity-based cryptography, cryptographic primitives, cryptanalysis, side channel attacks, network security, Web security, security and privacy in social networks, security and privacy in RFID systems, security and privacy in cloud systems, and security and privacy in smart grids.
Author: Wamuyu, Patrick Kanyi
Publisher: IGI Global
ISBN: 1799847195
Category : Computers
Languages : en
Pages : 358
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Book Description
Social media has revolutionized how individuals, communities, and organizations create, share, and consume information. Similarly, social media offers numerous opportunities as well as enormous social and economic ills for individuals, communities, and organizations. Despite the increase in popularity of social networking sites and related digital media, there are limited data and studies on consumption patterns of the new media by different global communities. Analyzing Global Social Media Consumption is an essential reference book that investigates the current trends, practices, and newly emerging narratives on theoretical and empirical research on all aspects of social media and its global use. Covering topics that include fake news detection, social media addiction, and motivations and impacts of social media use, this book is ideal for big data analysts, media and communications experts, researchers, academicians, and students in media and communications, information systems, and information technology study programs.
