Download or read book Detecting the Social written by Mary Evans and published by Springer. This book was released on 2018-09-15 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Download or read book Detecting the Social written by Mary Evans and published by Palgrave Macmillan. This book was released on 2018-09-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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/
Download or read book From Security to Community Detection in Social Networking Platforms written by Panagiotis Karampelas and published by Springer. This book was released on 2019-04-09 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Early Detection of Mental Health Disorders by Social Media Monitoring written by Fabio Crestani and published by Springer Nature. This book was released on 2022-09-14 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Text and Social Media Analytics for Fake News and Hate Speech Detection written by Hemant Kumar Soni and published by CRC Press. This book was released on 2024-08-21 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Multimodal Pattern Recognition of Social Signals in Human Computer Interaction written by Friedhelm Schwenker and published by Springer. This book was released on 2019-05-28 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-workshop proceedings of the 5th IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2018, held in Beijing, China, in August 2018. The 10 revised papers presented in this book focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition and pain intensity estimation, especially the question how to distinguish between human emotions from pain or stress induced by pain is discussed.
Download or read book Social Network Analysis Community Detection and Evolution written by Rokia Missaoui and published by Springer. This book was released on 2015-01-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.
Download or read book From Social Data Mining and Analysis to Prediction and Community Detection written by Mehmet Kaya and published by Springer. This book was released on 2017-03-21 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.
Download or read book Community detection and mining in social media written by Lei Tang and published by Springer Nature. This book was released on 2022-06-01 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale. This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular, we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of \emph{community detection and mining in social media}. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, some toy data sets used in the book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information. Table of Contents: Social Media and Social Computing / Nodes, Ties, and Influence / Community Detection and Evaluation / Communities in Heterogeneous Networks / Social Media Mining
Download or read book Social Media Analysis for Event Detection written by Tansel Özyer and published by Springer Nature. This book was released on 2022-10-18 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes chapters which discuss effective and efficient approaches in dealing with various aspects of social media analysis by using machine learning techniques from clustering to deep learning. A variety of theoretical aspects, application domains and case studies are covered to highlight how it is affordable to maximize the benefit of various applications from postings on social media platforms. Social media platforms have significantly influenced and reshaped various social aspects. They have set new means of communication and interaction between people, turning the whole world into a small village where people with internet connect can easily communicate without feeling any barriers. This has attracted the attention of researchers who have developed techniques and tools capable of studying various aspects of posts on social media platforms with main concentration on Twitter. This book addresses challenging applications in this dynamic domain where it is not possible to continue applying conventional techniques in studying social media postings. The content of this book helps the reader in developing own perspective about how to benefit from machine learning techniques in dealing with social media postings and how social media postings may directly influence various applications.
Download or read book Topic Detection and Classification in Social Networks written by Dimitrios Milioris and published by Springer. This book was released on 2017-10-05 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a novel method for topic detection and classification in social networks. The book addresses several research and technical challenges that are currently being investigated by the research community, from the analysis of relations and communications between members of a community, to quality, authority, relevance and timeliness of the content, traffic prediction based on media consumption, spam detection, to security, privacy and protection of personal information. Furthermore, the book discusses innovative techniques to address those challenges and provides novel solutions based on information theory, sequence analysis and combinatorics, which are applied on real data obtained from Twitter.
Download or read book Social Perception written by M.D. Rutherford and published by MIT Press. This book was released on 2013-08-30 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book You Are a Social Detective written by Michelle Garcia Winner and published by Think Social Publishing. This book was released on 2021-01-04 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Social Anxiety Disorder written by National Collaborating Centre for Mental Health (Great Britain) and published by . This book was released on 2013-08-01 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social anxiety disorder is persistent fear of (or anxiety about) one or more social situations that is out of proportion to the actual threat posed by the situation and can be severely detrimental to quality of life. Only a minority of people with social anxiety disorder receive help. Effective treatments do exist and this book aims to increase identification and assessment to encourage more people to access interventions. Covers adults, children and young people and compares the effects of pharmacological and psychological interventions. Commissioned by the National Institute for Health and Clinical Excellence (NICE). The CD-ROM contains all of the evidence on which the recommendations are based, presented as profile tables (that analyse quality of data) and forest plots (plus, info on using/interpreting forest plots). This material is not available in print anywhere else.
Download or read book Fraud Analytics Using Descriptive Predictive and Social Network Techniques written by Bart Baesens and published by John Wiley & Sons. This book was released on 2015-08-17 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.
