Automatic Detection Of Verbal Deception

The attempt to spot deception through its correlates in human behavior has a long history. Until recently, these efforts have concentrated on identifying individual "cues" that might occur with deception. However, with the advent of computational means to analyze language and other human behavior, we now have the ability to determine whether there are consistent clusters of differences in behavior that might be associated with a false statement as opposed to a true one. While its focus is on verbal behavior, this book describes a range of behaviors—physiological, gestural as well as verbal—that have been proposed as indicators of deception. An overview of the primary psychological and cognitive theories that have been offered as explanations of deceptive behaviors gives context for the description of specific behaviors. The book also addresses the differences between data collected in a laboratory and "real-world" data with respect to the emotional and cognitive state of the liar. It discusses sources of real-world data and problematic issues in its collection and identifies the primary areas in which applied studies based on real-world data are critical, including police, security, border crossing, customs, and asylum interviews; congressional hearings; financial reporting; legal depositions; human resource evaluation; predatory communications that include Internet scams, identity theft, and fraud; and false product reviews. Having established the background, this book concentrates on computational analyses of deceptive verbal behavior that have enabled the field of deception studies to move from individual cues to overall differences in behavior. The computational work is organized around the features used for classification from -gram through syntax to predicate-argument and rhetorical structure. The book concludes with a set of open questions that the computational work has generated.

Deception and truth-telling weave through the fabric of nearly all human interactions and every communication context. The Palgrave Handbook of Deceptive Communication unravels the topic of lying and deception in human communication, offering an interdisciplinary and comprehensive examination of the field, presenting original research, and offering direction for future investigation and application. Highly prominent and emerging deception scholars from around the world investigate the myriad forms of deceptive behavior, cross-cultural perspectives on deceit, moral dimensions of deceptive communication, theoretical approaches to the study of deception, and strategies for detecting and deterring deceit. Truth-telling, lies, and the many grey areas in-between are explored in the contexts of identity formation, interpersonal relationships, groups and organizations, social and mass media, marketing, advertising, law enforcement interrogations, court, politics, and propaganda. This handbook is designed for advanced undergraduate and graduate students, academics, researchers, practitioners, and anyone interested in the pervasive nature of truth, deception, and ethics in the modern world.

Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.

This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International Conference on Computer Vision and Image Processing. held in Jaipur, India, in September 2019. The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized by the topical headings in two parts. Part I: Biometrics; Computer Forensic; Computer Vision; Dimension Reduction; Healthcare Information Systems; Image Processing; Image segmentation; Information Retrieval; Instance based learning; Machine Learning.Part II: ​Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering.

This book is an introduction to both offensive and defensive techniques of cyberdeception. Unlike most books on cyberdeception, this book focuses on methods rather than detection. It treats cyberdeception techniques that are current, novel, and practical, and that go well beyond traditional honeypots. It contains features friendly for classroom use: (1) minimal use of programming details and mathematics, (2) modular chapters that can be covered in many orders, (3) exercises with each chapter, and (4) an extensive reference list.Cyberattacks have grown serious enough that understanding and using deception is essential to safe operation in cyberspace. The deception techniques covered are impersonation, delays, fakes, camouflage, false excuses, and social engineering. Special attention is devoted to cyberdeception in industrial control systems and within operating systems. This material is supported by a detailed discussion of how to plan deceptions and calculate their detectability and effectiveness. Some of the chapters provide further technical details of specific deception techniques and their application. Cyberdeception can be conducted ethically and efficiently when necessary by following a few basic principles. This book is intended for advanced undergraduate students and graduate students, as well as computer professionals learning on their own. It will be especially useful for anyone who helps run important and essential computer systems such as critical-infrastructure and military systems.

Why do people lie? Do gender and personality differences affect how people lie? How can lies be detected? Detecting Lies and Deceit provides the most comprehensive review of deception to date. This revised edition provides an up-to-date account of deception research and discusses the working and efficacy of the most commonly used lie detection tools, including: Behaviour Analysis Interview Statement Validity Assessment Reality Monitoring Scientific Content Analysis Several different polygraph tests Voice Stress Analysis Thermal Imaging EEG-P300 Functional Magnetic Resonance Imaging (fMRI) All three aspects of deception are covered: nonverbal cues, speech and written statement analysis and (neuro)physiological responses. The most common errors in lie detection are discussed and practical guidelines are provided to help professionals improve their lie detection skills. Detecting Lies and Deceit is a must-have resource for students, academics and professionals in psychology, criminology, policing and law.

Why do people lie, and how can lies be detected? There is now a substantial psychological literature relating to these fundamental questions, and this book reviews the relevant knowledge in detail, before focusing on guidelines for best practice in detecting deception. Psychological research is now available on individual differences in lying behaviour (gender differences, age differences and personality). There is also interesting research evidence of the ways in which deception is reflected both in real objective non-verbal behaviour and also in the perceived non-verbal cues which can help or mislead the observer in detecting deception. Although the book does include a major survey of the physiological aspects of deception and the polygraph as a method of detection, it also includes a thorough review of current knowledge of content analysis and validity assessment of speech and written statements. The book ends by discussing how professionals can improve lie detection by focusing on key aspects of the behaviour of the liar and by awareness and control of their own behaviour. Covers all three aspects of deception?non-verbal cues, speech and written statement analysis, and physiological responses Focuses on the behaviour and perceptions of the observer which can hinder the process of detection Based on the author?s expert review of the research and evidence, and on his practical experience and connections with several police forces "Without doubt, this book is the most important contribution to research and practice in lie detection to be published in years. For the first time research about verbal, nonverbal and physiological correlates of truth telling and deception are reviewed comprehensively in one text. This book will benefit those who have to decide whether people are telling the truth or lying, because it both reviews contemporary research and provides practical guidelines." Frans Willem Winkel, Free University of Amsterdam President EAPL (European Association of Psychology and Law) This book is aimed at students, academics and professionals in psychology, criminology, policing and law.

Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, no concise set of factors has been yet defined that really affects how writers’ sentiment i.e., broadly human sentiment is expressed, perceived, recognized, processed, and interpreted in natural languages. The existing reported solutions or the available systems are still far from perfect or fail to meet the satisfaction level of the end users. The reasons may be that there are dozens of conceptual rules that govern sentiment and even there are possibly unlimited clues that can convey these concepts from realization to practical implementation. Therefore, the main aim of this book is to provide a feasible research platform to our ambitious researchers towards developing the practical solutions that will be indeed beneficial for our society, business and future researches as well.