This Element explores the sentiment and keyword features in both authorship profiling and authorship attribution in social media texts in the Chinese cultural context. The key findings can be summarised as follows: firstly, sentiment scores and keyword features are distinctive in delineating authors' gender and age. Specifically, female and younger authors tend to be less optimistic and use more personal pronouns and graduations than male and older authors, respectively. Secondly, these distinctive profiling features are also distinctive and significant in authorship attribution. Thirdly, our mindset, shaped by our inherent hormonal influences and external social experiences, plays a critical role in authorship. Theoretically, the findings expand authorship features into underexplored domains and substantiate the theory of mindset. Practically, the findings offer some broad quantitative benchmarks for authorship profiling cases in the Chinese cultural context, and perhaps other contexts where authorship profiling analyses have been used. This title is also available as Open Access on Cambridge Core.

Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.

Exploring the interplay of love, money and threat in romance fraud, this Element reveals how language is used to persuade, manipulate, and threaten without causing alarm. It provides the first empirical examination of criminal interactions-in-action that exposes and tracks the grooming process and manipulation techniques from first contact with the fraudster, to the transition between romance and finance, and requests for money and intimate images, before morphing into explicit threats and acts of sextortion. Through the use of a range of interactional methodologies and real romance fraud messages, a new type of criminality in the form of 'romance fraud enabled sextortion' is revealed. The insights contained in this work have clear implications for future directions of academic exploration and practitioner efforts to protect the public. This title is also available as Open Access on Cambridge Core.

How the World Changed Social Media is the first book in Why We Post, a book series that investigates the findings of anthropologists who each spent 15 months living in communities across the world. This book offers a comparative analysis summarising the results of the research and explores the impact of social media on politics and gender, education and commerce. What is the result of the increased emphasis on visual communication? Are we becoming more individual or more social? Why is public social media so conservative? Why does equality online fail to shift inequality offline? How did memes become the moral police of the internet? Supported by an introduction to the project’s academic framework and theoretical terms that help to account for the findings, the book argues that the only way to appreciate and understand something as intimate and ubiquitous as social media is to be immersed in the lives of the people who post. Only then can we discover how people all around the world have already transformed social media in such unexpected ways and assess the consequences

Focusing on adversarial legal settings, this Element explores discursive practices in court proceedings which often involve unrepresented parties – private family proceedings and small claims cases. Such proceedings present the main caseload of county and family courts, but pose immense challenges when it comes to legal-lay communication. Drawing on court observations, alongside textual and interview data, the Element pursues three aims: (1) developing the methodological and theoretical framework for exploring discursive practices in legal settings; (2) establishing the link between legal-lay discourse and procedural justice; (3) presenting and contextualising linguistic phenomena as an inherent part of court research and practice. The Element illustrates how linguistic input can contribute to procedural changes and court reforms across different adversarial and non-adversarial legal settings. The exploration of discursive practices embedded in court processes and procedures consolidates and advances the existing court research conducted within the fields of socio-legal studies and forensic linguistics. This title is also available as Open Access on Cambridge Core.

This book presents the outcomes of the 2017 International Conference on Applications and Techniques in Cyber Security and Intelligence, which focused on all aspects of techniques and applications in cyber and electronic security and intelligence research. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods and applications on all aspects of cyber and electronic security and intelligence.

This book constitutes the thoroughly refereed post-conference proceedings of the 9th Interntaional Workshop on Digital Watermarking, IWDW 2010, held in Seoul, Korea, in October 2010. The 26 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on forensics, visual cryptography, robust watermarking, steganography, fingerprinting, and steganalysis.

This two-volume set, consisting of LNCS 7816 and LNCS 7817, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, CICLING 2013, held on Samos, Greece, in March 2013. The total of 91 contributions presented was carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections named: general techniques; lexical resources; morphology and tokenization; syntax and named entity recognition; word sense disambiguation and coreference resolution; semantics and discourse; sentiment, polarity, subjectivity, and opinion; machine translation and multilingualism; text mining, information extraction, and information retrieval; text summarization; stylometry and text simplification; and applications.

The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.