Social media has emerged as a powerful tool that reaches a wide audience with minimum time and effort. It has a diverse role in society and human life and can boost the visibility of information that allows citizens the ability to play a vital role in creating and fostering social change. This practice can have both positive and negative consequences on society. Examining the Roles of IT and Social Media in Democratic Development and Social Change is a collection of innovative research on the methods and applications of social media within community development and democracy. While highlighting topics including information capitalism, ethical issues, and e-governance, this book is ideally designed for social workers, politicians, public administrators, sociologists, journalists, policymakers, government administrators, academicians, researchers, and students seeking current research on social advancement and change through social media and technology.

A FINANCIAL TIMES BOOK OF THE YEAR A call to action for the creative class and labour movement to rally against the power of Big Tech and Big Media. Corporate concentration has breached the stratosphere, as have corporate profits. An ever-expanding constellation of industries are now monopolies (where sellers have excessive power over buyers) or monopsonies (where buyers hold the whip hand over sellers) - or both. Scholar Rebecca Giblin and writer and activist Cory Doctorow argue we're in a new era of 'chokepoint capitalism', with exploitative businesses creating insurmountable barriers to competition that enable them to capture value that should rightfully go to others. All workers are weakened by this, but the problem is especially well illustrated by the plight of creative workers. By analysing book publishing and news, live music and music streaming, screenwriting, radio, and more, Giblin and Doctorow deftly show how powerful corporations construct 'anti-competitive flywheels' designed to lock in users and suppliers, make their markets hostile to new entrants, and then force workers and suppliers to accept unfairly low prices. In the book's second half, Giblin and Doctorow explain how to batter through those chokepoints, with tools ranging from transparency rights to collective action and ownership, radical interoperability, contract terminations, job guarantees, and minimum wages for creative work. Chokepoint Capitalism is a call to workers of all sectors to unite to help smash these chokepoints and take back the power and profit that's being heisted away - before it's too late.

This invaluable manual from world-renowned expert Johnny Saldana illuminates the process of qualitative coding and provides clear, insightful guidance for qualitative researchers at all levels. The fourth edition includes a range of updates that build upon the huge success of the previous editions: A structural reformat has increased accessibility; the 3 sections from the previous edition are now spread over 15 chapters for easier sectional reference There are two new first cycle coding methods join the 33 others in the collection: Metaphor Coding and Themeing the Data: Categorically Includes a brand new companion website with links to SAGE journal articles, sample transcripts, links to CAQDAS sites, student exercises, links to video and digital content Analytic software screenshots and academic references have been updated, alongside several new figures added throughout the manual It remains the only book that looks specifically at coding qualitative data, as a core but often neglected skill that researchers and students alike need to effectively make sense of their data and to identify patterns, before they can analyse the material. Saldana presents a range of coding options with advantages and disadvantages to help researchers to choose the most appropriate approach for their project, reinforcing their perspective with real world examples, used to show step-by-step processes and to demonstrate important skills.

Most students struggle with learning how to find references, use them effectively, and cite them appropriately in a required format. One of the most common formats is that of APA. The authors all have vast experience teaching writing courses to various levels of studentsfrom undergraduates to graduates in other countries. However, there was lacking a book that could explain the basics of APA in simple, easy-to-understand language for non-native speakers of English, who are often unfamiliar with using references and formatting an essay in a particular method. In order to offer English Learner student writers a source of information that is appropriate for their level, and is cost-effective, this updated APA 7th edition guidebook provides students with important information in clear, concise, user-friendly language, as well as to offer practical examples that will help them grasp the concept of secondary research writing. Much of the published materials on the market targets native speakers of English. The problem with this is that they present the nitpicky details of APA in ways that do not make sense to native speakers of English, let alone to those for whom English is not their first language, because the information is presented in very technical terms that are not easyto understand. This handbook presents the same information in simplified terms with images and step-by-step instructions in ways that make sense to both native and non-native English speaking student writers. Additionally, student writers often struggle with understanding the concept of plagiarism, as well as how to find sources, evaluate the appropriateness of sources, and use sources in effective ways (e.g., how to integrate quotes, when to paraphrase, among others). This book provides this important information that is concise and easy to understand. NOTE: This is a REVISED edition of our original The Concise APA Handbook, which has been updated for APA 7th edition, which was issued in the fall, 2019.

Link prediction is required to understand the evolutionary theory of computing for different social networks. However, the stochastic growth of the social network leads to various challenges in identifying hidden links, such as representation of graph, distinction between spurious and missing links, selection of link prediction techniques comprised of network features, and identification of network types. Hidden Link Prediction in Stochastic Social Networks concentrates on the foremost techniques of hidden link predictions in stochastic social networks including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community detections. The book also includes miscellaneous methods of different modalities in deep learning, agent-driven AI techniques, and automata-driven systems and will improve the understanding and development of automated machine learning systems for supervised, unsupervised, and recommendation-driven learning systems. It is intended for use by data scientists, technology developers, professionals, students, and researchers.

Taking the Fear Out of Data Analysis provides readers with the necessary knowledge and skills to understand, perform, and interpret quantitative data analysis effectively. Acknowledging that people often dislike statistics and quantitative methods, this book illustrates that statistical reasoning can be a fun and intuitive part of our lives. Key Features: Split into three sections covering how to understand data, preparing data for analysis and carrying out the analysis Blends theory with practical examples in a logical and straightforward manner to guide readers in making sense of statistical inference Offers universal knowledge that can be applied to a variety of software applications with limited technical complexity to aid the learning process Short and concise chapters focusing on the essence of the topics covered, such as analytical techniques that are typically used in behavioral and social science research Significantly revised and updated, this textbook is an essential text for both undergraduate and postgraduate students in fields such as information systems, international business and marketing. It will also be beneficial for practitioners involved in data science, data analytics, and market research.

This book traces the cultural transformation of nostalgia on the Chinese screen over the past three decades. It explores how filmmakers from different generations have engaged politically with China's rapidly changing post-socialist society as it has been formed through three mutually constitutive frameworks: political discourse, popular culture and state-led media commercialisation. The book offers a new, critical model for understanding relationships between filmmakers, industry and the State.

During the Brexit referendum campaign it became clear how easily national conversations around politics could become raucous and bitter. This book explores the nature of talking about politically contentious issues and how our society can begin to develop a more constructive culture of political talk. Uniquely, this study focuses on citizens own experiences and reflections on developing, practising and evaluating their own political voices. Based on seventy in-depth interviews with a diverse range of people, Stephen Coleman explores the intricate nature of interpersonal political talk and what this means for public attitudes towards politics and how people negotiate their political identities. Engaging with a broad range of subjects from Political Communication to Sociology this book offers valuable insight into how the public can discuss politically turbulent topics in a meaningful and constructive way.

Human resource management as a field of research is a broad church, with a wide variety of research methods in use. This Handbook focuses on qualitative research methods and explores the opportunities and challenges of new technologies for innovating data collection and data analysis. The editors have brought together 18 chapters, written by some of the world's leading researchers in their field. They begin with the importance of good project design and then move on to reflect on innovations and developments in data sources, such as netnographical methods, legal research methods, the use of news media, and historical research. They go on to outline innovations in data collection methods with particular pertinence to key HRM topics. Finally, the contributors explore innovative data analysis, looking at the importance of computer-supported qualitative research, causal cognitive mapping and deriving behavioural role descriptions from the perspectives of job-holders. This Handbook is an invaluable tool for students, researchers and academics in the field of human resource management. Contributors: P. Ackers, S. Branch, R. Cameron, C. Cassell, G. Clarkson, J. Cogin, J. Ewart, M.T. Hardin, M. Humphreys, R. Johnstone, M. Learmonth, D. Lewin, R. Loudoun, F. Malik, A. McDowall, J.L. Ng, W. Nienhueser, L.S. Radcliffe, S. Ramsay, J. Richards, C. Rojon, S. Sambrook, M.N.K. Saunders, K. Townsend, K.L. Unsworth, R. Winter