Knowledge and expertise, especially of the kind that can shape public opinion, have been traditionally the domain of individuals holding degrees awarded by higher learning institutions or occupying formal positions in notable organizations. Expertise is validated by reputations established in an institutionalized marketplace of ideas with a limited number of “available seats” and a stringent process of selection and retention of names, ideas, topics and facts of interest. However, the social media revolution, which has enabled over two billion Internet users not only to consume, but also to produce information and knowledge, has created a secondary and very active informal marketplace of ideas and knowledge. Anchored by platforms like Wikipedia, YouTube, Facebook and Twitter, this informal marketplace has low barriers to entry and has become a gigantic and potentially questionable, knowledge resource for the public at large. Roles, Trust and Reputation in Social Media Knowledge Markets will discuss some of the emerging trends in defining, measuring and operationalizing reputation as a new and essential component of the knowledge that is generated and consumed online. The book will propose a future research agenda related to these issues. The ultimate goal of research agenda being to shape the next generation of theoretical and analytic strategies needed for understanding how knowledge markets are influenced by social interactions and reputations built around functional roles. The authors, including leading scholars and young innovators, will share with the readers some of the main lessons they have learned from their own work in these areas and will discuss the issues, topics and sub-areas that they find under-studied or that promise the greatest intellectual payoff in the future. The discussion will be placed in the context of social network analysis and “big data” research. Roles, Trust and Reputation in Social Media Knowledge Markets exposes issues that have not been satisfactorily dealt with in the current literature, as the research agenda in reputation and authorship is still emerging. In a broader sense, the volume aims to change the way in which knowledge generation in social media spaces is understood and utilized. The tools, theories and methodologies proposed by the contributors offer concrete avenues for developing the next generation of research strategies and applications that will help: tomorrow’s information consumers make smarter choices, developers to create new tools and researchers to launch new research programs.

The volume presents, in a synergistic manner, significant theoretical and practical contributions in the area of social media reputation and authorship measurement, visualization, and modeling. The book justifies and proposes contributions to a future agenda for understanding the requirements for making social media authorship more transparent. Building on work presented in a previous volume of this series, Roles, Trust, and Reputation in Social Media Knowledge Markets, this book discusses new tools, applications, services, and algorithms that are needed for authoring content in a real-time publishing world. These insights may help people who interact and create content through social media better assess their potential for knowledge creation. They may also assist in analyzing audience attitudes, perceptions, and behavior in informal social media or in formal organizational structures. In addition, the volume includes several chapters that analyze the higher order ethical, critical thinking, and philosophical principles that may be used to ground social media authorship. Together, the perspectives presented in this volume help us understand how social media content is created and how its impact can be evaluated. The chapters demonstrate thought leadership through new ways of constructing social media experiences and making traces of social interaction visible. Transparency in Social Media aims to help researchers and practitioners design services, tools, or methods of analysis that encourage a more transparent process of interaction and communication on social media. Knowing who has added what content and with what authority to a specific online social media project can help the user community better understand, evaluate and make decisions and, ultimately, act on the basis of such information.

Trust is important – it influences new technologies adoption and learning, enhances using social media, new technologies, IoT, and blockchain, and it contributes to the practical implementations of cybersecurity policy in organizations. This edited research volume examines the main issues and challenges associated with privacy and trust on social media in a manner relevant to both practitioners and scholars. Readers will gain knowledge across disciplines on trust and related concepts, theoretical underpinnings of privacy issues and trust on social media, and empirically-validated trust-building practice on social media. Social Media, Privacy Issues and Trust-building aims to bring together the theory and practice of social media, privacy issues, and trust. It offers a look at the current state of trust and privacy, including a comprehensive overview of both research and practical applications. It shows the latest state of knowledge on the topic and will be of interest to researchers, students at an advanced level, and academics, in the fields of business ethics, entrepreneurship, management of technology and innovation, marketing, and information management. Practitioners can also use the book as a toolbox to improve their understanding and promote opportunities related to building social media trust while taking into consideration of privacy issues.

What creates corporate reputations and how should organizations respond? Corporate reputation is a growing research field in disciplines as diverse as communication, management, marketing, industrial and organizational psychology, and sociology. As a formal area of academic study, it is relatively young with roots in the 1980s and the emergence of specialized reputation rankings for industries, products/services, and performance dimensions and for regions. Such rankings resulted in competition between organizations and the alignment of organizational activities to qualify and improve standings in the rankings. In addition, today’s changing stakeholder expectations, the growth of advocacy, demand for more disclosures and greater transparency, and globalized, mediatized environments create new challenges, pitfalls, and opportunities for organizations. Successfully engaging, dealing with, and working through reputational challenges requires an understanding of options and tools for organizational decision-making and stakeholder engagement. For the first time, the vast and important field of corporate reputation is explored in the format of an encyclopedic reference. The SAGE Encyclopedia of Corporate Reputation comprehensively overviews concepts and techniques for identifying, building, measuring, monitoring, evaluating, maintaining, valuing, living up to and/or changing corporate reputations. Key features include: 300 signed entries are organized in A-to-Z fashion in 2 volumes available in a choice of electronic or print formats Entries conclude with Cross-References and Further Readings to guide students to in-depth resources. Although organized A-to-Z, a thematic “Reader’s Guide” in the front matter groups related entries by broad areas A Chronology provides historical perspective on the development of corporate reputation as a discrete field of study. A Resource Guide in the back matter lists classic books, key journals, associations, websites, and selected degree programs of relevance to corporate reputation. A General Bibliography will be accompanied by visual maps noting the relationships between the various disciplines touching upon corporate reputation studies. The work concludes with a comprehensive Index, which—in the electronic version—combines with the Reader’s Guide and Cross-References to provide thorough search-and-browse capabilities

divThis book explores community dynamics within social media. Using Wikipedia as an example, the volume explores communities that rely upon commons-based peer production. Fundamental theoretical principles spanning such domains as organizational configurations, leadership roles, and social evolutionary theory are developed. In the context of Wikipedia, these theories explain how a functional elite of highly productive editors has emerged and why they are responsible for a majority of the content. It explains how the elite shapes the project and how this group tends to become stable and increasingly influential over time. Wikipedia has developed a new and resilient social hierarchy, an adhocracy, which combines features of traditional and new, online, social organizations. The book presents a set of practical approaches for using these theories in real-world practice. This work fundamentally changes the way we think about social media leadership and evolution, emphasizing the crucial contributions of leadership, of elite social roles, and of group global structure to the overall success and stability of large social media projects. Written in an accessible and direct style, the book will be of interest to academics as well as professionals with an interest in social media and commons-based peer production processes.

This volume presents current developments in the fields of banking and finance from an international perspective. Featuring contributions from the 5th International Conference on Banking and Finance Perspectives (ICBFP), this volume serves as a valuable forum for discussing current issues and trends in the banking and financial sectors, especially in light of the global economic challenges triggered by financial institutions. Using the latest theoretical models, new perspectives are brought to topics such as the global financial markets, international banking and finance, microfinance, fintech, and corporate finance. Offering an opportunity to explore the challenges of a rapidly changing industry, this volume will be of interest to academics, policy makers, and scholars in the fields of banking, insurance, and finance.

This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals. Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content; Suggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news; Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.