The Rules of Persuasion not only explains exactly how persuasion works in all forms of human communication, but it also presents a clear and effective model you can use to put the elements and chemistry of persuasion to work for you in your personal and professional lives. Using insights and examples from art to history to literature to hip-hop, author Carlos Alvarenga updates and expands ideas first presented in Aristotle’s Rhetoric, adding original observations regarding the role of the audience in persuasion, persuasion in social media, as well as what happens when the rules of persuasion are used to deceive and corrupt audiences—even entire nations. “From Aristotle to Instagram, Carlos Alvarenga weaves together examples from ancient Greek and Roman texts to modern-day art, film, hip-hop, and social media to provide a useful overview of the tools and levers of persuasion in a variety of contexts. Informative and thought-provoking, this book illuminates the exact ways in which words and ideas, persuasively communicated, have shaped people's actions and beliefs from antiquity to the present.” —Jason Steinhauer, bestselling author, History, Disrupted: How Social Media & the Worldwide Web Have Changed the Past “Many of us in the arts struggle to communicate to different audiences in ways that inspire. The insights of Carlos Alvarenga draw on decades of experience helping leaders craft and convey their message. By laying out a clear approach with examples ranging from real-life coaching experiences to ad campaigns to artworks, he transforms the ‘art’ of persuasion into a practical framework that enables readers to sharpen their abilities to influence and motivate others.” —Amy Landau, Ph.D., Director of Education and Interpretation, Fowler Museum at UCLA

The Second Edition of The SAGE Handbook of Persuasion: Developments in Theory and Practice provides readers with logical, comprehensive summaries of research in a wide range of areas related to persuasion. From a topical standpoint, this handbook takes an interdisciplinary approach, covering issues that will be of interest to interpersonal and mass communication researchers as well as to psychologists and public health practitioners.

A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.

The death of Diana, Princess of Wales, on September 1 1997, prompted public demonstrations of grief on an almost unprecented global scale. But, while global media coverage of the events following her death appeared to create an international 'community of mourning', popular reacions in fact reflected the complexities of the princess's public image and the tensions surrounding the popular conception of royalty. Mourning Diana examines the events which followed the death of Diana as a series of cultural-political phenomena, from the immediate aftermath as crowds gathered in public spaces and royal palaces, to the state funeral in Westminister Abbey, examining the performance of grief and the involvement of the global media in the creation of narratives and spectacles relating to the commemoration of her life. Contributors investigate the complex iconic status of Diana, as a public figure able to sustain a host of alternative identifications, and trace the posthumous romanticisation of aspects of her life such as her charity activism and her relationship with Dodi al Fayed. The contributors argue that the events following the death of Diana dramatised a complex set of cultural tensions in which the boundaries dividing nationhood and citizenship, charity and activism, private feeling and public politics, were redrawn.

FLINS, an acronym originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, was inaugurated by Prof. Da Ruan of the Belgian Nuclear Research Center (SCK·CEN) in 1994 with the purpose of providing PhD and Postdoc researchers with a platform to present their research ideas in fuzzy logic and artificial intelligence. For more than 28 years, FLINS has been expanded to include research in both theoretical and practical development of computational intelligent systems.With this successful conference series: FLINS1994 and FLINS1996 in Mol, FLINS1998 in Antwerp, FLINS2000 in Bruges, FLINS2002 in Gent, FLINS2004 in Blankenberge, FLINS2006 in Genova, FLINS2008 in Marid, FLINS2010 in Chengdu, FLINS2012 in Istanbul, FLINS2014 in Juan Pesoa, FLINS2016 in Roubaix, FLINS2018 in Belfast and FLINS2020 in Cologne, FLINS2022 was organized by Nankai University, and co-organized by Southwest Jiaotong University, University of Technology Sydney and Ecole Nationale Supérieure des Arts et Industries Textiles of University of Lille. This unique international research collaboration has provided researchers with a platform to share and exchange ideas on state-of-art development in machine learning, multi agent and cyber physical systems.Following the wishes of Prof. Da Ruan, FLINS2022 offered an international platform that brought together mathematicians, computer scientists, and engineers who are actively involved in machine learning, intelligent systems, data analysis, knowledge engineering and their applications, to share their latest innovations and developments, exchange notes on the state-of-the-art research ideas, especially in the areas of industrial microgrids, intelligent wearable systems, sustainable development, logistics, supply chain and production optimization, evaluation systems and performance analysis, as well as risk and security management, that have now become part and parcel of Fuzzy Logic and Intelligent Technologies in Nuclear Science.This FLINS2022 Proceedings has selected 78 conference papers that cover the following seven areas of interests:

This book constitutes the thoroughly refereed post-proceedings of the Second International Conference on Persuasive Technology for Human Well-Being, PERSUASIVE 2007, held in Palo Alto, CA, USA, in April 2007. The 37 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections and cover a broad range of subjects.

Selected by Choice magazine as an Outstanding Academic Title Jane Austen, arguably the most beloved of all English novelists, has been regarded both as a feminist ahead of her time and as a social conservative whose satiric comedies work to regulate rather than to liberate. Such viewpoints, however, do not take sufficient stock of the historical Austen, whose writings, as William Galperin shows, were more properly oppositional rather than either disciplinary or subversive. Reading the history of her novels' reception through other histories—literary, aesthetic, and social—The Historical Austen is a major reassessment of Jane Austen's achievement as well as a corrective to the historical Austen that abides in literary scholarship. In contrast to interpretations that stress the conservative aspects of the realistic tradition that Austen helped to codify, Galperin takes his lead from Austen's contemporaries, who were struck by her detailed attention to the dynamism of everyday life. Noting how the very act of reading demarcates an horizon of possibility at variance with the imperatives of plot and narrative authority, The Historical Austen sees Austen's development as operating in two registers. Although her writings appear to serve the interests of probability in representing "things as they are," they remain, as her contemporaries dubbed them, histories of the present, where reality and the prospect of change are continually intertwined. In a series of readings of the six completed novels, in addition to the epistolary Lady Susan and the uncompleted Sanditon, Galperin offers startling new interpretations of these texts, demonstrating the extraordinary awareness that Austen maintained not only with respect to her narrative practice—notably, free indirect discourse—but also with attention to the novel's function as a social and political instrument.

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using R An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

The INTERACT Conferences are an important platform for researchers and practitioners in the field of human-computer interaction (HCI) to showcase their work. They are organised biennially by the International Federation for Information Processing Technical Committee on Human–Computer Interaction (IFIP TC13), a committee of 30 member national societies and 9 Working Groups. The 17th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2019) took place during 2-6 September 2019 in Paphos, Cyprus. The conference was held at the Coral Beach Hotel Resort, and was co-sponsored by the Cyprus University of Technology and Tallinn University, in cooperation with ACM and ACM SIGCHI. With an emphasis on inclusiveness, these conferences work to lower the barriers that prevent people in developing countries from participating in conferences. As a multidisciplinary field, HCI requires interaction and discussion among diverse people with different interests and backgrounds. This volume contains the Adjunct Proceedings to the 17th INTERACT Conference, and comprises a series of papers from the workshops. It follows the INTERACT Conference tradition of the publication of adjunct proceedings by a University Press which has a connection to the conference itself. This tradition has been established to enhance the outreach and reputation of the University Press chosen. For INTERACT 2019, both the Conference Program Chair, Dr Fernando Loizides, and the Adjunct Proceedings Chair of the conference, Dr Usashi Chatterjee, work at Cardiff University which is the home of Cardiff University Press.