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Reference and Information Services
From the ongoing flood of misinformation to the swift changes occasioned by the pandemic, a myriad of factors is spurring our profession to rethink reference services. Luckily, this classic text is back in a newly overhauled edition that thoughtfully addresses the evolving reference landscape. Designed to complement every introductory library reference course, Cassell and Hiremath's book also serves as the perfect resource to guide current practitioners in their day-to-day work. It teaches failsafe methods for identifying important materials by matching specific types of questions to the best available sources, regardless of format. Guided by a national advisory board of educators and expert...
Undue Hate
How to understand the mistakes we make about those on the other side of the political spectrum—and how they drive the affective polarization that is tearing us apart. It’s well known that the political divide in the United States—particularly between Democrats and Republicans—has grown to alarming levels in recent decades. Affective polarization—emotional polarization, or the hostility between the parties—has reached an unprecedented fever pitch. In Undue Hate, Daniel F. Stone tackles the biases undergirding affective polarization head-on. Stone explains why we often develop objectively false, and overly negative, beliefs about the other side—causing us to dislike them more tha...
Euro-Par 2018: Parallel Processing
This book constitutes the proceedings of the 24th International Conference on Parallel and Distributed Computing, Euro-Par 2018, held in Turin, Italy, in August 2018. The 57 full papers presented in this volume were carefully reviewed and selected from 194 submissions. They were organized in topical sections named: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architecutres and compilers; parallel and distributed data management and analytics; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces, and languages; multicore and manycore methods and tools; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; and accelerator computing for advanced applications.
Progress in Location Based Services 2018
This book gathers a selection of the best papers presented during the 14th International Conference on Location Based Services, which was held in Zurich (Switzerland) between the 15th and 17th January 2018. It presents a general overview of recent research activities related to location based services. Such activities have grown in importance over the past several years, especially those concerning outdoor/indoor positioning, smart environments, spatial modeling, personalization and context-awareness, cartographic communication, novel user interfaces, crowdsourcing, social media, big data analysis, usability and privacy.
Machine Learning and Knowledge Discovery in Databases
The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy...
Machine Learning and Knowledge Discovery in Databases: Research Track
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models;...
Social Movements and the Law
"Black Lives Matter and #MeToo are two of the most prominent twenty-first-century social movements in the United States. On the ground and on social media, more people have taken an active stance in support of either or both movements than almost any others in the country's history. Social Movements and the Law brings together the voices of twelve scholars and public intellectuals to explore how Black Lives Matter and #MeToo unfolded-separately and together-and how they enrich, inform, and complicate each other. Structured in dialogues and punctuated with informative text boxes, illustrations, and discussion questions, this accessible guide to an increasingly influential area of the law centers rich intersectional analysis of both movements and prompts readers to undertake further reflection and conversation. At a time of heightened public attention to the broader scholarly study of human social behavior and interaction, this book shows rather than tells how people with different perspectives can engage one another with open minds and a generosity of spirit"--
Democratic Disunity
Democratic Disunity: Rhetorical Tribalism in 2020 addresses that while attention has recently and rightly been paid to the tribal bifurcation of the GOP, the Democratic Party is similarly divided. Americans live in a democratic republic rather than a direct democracy and choices regarding governing concerns are configured through communicative action. These choices include those made between and within American political parties. Without rhetorical mediation and intervention, toxic partisan tribalism within the two major American political parties is likely to destabilize the nations’ federalist system of government. Kelley argues that intraparty tribalism poisons public life and consumes ...
Building Back Truth in an Age of Misinformation
How can we build back truth online? Here’s how. How can we build back truth online? In this book, researcher Leslie F. Stebbins provides solutions for repairing our existing social media platforms and building better ones that prioritize value over profit, strengthen community ties, and promote access to trustworthy information. Stebbins provides a road map with six paths forward to understand how platforms are designed to exploit us, how we can learn to embrace agency in our interactions with digital spaces, how to build tools to reduce harmful practices, how platform companies can prioritize the public good, how we can repair journalism, and how to strengthen curation to promote trusted ...
Dark Machines
This book offers a critical primer on how Artificial Intelligence and digitalization are shaping our planet and the risks posed to society and environmental sustainability. As the pressure of human activities accelerates on Earth, so too does the hope that digital and artificially intelligent technologies will be able to help us deal with dangerous climate and environmental change. Technology giants, international think-tanks and policy-makers are increasingly keen to advance agendas that contribute to “AI for Good” or “AI for the Planet." Dark Machines explores why it is naïve and dangerous to assume converging forces of a growing climate crisis and technological change will act syne...
