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We Need to Talk
Americans today are affectively polarized: they dislike and distrust those from the opposing political party more than they did in the past, with damaging consequences for their democracy. This Element tests one strategy for ameliorating such animus: having ordinary Democrats and Republicans come together for cross-party political discussions. Building on intergroup contact theory, the authors argue that such discussions will mitigate partisan animosity. Using an original experiment, they find strong support for this hypothesis – affective polarization falls substantially among subjects who participate in heterogeneous discussion (relative to those who participate in either homogeneous political discussion or an apolitical control). This Element also provides evidence for several of the mechanisms underlying these effects, and shows that they persist for at least one week after the initial experiment. These findings have considerable importance for efforts to ameliorate animus in the mass public, and for understanding American politics more broadly.
Embracing Philanthropic Environmentalism
This book addresses urban ecology, green technology, problems with climate change prediction, groundwater contamination, invasive species and many other topics, and offers a guardedly optimistic interpretation of humanity's place in nature and our unique caretaker role. Drawing upon scholarly and media sources, the author presents a common-sense analysis of environmental science, debunking eco-apocalyptic thinking along the way. Compromised science masquerading as authoritative is revealed as a fundraising and policy-influencing crusade by the environmental elite, overshadowing unambiguous problems like environmental racism.
Digital Communication and Populism in Times of Covid-19
This book examines different dimensions of digital communication and populism in times of the COVID-19 pandemic. While doing so, it discusses views, opinions, and research results regarding the conditions, experiences, constraints, benefits, and challenges related to the topic - not only using theoretical and methodological approaches but also practical perspectives. The COVID-19 (SARS-CoV-2) pandemic significantly accelerated the technological revolution presenting many social, economic, and political challenges, as it pushed the world into cyberspace to ensure social distancing. At the same time, many populist protests expressed in the digital public sphere massively gained importance duri...
Machine Learning for Experiments in the Social Sciences
Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions. However, applications of machine learning in causal inference are increasingly prevalent. This Element provides theoretical and practical introductions to machine learning for social scientists interested in applying such methods to experimental data. We show how machine learning can be useful for conducting robust causal inference and provide a theoretical foundation researchers can use to understand and apply new methods in this rapidly developing field. We then demonstrate two specific methods – the prediction rule ensemble and the causal random forest – for characterizing treatment effect heterogeneity in survey experiments and testing the extent to which such heterogeneity is robust to out-of-sample prediction. We conclude by discussing limitations and tradeoffs of such methods, while directing readers to additional related methods available on the Comprehensive R Archive Network (CRAN).
Truth-Seeking in an Age of (Mis)Information Overload
The unprecedented spread of false and misleading information is the flip side of the Internet's promise of universal access and information democratization. This volume features original contributions from scholars working on the challenge of misinformation across a wide range of STEM, humanities, and art disciplines. Modeling a collaborative, multidisciplinary "convergence approach," Truth-Seeking in an Age of (Mis)Information Overload is structured in three parts. Part one, "Misinformation and Artificial Intelligence," confronts the danger of outsourcing judgement and decision-making to AI instruments in key areas of public life, from the processing of loan applications to school funding, ...
From Charity to Justice
This book focuses on the ethical demands of extreme poverty and develops a political theory of practical change. Welding together political realism and moral aspirations, it argues that a re-imagined form of development NGO can help the global North break free from the dominant and persistent charity paradigm and drift towards a justice-based understanding of extreme poverty. It offers an original explanation of why the charity paradigm persists and why the “justice not charity” messages from development NGOs have changed few minds. The author argues that anyone concerned with a paradigm shift from charity to justice need to radically rethink the problem of political communication: who s...
The Routledge Companion to Media and Human Rights
The Routledge Companion to Media and Human Rights offers a comprehensive and contemporary survey of the key themes, approaches and debates in the field of media and human rights. The Companion is the first collection to bring together two distinct ways of thinking about human rights and media, including scholarship that examines media as a human right alongside that which looks at media coverage of human rights issues. This international collection of 49 newly written pieces thus provides a unique overview of current research in the field, while also providing historical context to help students and scholars appreciate how such developments depart from past practices. The volume examines the...
Polarized by Degrees
Over the past several decades, American society has experienced fundamental changes – from shifting relations between social groups and evolving language and behavior norms to the increasing value of a college degree. These transformations have polarized the nation's political climate and ignited a perpetual culture war. In a sequel to their award-winning collaboration Asymmetric Politics, Grossmann and Hopkins draw on an extensive variety of evidence to explore how these changes have affected both major parties. They show that the Democrats have become the home of highly-educated citizens with progressive social views who prefer credentialed experts to make policy decisions, while Republicans have become the populist champions of white voters without college degrees who increasingly distrust teachers, scientists, journalists, universities, non-profit organizations, and even corporations. The result of this new “diploma divide” between the parties is an increasingly complex world in which everything is about politics – and politics is about everything.
Information and Democracy
A large-scale empirical investigation into the frequency and accuracy of media coverage of public policy.
