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Words That Matter
How the 2016 news media environment allowed Trump to win the presidency The 2016 presidential election campaign might have seemed to be all about one man. He certainly did everything possible to reinforce that impression. But to an unprecedented degree the campaign also was about the news media and its relationships with the man who won and the woman he defeated. Words that Matter assesses how the news media covered the extraordinary 2016 election and, more important, what information—true, false, or somewhere in between—actually helped voters make up their minds. Using journalists' real-time tweets and published news coverage of campaign events, along with Gallup polling data measuring ...
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 ...
Big Data Meets Survey Science
Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more ...
Massive Graph Analytics
"Graphs. Such a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help keep up, you just need an editor who knows most people working with graphs, and have that editor gather nearly 70 researchers to summarize their work with graphs. The result is the book Massive Graph Analytics." — Timothy G. Mattson, Senior Principal Engineer, Intel Corp Expertise in massive-scale graph analytics is key for solving real-world grand challenges from healthcare to sustainability to detecting insider threats, cyber defense, and more. This book provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. Massive Graph Analytics will be beneficial to students, researchers, and practitioners in academia, national laboratories, and industry who wish to learn about the state-of-the-art algorithms, models, frameworks, and software in massive-scale graph analytics.
Barry Goldwater, Distrust in Media, and Conservative Identity
The perception that the news media in the United States have a liberal bias is a phenomenon that animates conservatives and affects the ways in which they consider both media content and political discourse. Despite professional standards that have been put in place to prevent deliberate bias, conservatives would argue that the news media tilt deliberately to the left. Barry Goldwater, Distrust in Media, and Conservative Identity: The Perception of Liberal Bias in the News explores the origins of this perception of a liberal bias—while managing to avoid the highly subjective quagmire of attempting to measure bias—by instead positing a social identity explanation for the perception. Rich ...
Disinformation in Open Online Media
This book constitutes the refereed proceedings of the 4th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2022, held in October 2022. The 7 full papers and 3 short papers were carefully reviewed and selected from 17 full/short paper submissions. The papers focus on health and climate change misinformation, social bots and comment moderation, information seeking and diffusion, misinformation detection, and user perception-based trust models.
Bit by Bit
This essential guide to doing social research in this fast-evolving digital age explains how the digital revolution is transforming the way social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations.
Stable Condition
The Affordable Care Act (ACA), the sweeping health care reform enacted by the Obama Administration in 2010, continues to be a contentious policy at the center of highly polarized political debates. Both before and after the law’s passage, political elites on both sides of the issue attempted to sway public opinion through two traditional approaches: messaging and policymaking itself. They operated under the assumption that the public’s personal experiences toward the law would make them more favorable. Yet these tried-and-true methods have had limited influence on public attitudes toward the ACA. Public opinion towards the ACA remained stable from 2010 to 2016, with more Americans opposi...
Web-Age Information Management
This book constitutes the refereed proceedings of the 12th International Conference on Web-Age Information Management, WAIM 2011, held in Wuhan, China in September 2011. The 53 revised full papers presented together with two abstracts and one full paper of the keynote talks were carefully reviewed and selected from a total of 181 submissions. The papers are organized in topical sections on query processing, uncertain data, social media, semantics, data mining, cloud data, multimedia data, user models, data management, graph data, name disambiguation, performance, temporal data, XML, spatial data and event detection.
Finding the Teacher Self
Finding the Teacher Self offers a foundation to begin and sustain a discussion with preservice and in-service teachers about the role of teacher identities in the classrooms, what their teacher identity is, and how they can continue to develop it. The book is intended to create a backdrop to deepen conversations with and between teachers and administrators on topics that are often avoided or devalued in the contemporary education discourse. Through the delineation of background information from scholarly sources and related discussion prompts and questions, real and constructive conversation can be fostered across the educational landscape including undergraduate and graduate classes, faculty meetings, professional development workshops, or ongoing district-based or school-based reflective teaching projects.
