Automating The News


Automating The News
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Automating The News


Automating The News
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Author : Nicholas Diakopoulos
language : en
Publisher:
Release Date : 2019

Automating The News written by Nicholas Diakopoulos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Computers categories.


From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. Nicholas Diakopoulos explains the present and future of a world in which algorithms have changed how the news is created, disseminated, and received, and he shows why journalists--and their values--are at little risk of being replaced.



Algorithms Automation And News


Algorithms Automation And News
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Author : Neil Thurman
language : en
Publisher: Routledge
Release Date : 2021-05-18

Algorithms Automation And News written by Neil Thurman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-18 with Language Arts & Disciplines categories.


This book examines the growing importance of algorithms and automation—including emerging forms of artificial intelligence—in the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and computation with scholarly and professional terrain yet to be explored. Taken as a whole, these chapters share some of the noble ambitions of the pioneering publications on ‘reporting algorithms’, such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, they problematise computational journalism by, for example, pointing out some of the challenges inherent in applying artificial intelligence to investigative journalism and in trying to preserve public service values. Fourthly, they offer suggestions for future research and practice, including by presenting a framework for developing democratic news recommenders and another that may help us think about computational journalism in a more integrated, structured manner. The chapters in this book were originally published as a special issue of Digital Journalism.



Automating Inequality


Automating Inequality
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Author : Virginia Eubanks
language : en
Publisher: St. Martin's Press
Release Date : 2018-01-23

Automating Inequality written by Virginia Eubanks and has been published by St. Martin's Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-23 with Social Science categories.


WINNER: The 2018 McGannon Center Book Prize and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice The New York Times Book Review: "Riveting." Naomi Klein: "This book is downright scary." Ethan Zuckerman, MIT: "Should be required reading." Dorothy Roberts, author of Killing the Black Body: "A must-read." Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Cory Doctorow: "Indispensable." A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years—because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.



Digital Journalism Drones And Automation


Digital Journalism Drones And Automation
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Author : Cate Dowd
language : en
Publisher: Oxford University Press, USA
Release Date : 2020

Digital Journalism Drones And Automation written by Cate Dowd and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Language Arts & Disciplines categories.


""The next generation of systems and practices in journalism will require knowledge beyond online editing techniques, aggregation, social media flow and assumptions about fake news. The profession may also want to aim for ethical practices in journalism to be embedded in algorithms for new systems. Engagement in an early design phase may also be useful for scoping reforms for online and social media legislation. However, these pursuits require higher levels of understanding about backend data and online systems, and development of formal vocabulary for journalism concepts and practices. This new domain knowledge should also be expressed in ontological models, informed by participatory approaches. Some problems to be addressed include editorial control issues and fair distribution of news stories and other challenges of data and online systems. Problematic issues should also include the lack of transparency in corporate data sharing arrangements. The semantic language for future systems for journalism will be distinctly different from the vocabulary and classifications used for online news tags. It will also need to distinguish the vocabulary for social media things in context of journalism. Most importantly, the design of new systems will need participatory and semantic design methods that can support the need for high-level knowledge of data and semantic search methods. The influence of social media partnerships in news and backend data sharing are other problem areas. Data via integrated media systems in news organisations flows onto cloud servers where it is processed with a myriad of methods. These hubs are for the new generation of data sharing, where large volumes of data are sorted and processed at accelerated speeds, for a range of purposes. Cloud servers are now literally the highest levels of digital convergence, other than legislation, and the latter is lagging. This is where data is shared for advertising, social media benefits and other domain purposes. Integrated media systems bring benefits for global networked news media organisations, but they also enable more monetisation of data via cloud servers. ""--



Newsmakers


Newsmakers
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Author : Francesco Marconi
language : en
Publisher: Columbia University Press
Release Date : 2020-04-07

Newsmakers written by Francesco Marconi and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-07 with Language Arts & Disciplines categories.


Will the use of artificial intelligence (AI), algorithms, and smart machines be the end of journalism as we know it—or its savior? In Newsmakers, Francesco Marconi, who has led the development of the Associated Press and Wall Street Journal’s use of AI in journalism, offers a new perspective on the potential of these technologies. He explains how reporters, editors, and newsrooms of all sizes can take advantage of the possibilities they provide to develop new ways of telling stories and connecting with readers. Marconi analyzes the challenges and opportunities of AI through case studies ranging from financial publications using algorithms to write earnings reports to investigative reporters analyzing large data sets to outlets determining the distribution of news on social media. Newsmakers contends that AI can augment—not automate—the industry, allowing journalists to break more news more quickly while simultaneously freeing up their time for deeper analysis. Marshaling insights drawn from firsthand experience, Marconi maps a media landscape transformed by artificial intelligence for the better. In addition to considering the benefits of these new technologies, Marconi stresses the continuing need for editorial and institutional oversight. Newsmakers outlines the important questions that journalists and media organizations should consider when integrating AI and algorithms into their workflow. For journalism students as well as seasoned media professionals, Marconi’s insights provide much-needed clarity and a practical roadmap for how AI can best serve journalism.



Automating Open Source Intelligence


Automating Open Source Intelligence
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Author : Robert Layton
language : en
Publisher: Syngress
Release Date : 2015-12-03

Automating Open Source Intelligence written by Robert Layton and has been published by Syngress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-03 with Computers categories.


Algorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social research, this book provides recent advances in text mining, web crawling, and other algorithms that have led to advances in methods that can largely automate this process. The book is beneficial to both practitioners and academic researchers, with discussions of the latest advances in applications, a coherent set of methods and processes for automating OSINT, and interdisciplinary perspectives on the key problems identified within each discipline. Drawing upon years of practical experience and using numerous examples, editors Robert Layton, Paul Watters, and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT, Named Entity Resolution in Social Media, Analyzing Social Media Campaigns for Group Size Estimation, Surveys and qualitative techniques in OSINT, and Geospatial reasoning of open data. Presents a coherent set of methods and processes for automating OSINT Focuses on algorithms and applications allowing the practitioner to get up and running quickly Includes fully developed case studies on the digital underground and predicting crime through OSINT Discusses the ethical considerations when using publicly available online data



Computing The News


Computing The News
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Author : Sylvain Parasie
language : en
Publisher: Columbia University Press
Release Date : 2022-10-11

Computing The News written by Sylvain Parasie and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-11 with Language Arts & Disciplines categories.


Faced with a full-blown crisis, a growing number of journalists are engaging in seemingly unjournalistic practices such as creating and maintaining databases, handling algorithms, or designing online applications. “Data journalists” claim that these approaches help the profession demonstrate greater objectivity and fulfill its democratic mission. In their view, computational methods enable journalists to better inform their readers, more closely monitor those in power, and offer deeper analysis. In Computing the News, Sylvain Parasie examines how data journalists and news organizations have navigated the tensions between traditional journalistic values and new technologies. He traces the history of journalistic hopes for computing technology and contextualizes the surge of data journalism in the twenty-first century. By importing computational techniques and ways of knowing new to journalism, news organizations have come to depend on a broader array of human and nonhuman actors. Parasie draws on extensive fieldwork in the United States and France, including interviews with journalists and data scientists as well as a behind-the-scenes look at several acclaimed projects in both countries. Ultimately, he argues, fulfilling the promise of data journalism requires the renewal of journalistic standards and ethics. Offering an in-depth analysis of how computing has become part of the daily practices of journalists, this book proposes ways for journalism to evolve in order to serve democratic societies.



Automated Media


Automated Media
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Author : Mark Andrejevic
language : en
Publisher: Routledge
Release Date : 2019-09-24

Automated Media written by Mark Andrejevic and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-24 with Social Science categories.


In this era of pervasive automation, Mark Andrejevic provides an original framework for tracing the logical trajectory of automated media and their social, political, and cultural consequences. This book explores the cascading logic of automation, which develops from the information collection process through to data processing and, finally, automated decision making. It argues that pervasive digital monitoring combines with algorithmic decision making and machine learning to create new forms of power and control that pose challenges to democratic forms of accountability and individual autonomy alike. Andrejevic provides an overview of the implications of these developments for the fate of human experience, describing the "bias of automation" through the logics of pre-emption, operationalism, and "framelessness." Automated Media is a fascinating and groundbreaking new volume: a must-read for students and researchers of critical media studies interested in the intersections of media, technology, and the digital economy.



Journalistic Metamorphosis


Journalistic Metamorphosis
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Author : Jorge Vázquez-Herrero
language : en
Publisher: Springer Nature
Release Date : 2020-01-03

Journalistic Metamorphosis written by Jorge Vázquez-Herrero and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Computers categories.


This book aims to reflect how journalism has changed in recent years through different perspectives concerning the impact of technology, the reconfiguration of the media ecosystem, the transformation of business models, production and profession, as well as the influence of digital storytelling, mobile devices and participation within the context of glocal information. Journalism innovation implies modifications in techniques, technologies, processes, languages, formats and devices intended to enhance the production and consumption of the journalistic information. This book becomes an interesting resource for researchers and professionals working in news media to identify the best practices and discover new types of information flows in a rapidly changing news media landscape.



Experiments In Automating Immigration Systems


Experiments In Automating Immigration Systems
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Author : Maxwell, Jack
language : en
Publisher: Policy Press
Release Date : 2022-01-25

Experiments In Automating Immigration Systems written by Maxwell, Jack and has been published by Policy Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-25 with Law categories.


Identifying a pattern of risky experimentation with automated systems in the Home Office, this book outlines precautionary measures that are essential to ensure that society benefits from government automation without exposing individuals to unacceptable risks.