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DDC 070.4/3
D 53
Diakopoulos, Nicholas,.
Automating the news : : how algorithms are rewriting the media / / Nicholas Diakopoulos. - Cambridge, Massachusetts : : Harvard University Press,, ©2019. - 1 online resource (322 pages) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F0CBDC0F-7ACE-4548-B1AE-2F3FB658EF84 . - ISBN 9780674239302 (electronic book). - ISBN 067423930X (electronic book). - ISBN 9780674239319 (electronic bk.). - ISBN 0674239318 (electronic bk.)
Online resource; title from digital title page (viewed on May 15, 2019).
Содержание:
Introduction: The era of new algorithms -- Hybridization: combining algorithms, automation, and people in newswork -- Journalistic data mining -- Automated content production -- Newsbots: agents of information -- Digital paperboys: algorithms in news distribution -- Algorithmic accountability reporting -- Conclusion: The future of algorithmic news media.
~РУБ DDC 070.4/3
Рубрики: Journalism--Technological innovations.
Online journalism.
Digital media.
Algorithms.
Multimedia data mining.
Computer algorithms.
Journalisme--Innovations.
Journalisme en ligne.
Médias numériques.
Algorithmes.
Exploration de données multimédia.
algorithms.
LANGUAGE ARTS & DISCIPLINES--Journalism.
LANGUAGE ARTS & DISCIPLINES / Journalism
Algorithms.
Digital media.
Journalism--Technological innovations.
Multimedia data mining.
Online journalism.
Аннотация: Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories--increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human-algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.--
D 53
Diakopoulos, Nicholas,.
Automating the news : : how algorithms are rewriting the media / / Nicholas Diakopoulos. - Cambridge, Massachusetts : : Harvard University Press,, ©2019. - 1 online resource (322 pages) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F0CBDC0F-7ACE-4548-B1AE-2F3FB658EF84 . - ISBN 9780674239302 (electronic book). - ISBN 067423930X (electronic book). - ISBN 9780674239319 (electronic bk.). - ISBN 0674239318 (electronic bk.)
Online resource; title from digital title page (viewed on May 15, 2019).
Содержание:
Introduction: The era of new algorithms -- Hybridization: combining algorithms, automation, and people in newswork -- Journalistic data mining -- Automated content production -- Newsbots: agents of information -- Digital paperboys: algorithms in news distribution -- Algorithmic accountability reporting -- Conclusion: The future of algorithmic news media.
Рубрики: Journalism--Technological innovations.
Online journalism.
Digital media.
Algorithms.
Multimedia data mining.
Computer algorithms.
Journalisme--Innovations.
Journalisme en ligne.
Médias numériques.
Algorithmes.
Exploration de données multimédia.
algorithms.
LANGUAGE ARTS & DISCIPLINES--Journalism.
LANGUAGE ARTS & DISCIPLINES / Journalism
Algorithms.
Digital media.
Journalism--Technological innovations.
Multimedia data mining.
Online journalism.
Аннотация: Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories--increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human-algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.--
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