Automating the news : how algorithms are rewriting the media /

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Bibliographic Details
Author / Creator:Diakopoulos, Nicholas, author.
Imprint:Cambridge, Massachusetts : Harvard University Press, 2019.
©2019
Description:1 online resource (322 pages) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13513234
Hidden Bibliographic Details
ISBN:9780674239302
067423930X
9780674239319
0674239318
9780674976986
0674976983
Notes:Includes bibliographical references and index.
Online resource; title from digital title page (viewed on May 15, 2019).
Summary: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.--

MARC

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245 1 0 |a Automating the news :  |b how algorithms are rewriting the media /  |c Nicholas Diakopoulos. 
264 1 |a Cambridge, Massachusetts :  |b Harvard University Press,  |c 2019. 
264 4 |c ©2019 
300 |a 1 online resource (322 pages) :  |b illustrations 
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520 |a 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.--  |c Provided by publisher. 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
588 0 |a Online resource; title from digital title page (viewed on May 15, 2019). 
650 0 |a Journalism  |x Technological innovations. 
650 0 |a Online journalism.  |0 http://id.loc.gov/authorities/subjects/sh2004000803 
650 0 |a Digital media.  |0 http://id.loc.gov/authorities/subjects/sh98006600 
650 0 |a Algorithms.  |0 http://id.loc.gov/authorities/subjects/sh85003487 
650 0 |a Multimedia data mining.  |0 http://id.loc.gov/authorities/subjects/sh2017002944 
650 0 |a Computer algorithms.  |0 http://id.loc.gov/authorities/subjects/sh91000149 
650 6 |a Journalisme  |x Innovations. 
650 6 |a Journalisme en ligne. 
650 6 |a Médias numériques. 
650 6 |a Algorithmes. 
650 6 |a Exploration de données multimédia. 
650 7 |a algorithms.  |2 aat 
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650 7 |a LANGUAGE ARTS & DISCIPLINES / Journalism  |2 bisacsh 
650 7 |a Computer algorithms.  |2 fast  |0 (OCoLC)fst00872010 
650 7 |a Algorithms.  |2 fast  |0 (OCoLC)fst00805020 
650 7 |a Digital media.  |2 fast  |0 (OCoLC)fst00893716 
650 7 |a Journalism  |x Technological innovations.  |2 fast  |0 (OCoLC)fst00984105 
650 7 |a Multimedia data mining.  |2 fast  |0 (OCoLC)fst01982691 
650 7 |a Online journalism.  |2 fast  |0 (OCoLC)fst01200881 
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