Automating the News : How Algorithms Are Rewriting the Media
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| Title: | Automating the News : How Algorithms Are Rewriting the Media |
|---|---|
| Description: | From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. An expert in computer science and media explains the present and future of a world in which news is created by algorithm.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. |
| Authors: | Nicholas Diakopoulos |
| Resource Type: | eBook. |
| Subjects: | Digital media, Algorithms, Journalism--Technological innovations, Online journalism, Multimedia data mining, Computer algorithms |
| Categories: | LANGUAGE ARTS & DISCIPLINES / Journalism, COMPUTERS / Information Technology, COMPUTERS / Social Aspects, SOCIAL SCIENCE / Media Studies |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Automating the News : How Algorithms Are Rewriting the Media – Name: Abstract Label: Description Group: Ab Data: From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. An expert in computer science and media explains the present and future of a world in which news is created by algorithm.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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nicholas+Diakopoulos%22">Nicholas Diakopoulos</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Digital+media%22">Digital media</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Journalism--Technological+innovations%22">Journalism--Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Online+journalism%22">Online journalism</searchLink><br /><searchLink fieldCode="DE" term="%22Multimedia+data+mining%22">Multimedia data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+algorithms%22">Computer algorithms</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22LANGUAGE+ARTS+%26+DISCIPLINES+%2F+Journalism%22">LANGUAGE ARTS & DISCIPLINES / Journalism</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Information+Technology%22">COMPUTERS / Information Technology</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Social+Aspects%22">COMPUTERS / Social Aspects</searchLink><br /><searchLink fieldCode="ZK" term="%22SOCIAL+SCIENCE+%2F+Media+Studies%22">SOCIAL SCIENCE / Media Studies</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 070.43 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Digital media Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Journalism--Technological innovations Type: general – SubjectFull: Online journalism Type: general – SubjectFull: Multimedia data mining Type: general – SubjectFull: Computer algorithms Type: general Titles: – TitleFull: Automating the News : How Algorithms Are Rewriting the Media Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nicholas Diakopoulos – PersonEntity: Name: NameFull: Nicholas Diakopoulos IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2019 – D: 01 M: 05 Type: profile Y: 2019 Identifiers: – Type: isbn-print Value: 9780674976986 – Type: isbn-electronic Value: 9780674239302 – Type: isbn-electronic Value: 9780674239319 Titles: – TitleFull: Automating the News : How Algorithms Are Rewriting the Media Type: main |
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