000			03057nam a22003257a 4500
003			IIITD
005			20231106181927.0
008			231030b xxu||||| |||| 00| 0 eng d
010			_a 2018046708
020			_a9780674976986
040			_aMH/DLC _beng _cMH _erda _dIIITD
042			_apcc
050	0	0	_aPN4784.T34 _bD53 2019
082	0	0	_a070.43 _223 _bDIA-A
100			_aDiakopoulos, Nicholas
245			_aAutomating the news : _bhow algorithms are rewriting the media _cby Nicholas Diakopoulos
260			_aLondon : _bHarvard University Press, _c©2019
300			_a322 p. : _bill. ; _c22 cm.
504			_aThis book includes bibliographical references and index.
505	0		_a -- -- _t1 Hybridization: combining algorithms, automation, and people in news work _t2 Journalistic data mining _t3 Automated content production _t4 News bots: agents of information _t5 Digital paperboys: algorithms in news distribution _t6 Algorithmic accountability reporting
520			_aAmid 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.--
650		0	_aJournalism _xTechnological innovations.
650		0	_aOnline journalism.
650		0	_aDigital media.
650		0	_aAlgorithms.
650		0	_aMultimedia data mining.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c171649 _d171649