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Big data is marked by staggering growth in the collection and
analysis of digital trace information regarding human and natural
activity, bound up in and enabled by the rise of persistent
connectivity, networked communication, smart machines, and the
internet of things. In addition to their impact on technology and
society, these developments have particular significance for the
media industry and for journalism as a practice and a profession.
These data-centric phenomena are, by some accounts, poised to
greatly influence, if not transform, some of the most fundamental
aspects of news and its production and distribution by humans and
machines. What such changes actually mean for news, democracy, and
public life, however, is far from certain. As such, there is a need
for scholarly scrutiny and critique of this trend, and this volume
thus explores a range of phenomena-from the use of algorithms in
the newsroom, to the emergence of automated news stories-at the
intersection between journalism and the social, computer, and
information sciences. What are the implications of such
developments for journalism's professional norms, routines, and
ethics? For its organizations, institutions, and economics? For its
authority and expertise? And for the epistemology that underwrites
journalism's role as knowledge-producer and sense-maker in society?
Altogether, this book offers a first step in understanding what big
data means for journalism. This book was originally published as a
special issue of Digital Journalism.
Big data is marked by staggering growth in the collection and
analysis of digital trace information regarding human and natural
activity, bound up in and enabled by the rise of persistent
connectivity, networked communication, smart machines, and the
internet of things. In addition to their impact on technology and
society, these developments have particular significance for the
media industry and for journalism as a practice and a profession.
These data-centric phenomena are, by some accounts, poised to
greatly influence, if not transform, some of the most fundamental
aspects of news and its production and distribution by humans and
machines. What such changes actually mean for news, democracy, and
public life, however, is far from certain. As such, there is a need
for scholarly scrutiny and critique of this trend, and this volume
thus explores a range of phenomena-from the use of algorithms in
the newsroom, to the emergence of automated news stories-at the
intersection between journalism and the social, computer, and
information sciences. What are the implications of such
developments for journalism's professional norms, routines, and
ethics? For its organizations, institutions, and economics? For its
authority and expertise? And for the epistemology that underwrites
journalism's role as knowledge-producer and sense-maker in society?
Altogether, this book offers a first step in understanding what big
data means for journalism. This book was originally published as a
special issue of Digital Journalism.
The Making of the Modern Law: Legal Treatises, 1800-1926 includes
over 20,000 analytical, theoretical and practical works on American
and British Law. It includes the writings of major legal theorists,
including Sir Edward Coke, Sir William Blackstone, James Fitzjames
Stephen, Frederic William Maitland, John Marshall, Joseph Story,
Oliver Wendell Holmes, Jr. and Roscoe Pound, among others. Legal
Treatises includes casebooks, local practice manuals, form books,
works for lay readers, pamphlets, letters, speeches and other works
of the most influential writers of their time. It is of great value
to researchers of domestic and international law, government and
politics, legal history, business and economics, criminology and
much more.++++The below data was compiled from various
identification fields in the bibliographic record of this title.
This data is provided as an additional tool in helping to insure
edition identification: ++++Harvard Law School
Libraryocm31189415New-Orleans: A.T. Penniman, 1831. 142 p.; 22 cm.
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