[HTML][HTML] Data science, machine learning and big data in digital journalism: a survey of state-of-the-art, challenges and opportunities
Digital journalism has faced a dramatic change and media companies are challenged to use
data science algorithms to be more competitive in a Big Data era. While this is a relatively …
data science algorithms to be more competitive in a Big Data era. While this is a relatively …
Putting the data science into journalism
K Kirkpatrick - Communications of the ACM, 2015 - dl.acm.org
Putting the data science into journalism Page 1 MAY 2015 | VOL. 58 | NO. 5 |
COMMUNICATIONS OF THE ACM 15 news IMA GE B Y ANDRIJ BOR YS A SSOCIA TE S …
COMMUNICATIONS OF THE ACM 15 news IMA GE B Y ANDRIJ BOR YS A SSOCIA TE S …
Mining social media for newsgathering: A review
A Zubiaga - Online Social Networks and Media, 2019 - Elsevier
Social media is becoming an increasingly important data source for learning about breaking
news and for following the latest developments of ongoing news. This is in part possible …
news and for following the latest developments of ongoing news. This is in part possible …
The art and science of data-driven journalism
AB Howard - 2014 - academiccommons.columbia.edu
Journalists have been using data in their stories for as long as the profession has existed. A
revolution in computing in the 20th century created opportunities for data integration into …
revolution in computing in the 20th century created opportunities for data integration into …
Taking stock of the toolkit: An overview of relevant automated content analysis approaches and techniques for digital journalism scholars
JW Boumans, D Trilling - Rethinking Research Methods in an Age …, 2018 - taylorfrancis.com
When analyzing digital journalism content, journalism scholars are confronted with a
number of substantial differences compared to traditional journalistic content. The sheer …
number of substantial differences compared to traditional journalistic content. The sheer …
Dissecting non-use of online news–systematic evidence from combining tracking and automated text classification
MV Reiss - Digital Journalism, 2023 - Taylor & Francis
A high proportion of non-users of news is considered a concern for a functioning democracy.
However, existing empirical assessments on the share of news avoiders rely exclusively on …
However, existing empirical assessments on the share of news avoiders rely exclusively on …
Big data for media
M Stone - 2014 - ora.ox.ac.uk
News and media companies are rapidly developing “Big Data” strategies to effectively use
the growing amount of user data available from Internet and mobile communications. Most …
the growing amount of user data available from Internet and mobile communications. Most …
Efficient daily news platform generation using natural language processing
AK Visvam Devadoss, VR Thirulokachander… - International journal of …, 2019 - Springer
In today's digital world, online journalism plays a vital role across various facets of humanity,
starting from day-to-day lives, to the extent of deciding presidential elections. Moreover, with …
starting from day-to-day lives, to the extent of deciding presidential elections. Moreover, with …
Computational journalism
N Thurman - The handbook of journalism studies, 2019 - taylorfrancis.com
This chapter considers computational journalism to be the advanced application of
computing, algorithms, and automation to the gathering, evaluation, composition …
computing, algorithms, and automation to the gathering, evaluation, composition …
Content analysis in an era of big data: A hybrid approach to computational and manual methods
Massive datasets of communication are challenging traditional, human-driven approaches
to content analysis. Computational methods present enticing solutions to these problems but …
to content analysis. Computational methods present enticing solutions to these problems but …