Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

5-2017

Abstract

It is known that news topics, covered more frequently and over longer periods of time, are considered to be important to the public. Hence, what gets media attention and how me- dia attention evolves over time has been studied for decades in communication study. However, previous studies are con- fined to a few countries or a few topics, mainly due to lack of longitudinal global data. In this work, we use a large-scale news data compiled from 196 countries to provide empirical analyses of media attention dynamics.

Keywords

Empirical analysis, Global data, Media attention, News topics

Discipline

Computer Sciences

Research Areas

Data Science and Engineering

Publication

Proceedings of 11th International Conference on Web and Social Media, ICWSM 2017, Montreal, Canada, May 15-18

First Page

464

Last Page

467

ISBN

9781577357889

Publisher

AAAI

City or Country

California, USA

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