George Mason University
NEWS INTELLIGENCE: A THEORETICAL MODEL FOR A NEWS INTELLIGENCE ENVIRONMENT
Abstract
There has been a substantial amount of research and literature published on the topic of news and the medium through which it is received. There has also been a great deal of literature published on legacy theories as they relate to news. However, there is little current research specifically identifying a news environment that would help improve the accuracy and credibility of news content, provide context to current events that would elevate the public’s insights about them, and enable direct engagement and collaboration in news reporting. To fill this research gap, an exploratory study was conducted of the news media cycle, current online news publishing platforms, as well as the United States (U.S.) intelligence cycle. This pre-study led to the identification of the fundamental question addressed in this dissertation: “what kind of news environment would deliver the most robust news service to individuals and institutions by leveraging current digital technologies?” This research ultimately led to the conception of News Intelligence™, which is a theoretical model intended to improve the accuracy and credibility of news content, provide context to current events that would elevate insights about news events, while enabling direct engagement and collaboration in news reporting in todays’ highly digitized world. The research conducted for this dissertation is an effort to further explore the concept of News Intelligence™ and audience current and expected thoughts of effective news environments.
Author and committee
dc:creator, dc:contributor.*- Author
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- Bailey, Elena Taube
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Identifier
- hdl:1920/14685
- OAI identifier oai:identifier
- oai:MARS:1920/14685