Abstract
We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.
| Original language | English (US) |
|---|---|
| Title of host publication | IUI 2015 Companion - Companion of the 20th ACM International Conference on Intelligent User Interfaces |
| Publisher | Association for Computing Machinery |
| Pages | 5-8 |
| Number of pages | 4 |
| Volume | 29-March-2015 |
| ISBN (Electronic) | 9781450333085 |
| DOIs | |
| State | Published - Mar 29 2015 |
| Event | 20th ACM International Conference on Intelligent User Interfaces, ACM IUI 2015 - Atlanta, United States Duration: Mar 29 2015 → Apr 1 2015 |
Other
| Other | 20th ACM International Conference on Intelligent User Interfaces, ACM IUI 2015 |
|---|---|
| Country | United States |
| City | Atlanta |
| Period | 3/29/15 → 4/1/15 |
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Keywords
- Computational journalism
- Contextual search
- Intelligent information systems
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
Cite this
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The news context project. / Birnbaum, Lawrence A; Boon, Miriam; Bradley, Scott; Wilson, Jennifer.
IUI 2015 Companion - Companion of the 20th ACM International Conference on Intelligent User Interfaces. Vol. 29-March-2015 Association for Computing Machinery, 2015. p. 5-8.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - The news context project
AU - Birnbaum, Lawrence A
AU - Boon, Miriam
AU - Bradley, Scott
AU - Wilson, Jennifer
PY - 2015/3/29
Y1 - 2015/3/29
N2 - We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.
AB - We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.
KW - Computational journalism
KW - Contextual search
KW - Intelligent information systems
UR - http://www.scopus.com/inward/record.url?scp=84958690833&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958690833&partnerID=8YFLogxK
U2 - 10.1145/2732158.2732178
DO - 10.1145/2732158.2732178
M3 - Conference contribution
VL - 29-March-2015
SP - 5
EP - 8
BT - IUI 2015 Companion - Companion of the 20th ACM International Conference on Intelligent User Interfaces
PB - Association for Computing Machinery
ER -