Abstract
dc:description.abstractGreat strides have been made in the use of computers to create, edit, filter, and present information, particularly since the tremendous growth in the mainstream popularity of the World Wide Web. The presence of a computationally rich environment at all stages of the news distribution channel provides a unique opportunity to use these tools to improve the reader experience. Information provided for a general audience from a general source can be combined with small amounts of information specific to a reader to improve the reader's understanding of, connection to, and engagement with the news provided. Time Frames discusses the extraction of time information from news articles and explores the possibilities for improving the reader experience by augmenting news articles through combining this time information with limited information about the user.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2000
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Koen, Douglas B. (Douglas Branch)
- Advisor dc:contributor.advisor
-
- Walter Bender.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/61844
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/61844