Great strides have been made in the use of computer tools to create, edit,
filter, and present information, particularly since the tremendous growth i
n the mainstream popularity of the World Wide Web. The presence of a comput
ationally rich environment at all stages of news distribution provides a un
ique opportunity to use these tools to improve the reader experience. Infor
mation provided for a general audience from a general source can be combine
d with small amounts of information specific to a reader to improve the rea
der's understanding of, connection to, and engagement with the news. This p
aper discusses Time Frames for extracting time information from news articl
es. Combining this time information with limited information about the read
er, we explore the possibilities for improving the reader experience by aug
menting news articles.