Time Frames: Temporal augmentation of the news

Great strides have been made in the use of computer tools 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 news distribution 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. This paper discusses Time Frames for extracting time information from news articles. Combining this time information with limited information about the reader, we explore the possibilities for improving the reader experience by augmenting news articles.