3. The method of claim 1 , the method further comprising the steps of: generating one or more additional search tokens associated with the one or more data objects, the one or more additional search tokens having a low popularity value and a high number of occurrences in the one or more data objects.
1. A method for searching one or more text sources including temporally-ordered data objects, the method comprising the steps of: providing access to the one or more text sources, each text source including one or more temporally-ordered data objects; obtaining or generating a search query based on one or more search tokens and one or more time intervals; obtaining or generating time data associated with the temporally-ordered data objects included in the one or more text sources; identifying one or more data objects related to the search query in the one or more text sources; generating one or more popularity curves based on frequency of the identified data objects corresponding to one or more of the search tokens in the one or more time intervals and the time data, the popularity curve exhibiting fluctuations of popularity over the one or more time intervals; identifying a burst in the one or more popularity curves, the burst occurring in one or more burst time intervals; identifying data objects related to the search query in the one or more burst time intervals as burst data objects; for each of the burst data objects, assigning an authoritative index to the each burst data objects, the authoritative index being computed from a frequency of content related to the search query contributed by an author of the each burst data object; ranking the burst data objects according to the authoritative index to obtain the top-i ranked burst data objects, i being an integer; and providing the top-i ranked burst data objects as authoritative data objects for user selection and viewing; wherein each data object comprises at least one of a blog, document, posting, article, email and message.