Output details
11 - Computer Science and Informatics
Robert Gordon University
Article title
Finding newsworthy topics on Twitter
Type
D - Journal article
DOI
-
Title of journal
IEEE Computer Society Special Technical Community on Social Networking E-Letter
Article number
n/a
Volume number
1
Issue number
3
First page of article
1
ISSN of journal
n/a
Year of publication
2013
Number of additional authors
2
Additional information
Published through the new IEEE forum (“Special Technical Communities e-letters”) provides a wider reach for technological innovation and excellence. The e-letter preface describes this article as discussing “one of the most important problems” in social networking. The significance of this paper is the importance of phrase length for topic detection. Evaluation against the same ground truth set as Goker Output 1 demonstrates effectiveness at finding the sort of topics that professional journalists are interested in. This research has recently been accepted at a top journalism conference (Future of Journalism) and for publication in a Taylor&Francis journalism journal.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
