Analyzing News Website From Publicly Accessible Data
Title
Analyzing News Website From Publicly Accessible Data
Creator
Gao, Yijun
Source
http://www.cais-acsi.ca/ojs/index.php/cais/article/view/265 (Proceedings of the Annual Conference of Canadian Association for Information Science)
Publisher
Canadian Association for Information Science
Date
2011
Rights
This resource may be copyright-protected. You may make use of this resource, with proper attribution, for educational and other non-commercial uses only. Please contact the author for permission to reproduce
Relation
https://journals.library.ualberta.ca/ojs.cais-acsi.ca/index.php/cais-asci/article/view/559/509 (full text from Proceedings of University of Alberta Open Journal Systems)
Format
application/pdf
Language
eng
Type
Text
Abstract
This study finds some publicly available data, such as the comments posted to the news stories and online survey results, could be an alternative data source for researchers to analyze news websites when the Web server log data are not available.
Extent
4 pages
Position: 516 (369 views)
Collection
Citation
Gao, Yijun, “Analyzing News Website From Publicly Accessible Data,” CALASYS - CALA Academic Resources & Repository System, accessed April 19, 2026, http://ir.cala-web.org/items/show/144.