Difference between revisions of "Digital History Meets Wikipedia: Analyzing Historical Persons in Wikipedia"
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| + | | title = Digital History Meets Wikipedia: Analyzing Historical Persons in Wikipedia | ||
| + | | date = 2016 | ||
| + | | authors = [[Adam Jatowt]]<br />[[Daisuke Kawai]]<br />[[Katsumi Tanaka]] | ||
| + | | doi = 10.1145/2910896.2910911 | ||
| + | | link = http://dl.acm.org/citation.cfm?doid=2910896.2910911 | ||
| + | }} | ||
'''Digital History Meets Wikipedia: Analyzing Historical Persons in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Adam Jatowt]], [[Daisuke Kawai]] and [[Katsumi Tanaka]]. | '''Digital History Meets Wikipedia: Analyzing Historical Persons in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Adam Jatowt]], [[Daisuke Kawai]] and [[Katsumi Tanaka]]. | ||
== Overview == | == Overview == | ||
Wikipedia is the result of a collaborative effort aiming to represent human knowledge and to make it accessible for everyone. As such it contains lots of contemporary as well as history-related information. This research looks into historical data available in [[Wikipedia]] to explore its various time-related characteristics. In particular, authors study Wikipedia articles on historical persons. Authors analysis sheds new light on the characteristics of information about historical persons in Wikipedia and quantifies user interest in such data. Authors use signals derived from the hyperlink structure of Wikipedia as well as from article view logs and authors overlay them over temporal dimension to understand relations between time, link structure and article popularity. In the latter part of the paper, authors also demonstrate different ways for estimating person importance based on the temporal aspects of the link structure. | Wikipedia is the result of a collaborative effort aiming to represent human knowledge and to make it accessible for everyone. As such it contains lots of contemporary as well as history-related information. This research looks into historical data available in [[Wikipedia]] to explore its various time-related characteristics. In particular, authors study Wikipedia articles on historical persons. Authors analysis sheds new light on the characteristics of information about historical persons in Wikipedia and quantifies user interest in such data. Authors use signals derived from the hyperlink structure of Wikipedia as well as from article view logs and authors overlay them over temporal dimension to understand relations between time, link structure and article popularity. In the latter part of the paper, authors also demonstrate different ways for estimating person importance based on the temporal aspects of the link structure. | ||
Revision as of 07:06, 1 September 2019
Authors | Adam Jatowt Daisuke Kawai Katsumi Tanaka |
|---|---|
Publication date | 2016 |
DOI | 10.1145/2910896.2910911 |
Links | Original |
Digital History Meets Wikipedia: Analyzing Historical Persons in Wikipedia - scientific work related to Wikipedia quality published in 2016, written by Adam Jatowt, Daisuke Kawai and Katsumi Tanaka.
Overview
Wikipedia is the result of a collaborative effort aiming to represent human knowledge and to make it accessible for everyone. As such it contains lots of contemporary as well as history-related information. This research looks into historical data available in Wikipedia to explore its various time-related characteristics. In particular, authors study Wikipedia articles on historical persons. Authors analysis sheds new light on the characteristics of information about historical persons in Wikipedia and quantifies user interest in such data. Authors use signals derived from the hyperlink structure of Wikipedia as well as from article view logs and authors overlay them over temporal dimension to understand relations between time, link structure and article popularity. In the latter part of the paper, authors also demonstrate different ways for estimating person importance based on the temporal aspects of the link structure.
