Do Wikipedians follow domain experts? A domain-specific study on Wikipedia contribution

Wikipedia is one of the most successful online knowledge bases, attracting millions of visits daily. Not surprisingly, its huge success has in turn led to immense research interest for a better understanding of the collaborative knowledge building process. In this paper, we performed a (terrorism) d...

Full description

Saved in:
Bibliographic Details
Main Authors: ZHANG, Yi, SUN, Aixin, DATTA, Anwitaman, CHANG, Kuiyu, LIM, Ee Peng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/514
https://ink.library.smu.edu.sg/context/sis_research/article/1513/viewcontent/jcdl69_zhang.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-1513
record_format dspace
spelling sg-smu-ink.sis_research-15132018-06-22T04:20:31Z Do Wikipedians follow domain experts? A domain-specific study on Wikipedia contribution ZHANG, Yi SUN, Aixin DATTA, Anwitaman CHANG, Kuiyu LIM, Ee Peng Wikipedia is one of the most successful online knowledge bases, attracting millions of visits daily. Not surprisingly, its huge success has in turn led to immense research interest for a better understanding of the collaborative knowledge building process. In this paper, we performed a (terrorism) domain-specific case study, comparing and contrasting the knowledge evolution in Wikipedia with a knowledge base created by domain experts. Specifically, we used the Terrorism Knowledge Base (TKB) developed by experts at MIPT. We identified 409 Wikipedia articles matching TKB records, and went ahead to study them from three aspects: creation, revision, and link evolution. We found that the knowledge building in Wikipedia had largely been independent, and did not follow TKB - despite the open and online availability of the latter, as well as awareness of at least some of the Wikipedia contributors about the TKB source. In an attempt to identify possible reasons, we conducted a detailed analysis of contribution behavior demonstrated by Wikipedians. It was found that most Wikipedians contribute to a relatively small set of articles each. Their contribution was biased towards one or very few article(s). At the same time, each article's contributions are often championed by very few active contributors including the article's creator. We finally arrive at a conjecture that the contributions in Wikipedia are more to cover knowledge at the article level rather than at the domain level. 2010-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/514 info:doi/10.1145/1816123.1816141 https://ink.library.smu.edu.sg/context/sis_research/article/1513/viewcontent/jcdl69_zhang.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Numerical Analysis and Scientific Computing
ZHANG, Yi
SUN, Aixin
DATTA, Anwitaman
CHANG, Kuiyu
LIM, Ee Peng
Do Wikipedians follow domain experts? A domain-specific study on Wikipedia contribution
description Wikipedia is one of the most successful online knowledge bases, attracting millions of visits daily. Not surprisingly, its huge success has in turn led to immense research interest for a better understanding of the collaborative knowledge building process. In this paper, we performed a (terrorism) domain-specific case study, comparing and contrasting the knowledge evolution in Wikipedia with a knowledge base created by domain experts. Specifically, we used the Terrorism Knowledge Base (TKB) developed by experts at MIPT. We identified 409 Wikipedia articles matching TKB records, and went ahead to study them from three aspects: creation, revision, and link evolution. We found that the knowledge building in Wikipedia had largely been independent, and did not follow TKB - despite the open and online availability of the latter, as well as awareness of at least some of the Wikipedia contributors about the TKB source. In an attempt to identify possible reasons, we conducted a detailed analysis of contribution behavior demonstrated by Wikipedians. It was found that most Wikipedians contribute to a relatively small set of articles each. Their contribution was biased towards one or very few article(s). At the same time, each article's contributions are often championed by very few active contributors including the article's creator. We finally arrive at a conjecture that the contributions in Wikipedia are more to cover knowledge at the article level rather than at the domain level.
format text
author ZHANG, Yi
SUN, Aixin
DATTA, Anwitaman
CHANG, Kuiyu
LIM, Ee Peng
author_facet ZHANG, Yi
SUN, Aixin
DATTA, Anwitaman
CHANG, Kuiyu
LIM, Ee Peng
author_sort ZHANG, Yi
title Do Wikipedians follow domain experts? A domain-specific study on Wikipedia contribution
title_short Do Wikipedians follow domain experts? A domain-specific study on Wikipedia contribution
title_full Do Wikipedians follow domain experts? A domain-specific study on Wikipedia contribution
title_fullStr Do Wikipedians follow domain experts? A domain-specific study on Wikipedia contribution
title_full_unstemmed Do Wikipedians follow domain experts? A domain-specific study on Wikipedia contribution
title_sort do wikipedians follow domain experts? a domain-specific study on wikipedia contribution
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/sis_research/514
https://ink.library.smu.edu.sg/context/sis_research/article/1513/viewcontent/jcdl69_zhang.pdf
_version_ 1770570456473010176