Observing burstiness in Wikipedia articles during new disease outbreaks
Observing burstiness in Wikipedia articles during new disease outbreaks
Wikipedia can be conceptualized as an open sociotechnical environment that supports communities of humans and bots that update and contest information in Wikipedia articles. This environment affords a view to community or domain interactions and reactions to salient topics, such as disease outbreaks. But do reactions to different topics vary, and how can we measure them? One widely-used approach when answering these questions is to delineate levels of burstiness—communication flows characterized by repeated bursts instead of a continuous stream—in the construction of a Wikipedia article. A literature review, however, reveals that current burstiness approaches do not fully support efforts to compare Wikipedia community reactions to different articles. Through an empirical analysis of the construction of Wikipedia health-related articles, we both extend and refine burstiness as an analytical technique to understand the community dynamics underlying the construction of Wikipedia articles. We define a method by which we can categorize burstiness as high medium and low. Our empirical results suggest a proposed a model of burstiness.
Al Tamime, Reham, Fares Fayez
bb5c8080-80e5-49ef-b649-c53d08e8c088
Giordano, Richard
13c61925-de2b-48ae-beab-6aedac3ed14c
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
May 2018
Al Tamime, Reham, Fares Fayez
bb5c8080-80e5-49ef-b649-c53d08e8c088
Giordano, Richard
13c61925-de2b-48ae-beab-6aedac3ed14c
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Al Tamime, Reham, Fares Fayez, Giordano, Richard and Hall, Wendy
(2018)
Observing burstiness in Wikipedia articles during new disease outbreaks.
10th ACM Annual Conference on Web Science: Web Science 2018, BelleVUe Building, Vrije Universiteit (VU) Amsterdam, Amsterdam, Netherlands.
27 - 30 May 2018.
(doi:10.1145/3201064.3201080).
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Conference or Workshop Item
(Paper)
Abstract
Wikipedia can be conceptualized as an open sociotechnical environment that supports communities of humans and bots that update and contest information in Wikipedia articles. This environment affords a view to community or domain interactions and reactions to salient topics, such as disease outbreaks. But do reactions to different topics vary, and how can we measure them? One widely-used approach when answering these questions is to delineate levels of burstiness—communication flows characterized by repeated bursts instead of a continuous stream—in the construction of a Wikipedia article. A literature review, however, reveals that current burstiness approaches do not fully support efforts to compare Wikipedia community reactions to different articles. Through an empirical analysis of the construction of Wikipedia health-related articles, we both extend and refine burstiness as an analytical technique to understand the community dynamics underlying the construction of Wikipedia articles. We define a method by which we can categorize burstiness as high medium and low. Our empirical results suggest a proposed a model of burstiness.
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Observing Burstiness in Wikipedia Articles During New Disease Outbreaks
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Accepted/In Press date: 25 March 2018
Published date: May 2018
Venue - Dates:
10th ACM Annual Conference on Web Science: Web Science 2018, BelleVUe Building, Vrije Universiteit (VU) Amsterdam, Amsterdam, Netherlands, 2018-05-27 - 2018-05-30
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Local EPrints ID: 419731
URI: http://eprints.soton.ac.uk/id/eprint/419731
PURE UUID: 33fd33a8-e5d6-457e-8ebb-7a45154cb8e9
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Date deposited: 20 Apr 2018 16:30
Last modified: 16 Mar 2024 04:05
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Author:
Reham, Fares Fayez Al Tamime
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