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Detecting Wikipedia vandalism with active learning and statistical language models

Overview of attention for article published in this source, April 2010
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1 X user
patent
2 patents

Readers on

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52 Mendeley
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2 CiteULike
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Article details
Title
Detecting Wikipedia vandalism with active learning and statistical language models
Published by
Association for Computing Machinery (ACM), April 2010
DOI 10.1145/1772938.1772942
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Spain 3 6%
United States 2 4%
Iran, Islamic Republic of 2 4%
Slovenia 1 2%
Italy 1 2%
Germany 1 2%
Brazil 1 2%
Australia 1 2%
Unknown 40 77%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Student > Master 9 17%
Researcher 9 17%
Professor > Associate Professor 5 10%
Student > Bachelor 3 6%
Other 6 12%
Unknown 8 15%
Readers by discipline
Readers by discipline Count As %
Computer Science 36 69%
Social Sciences 3 6%
Arts and Humanities 1 2%
Chemical Engineering 1 2%
Linguistics 1 2%
Other 0 0%
Unknown 10 19%