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https://doi.org/10.5353/th_b46...
Doctoral thesis . 2012 . Peer-reviewed
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Detection of sockpuppets in online discussion forums

Authors: Zheng, Xueling.;

Detection of sockpuppets in online discussion forums

Abstract

One common trick to cheat people to believe fake products or a high-return low-risk investment scheme in the online discussion groups is to make use of sockpuppets (i.e., use di erent fake identities pretending to be di erent persons to praise or create the illusion of support for the product). A fundamental problem is how to identify these sockpuppets. In this paper, we propose two approaches to identify these puppet pairs that occur in the same forum as well as cross forum. The evaluation based on millions of real posts in two popular discussion forums in Hong Kong shows that the methods are e ective.

Country
China (People's Republic of)
Related Organizations
Keywords

Computer security, Electronic discussion groups

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green