Detection of sockpuppets in online discussion forums

Zheng, Xueling; 郑雪玲.,

doi:10.5353/th_b4660327

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…Xueling Zheng et.al. [4] has proposed algorithm for detecting sockpuppet pair in one forum and two different forum. Two different online accounts but belong to the same person are referred as sockpuppets pairs.…”

Section: Reviewed Papers In This Directionmentioning

confidence: 99%

Machine Learning: A Review on Binary Classification

Kumari¹,

Srivastava²

2017

IJCA

114

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In the field of information extraction and retrieval, binary classification is the process of classifying given document/account on the basis of predefined classes. Sockpuppet detection is based on binary, in which given accounts are detected either sockpuppet or non-sockpuppet. Sockpuppets has become significant issues, in which one can have fake identity for some specific purpose or malicious use. Text categorization is also performed with binary classification. This research synthesizes binary classification in which various approaches for binary classification are discussed.

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Section: Reviewed Papers In This Directionmentioning

confidence: 99%

Machine Learning: A Review on Binary Classification

Kumari¹,

Srivastava²

2017

IJCA

114

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show abstract

“…Xueling Zheng et.al. [3] proposed two approaches for identification of sockpuppet cases. First approach is based on the relative number of replies between suspected sockpuppets.…”

Section: Related Workmentioning

confidence: 99%

A Survey on Sockpuppet Detection over Collaborative Projects

Kumari¹,

Srivastava²

2017

IJCA

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Sockpuppet are the fake identity used by some malicious users. In Wikipedia, there are number of sockpuppets present. Two different online accounts, belongs to the same person are called sockpuppet. Sockpuppets has become significant issues, in which one can have fake identity for some specific purpose or malicious use. Sockpuppet detection are based on binary classification in which given accounts are classified either sockpuppet or non-sockpuppet category. This research synthesizes sockpuppets detection in which various approaches are discussed to identify the fake account and legitimate account.

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