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Detecting "Smart" Spammers On Social Network: A Topic Model Approach
v1v2 (latest)

Detecting "Smart" Spammers On Social Network: A Topic Model Approach

28 April 2016
Linqing Liu
Yao Lu
Ye Luo
Renxian Zhang
Laurent Itti
Jianwei Lu
ArXiv (abs)PDFHTML

Papers citing "Detecting "Smart" Spammers On Social Network: A Topic Model Approach"

6 / 6 papers shown
Calibration of Transformer-based Models for Identifying Stress and
  Depression in Social Media
Calibration of Transformer-based Models for Identifying Stress and Depression in Social MediaIEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
Loukas Ilias
S. Mouzakitis
D. Askounis
277
80
0
26 May 2023
TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit
TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit
Mohammad Hammas Saeed
Shiza Ali
Jeremy Blackburn
Emiliano De Cristofaro
Savvas Zannettou
Gianluca Stringhini
260
40
0
01 Dec 2021
Sentiment Analysis for Troll Detection on Weibo
Sentiment Analysis for Troll Detection on Weibo
Zidong Jiang
Fabio Di Troia
Mark Stamp
86
12
0
07 Mar 2021
Online Social Deception and Its Countermeasures for Trustworthy
  Cyberspace: A Survey
Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey
Zhen Guo
Jin-Hee Cho
I. Chen
Srijan Sengupta
Michin Hong
Tanushree Mitra
298
3
0
16 Apr 2020
EGGS: A Flexible Approach to Relational Modeling of Social Network Spam
EGGS: A Flexible Approach to Relational Modeling of Social Network Spam
Jonathan Brophy
Daniel Lowd
148
3
0
14 Jan 2020
POISED: Spotting Twitter Spam Off the Beaten Paths
POISED: Spotting Twitter Spam Off the Beaten Paths
Shirin Nilizadeh
François Labrèche
Alireza Sedighian
Ali Zand
José M. Fernandez
Christopher Krügel
Gianluca Stringhini
Giovanni Vigna
235
55
0
29 Aug 2017
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