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Detecting Online Hate Speech: Approaches Using Weak Supervision and
  Network Embedding Models

Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models

24 July 2020
Michael Ridenhour
A. Bagavathi
Elaheh Raisi
S. Krishnan
ArXivPDFHTML

Papers citing "Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models"

8 / 8 papers shown
Title
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social
  Media
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
Mai Elsherief
Vivek Kulkarni
Dana Nguyen
William Yang Wang
E. Belding-Royer
55
308
0
11 Apr 2018
Efficient Large-Scale Multi-Modal Classification
Efficient Large-Scale Multi-Modal Classification
D. Kiela
Edouard Grave
Armand Joulin
Tomas Mikolov
70
147
0
06 Feb 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
487
15,232
0
07 Jun 2017
Automated Hate Speech Detection and the Problem of Offensive Language
Automated Hate Speech Detection and the Problem of Offensive Language
Thomas Davidson
Dana Warmsley
M. Macy
Ingmar Weber
76
2,679
0
11 Mar 2017
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
186
10,863
0
03 Jul 2016
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
138
5,334
0
12 Mar 2015
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
251
9,239
0
16 May 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
387
33,521
0
16 Oct 2013
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