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Hate, Obscenity, and Insults: Measuring the Exposure of Children to
  Inappropriate Comments in YouTube

Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube

3 March 2021
Sultan Alshamrani
Ahmed A. Abusnaina
Mohammed Abuhamad
Daehun Nyang
David A. Mohaisen
ArXiv (abs)PDFHTML

Papers citing "Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube"

5 / 5 papers shown
Title
A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English
A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English
Julian Bäumler
Louis Blöcher
Lars-Joel Frey
Xian Chen
Markus Bayer
Christian A. Reuter
AILaw
100
0
0
11 Apr 2025
The Potential of Vision-Language Models for Content Moderation of
  Children's Videos
The Potential of Vision-Language Models for Content Moderation of Children's Videos
Syed Hammad Ahmed
Shengnan Hu
G. Sukthankar
VLM
117
3
0
06 Dec 2023
Malicious or Benign? Towards Effective Content Moderation for Children's
  Videos
Malicious or Benign? Towards Effective Content Moderation for Children's Videos
Syed Hammad Ahmed
M. Khan
Hafiz Muhammad Umer Qaisar
G. Sukthankar
36
7
0
24 May 2023
Privacy-Preserving Online Content Moderation: A Federated Learning Use
  Case
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case
Pantelitsa Leonidou
N. Kourtellis
Nikos Salamanos
Michael Sirivianos
35
2
0
23 Sep 2022
SoK: Content Moderation in Social Media, from Guidelines to Enforcement,
  and Research to Practice
SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice
Mohit Singhal
Chen Ling
Pujan Paudel
Poojitha Thota
Nihal Kumarswamy
Gianluca Stringhini
Shirin Nilizadeh
156
33
0
29 Jun 2022
1