Leveraging on Machine Moderation to Improve Content Organization

Asian Journal of Humanity, Art and Literature

View Publication Info
 
 
Field Value
 
Title Leveraging on Machine Moderation to Improve Content Organization
 
Creator Fadziso, Takudzwa
 
Subject Machine moderation
Content management
Artificial intelligence
Hate Speech
 
Description The growing pressure from the government on operators of different platforms on the needs to manage content in order to eliminate misinformation and ‘hate speech, this study examines the introduction of machine moderation mechanisms; surveys approximately the prevailing automated tools employed by key players in social media to manage rights violation, sabotage and hate speech; and recognizes major structures as the requirement for the implementation. We attempt to address the purpose of this paper by reviewing some selected pieces of literature. The article provides automated ‘hash matching and projecting artificial intelligence or machine learning devices. We also define machine moderation as a technological approach set up to demeanor content moderation at balance by foremost platforms for user-created content like YouTube, Facebook, and Twitter.
 
Publisher i-Proclaim
 
Date 2021-06-06
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier https://i-proclaim.my/journals/index.php/ajhal/article/view/552
10.18034/ajhal.v5i2.552
 
Source Asian Journal of Humanity, Art and Literature; Vol. 5 No. 2 (2018): July - December Issue; 135-144
2312-2021
2311-8636
10.18034/ajhal.v5i2
 
Language eng
 
Relation https://i-proclaim.my/journals/index.php/ajhal/article/view/552/509
 
Rights Copyright (c) 2018 Takudzwa Fadziso
https://creativecommons.org/licenses/by-nc/4.0
 

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