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
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| Creator |
Fadziso, Takudzwa
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| Subject |
Machine moderation
Content management Artificial intelligence Hate Speech |
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| 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.
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| Publisher |
i-Proclaim
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| Date |
2021-06-06
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion |
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| Format |
application/pdf
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| Identifier |
https://i-proclaim.my/journals/index.php/ajhal/article/view/552
10.18034/ajhal.v5i2.552 |
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| 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 |
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| Language |
eng
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| Relation |
https://i-proclaim.my/journals/index.php/ajhal/article/view/552/509
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| Rights |
Copyright (c) 2018 Takudzwa Fadziso
https://creativecommons.org/licenses/by-nc/4.0 |
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