内容审核作为语言政策

Mandy Lau
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引用次数: 0

摘要

商业内容审核从用户生成的内容平台上删除骚扰、辱骂、仇恨或任何被视为有害或冒犯的材料。平台的内容政策和相关的政府法规都是显性语言政策的形式。这种政策规定了有害语言的分类,旨在通过强制改变用户的语言习惯。然而,事实上的语言政策是算法和人类对语言节制的实际实践。算法和人工版主强制执行哪些词语(以及内容)可以共享,揭示仇恨、冒犯或自由言论的规范价值观,并塑造用户如何适应和创造新的语言实践。本文将介绍商业内容审核的过程和挑战,以及加拿大提出的C-36法案及其补充监管框架,并简要讨论其对语言实践的影响。
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Content moderation as language policy
Commercial content moderation removes harassment, abuse, hate, or any material deemed harmful or offensive from user-generated content platforms. A platform’s content policy and related government regulations are forms of explicit language policy. This kind of policy dictates the classifications of harmful language and aims to change users’ language practices by force. However, the de facto language policy is the actual practice of language moderation by algorithms and humans. Algorithms and human moderators enforce which words (and thereby, content) can be shared, revealing the normative values of hateful, offensive, or free speech and shaping how users adapt and create new language practices. This paper will introduce the process and challenges of commercial content moderation, as well as Canada’s proposed Bill C-36 with its complementary regulatory framework, and briefly discuss the implications for language practices.
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