What do we mean when we talk about transparency? Towards meaningful transparency in commercial content moderation
What do we mean when we talk about transparency? Towards meaningful transparency in commercial content moderation
复制标题
当我们谈论透明度时，我们在谈论什么？
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Jillian C. York
中科院分区：
文献类型：
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作者：
Nicolas P Suzor;S. West;Andrew Quodling;Jillian C. York
本文旨在为数字平台的商业内容审核实践中的透明度需求提供更大的特殊性。我们通过对曾经是内容适度决策的个人的380个调查响应的主题分析来确定知识的差距。我们认为，应将有意义的透明度理解为对独立利益相关者的问责制（渲染帐户）的组成部分。我们为平台提出了具体建议，以向人们提供有关影响他们的决策的明确信息，包括何种内容，违反了哪些规则，以及对人员和自动化流程的描述，负责识别内容并做出决定。但是，除了向个人提供有关特定决策的更多信息之外，我们还注意到在系统级别上提高对内容审核的理解的主要挑战。应重新构架对更高透明度的一般需求，以专注于增强对大规模分类数据的访问，这可以使学术界，民间社会和记者之间的新方法和合作使这些系统更加易于理解和负责。
This paper seeks to provide greater specificity to demands for transparency in the commercial content moderation practices of digital platforms. We identify gaps in knowledge through a thematic analysis of 380 survey responses from individuals who have been the subject of content moderation decisions. We argue that meaningful transparency should be understood as a component of a communicative process of accountability (rendering account) to independent stakeholders. We make specific recommendations for platforms to provide people with clear information about decisions that affect them, including what content is moderated, which rule was breached, and a description of the people and automated processes responsible for identifying content and making the decision. Beyond providing more information to individuals about particular decisions, however, we note the major challenge of improving understanding of content moderation at a systems level. General demands for greater transparency should be reframed to focus on enhanced access to large-scale disaggregated data that can enable new methods and collaborations between academia, civil society, and journalists to make these systems more understandable and accountable.