Recently, media and communication researchers have shown an increasing interest in critical data studies and ways to utilize data for social progress. In this commentary, I highlight several useful contributions in the International Panel on Social Progress (IPSP) report toward identifying key data justice issues, before suggesting extra focus on algorithmic discrimination and implicit bias. Following my assessment of the IPSP’s report, I emphasize the importance of two emerging media and communication areas – applied ontology and semantic technology – that impact internet users daily, yet receive limited attention from critical data researchers. I illustrate two examples to show how applied ontologies and semantic technologies impact social processes by engaging in the hierarchization of social relations and entities, a practice that will become more common as the Internet changes states towards a ‘smarter’ version of itself.

中文翻译：

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算法、本体和社会进步

最近，媒体和传播研究人员对关键数据研究和利用数据促进社会进步的方法越来越感兴趣。在这篇评论中，在建议额外关注算法歧视和隐性偏见之前，我强调了国际社会进步小组 (IPSP) 报告中关于识别关键数据公正问题的几项有用贡献。在我对 IPSP 报告的评估之后，我强调了两个新兴媒体和通信领域——应用本体论和语义技术——的重要性，它们每天都在影响互联网用户，但受到关键数据研究人员的关注有限。我举例说明了两个例子，以展示应用本体和语义技术如何通过参与社会关系和实体的层次化来影响社会过程，