This paper analyzes the internet policy discourse regarding the German Network Enforcement Act (NetzDG) in different media settings. We examine the conversation about this highly controversial anti-hate speech law on IT blogs, websites, and in daily German newspapers. We compare the positions brought forward in these different media environments concerning one of the most important topics within the discussion about the NetzDG, specifically the question of whether or not the law will result in censorship, limiting users’ freedom of expression. We employ pretrained transformer-based language models to detect and quantify recurring arguments in the debate.

中文翻译：

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平台监管和“过度封锁”——德国 NetzDG 的讨论

本文分析了不同媒体环境下有关德国网络执法法案（NetzDG）的互联网政策话语。我们研究了 IT 博客、网站和德国日报上关于这项备受争议的反仇恨言论法的讨论。我们比较了在这些不同媒体环境中提出的立场，涉及 NetzDG 讨论中最重要的主题之一，特别是法律是否会导致审查、限制用户的言论自由的问题。我们采用基于 Transformer 的预训练语言模型来检测和量化辩论中反复出现的论点。