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AbstractThis paper introduces and reviews a novel digital resource and service that offers access to a wealth of newspaper data from the United States for Text Data Mining (TDM) and Natural Language Processing (NLP). Due to copyright restrictions, gaining access to relevant text corpora of this sort can be difficult. However, ProQuest TDM Studio and similar services provide researchers with access to data and resources that were previously unavailable for TDM to this extent. By using these tools, researchers can gain insights into current newspaper discourses that still have a tremendous impact on debates in society and on political decisions.After giving an account of the structural and procedural elements that are of relevance for TDM research projects when working with data providers, the paper describes the newspaper data that ProQuest TDM Studio makes available and reviews the ways in which this data can be examined via the tools that ProQuest TDM Studio's research environment offers. After contrasting this setup with other data providers and their systems, the paper concludes with an analysis of the opportunities and challenges of working with data providers and research environments such as those provided by ProQuest TDM Studio.

International audience ; Following the assumption that the tech blog sphere represents an avant-garde of technologically and socially interested experts, we describe an experimental setting to observe its input on the public discussion of matters situated at the intersection of technology and society. Our interdisciplinary approach consists in joining forces on a common base of texts and tools. This cooperation stems from work on the impact of digital media on democratic processes and institutions (GHI/RRCHNM) and corpus and computational linguistics (BBAW). The major aims of the effort described here are twofold: (1) compiling a text base (for German and English) from a curated list of blogs dedicated to technological topics for lexicographical and linguistic research, as well as (2) conducting exemplary studies using the compiled corpus, focusing on specific research questions regarding public discourse in Germany and the United States on questions of internet policy.

Abstract
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.