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AbstractConcerns over online hatespeech have prompted governments to strengthen social media governance. However, claims by policy‐makers and political activists regarding the effectiveness and likely consequences of legal regulations remain largely untested. We rely on qualitative interviews and two expert surveys to examine the behavior of public relations professionals in response to online hatespeech when having the option of using the new user‐complaint mechanism under the German Network Enforcement Act (NetzDG). Our findings reveal that strategies depend on whether professionals work at public sector institutions, business, or civil society organizations and political parties. Public sector institutions are likely to report to the platform, but not under NetzDG. Civil society organizations are likely to choose content moderation, counterspeech, and other forms of intervention. Businesses deploy a wide range of strategies. In practice, Germany's procedural approach relying on user‐complaint mechanisms to deal with online hatespeech is not used by experts as a means to combat online harassment.

AbstractLegislative bodies generally keep records of their activities. While the digitization wave spurred the availability of archival documents, their processing remains a challenge. The Swiss parliamentary records are no exception.In this paper we present a supervised pipeline for extracting and structuring of content of archival records. Our pipeline consists of five steps, starting with an assessment of which elements need extraction and how they relate to each other. Step two involves general pre‐processing to prepare the PDF documents and is followed by an element classification step. Step four involves post‐processing and the final step is a validation of the extracted information. With our supervised approach, we are able to process over 200,000 pages of Swiss parliamentary records (spanning the years 1891–1995), a feat that would exceed the budget of most projects using manual curation. We discuss validation of individual steps and offer guidance to researchers engaged in similar data processing efforts.