1.-6. nimetus 6-st

    • GAFAM Self-Narratives 

      Mölder, Martin; Romanov, Bogdan (Johan Skytte Institute of Political Studies, 2023-09)
      This data set contains information about texts that have been collected from the websites (blogs and news archives) of GAFAM (Google, Amazon, Facebook, Apple, Microsoft) companies. The purpose of this data set is to provide ...
    • National Identity Dataset (Making Identity Count) for Estonia, 1990–2020 

      Kilp, Alar; Pavlova, Elena; Nurseitova, Aigerim; Mölder, Martin; Vilson, Maili; Belova-Dalton, Oksana; Pääbo, Heiko; Tadevosyan, Azniv; Kama, Epp; Vain, Kristiina; Aavik, Anna-Lisa; Holm, Mailiis Astrid; Oks, Liisa; Peterson, Betti Marie; Stepanova, Diana; Abzalova, Albina; Dubov, Vladislav; Klimenko, Klim (Johan Skytte Institute of Political Studies, 2026-01-20)
      This dataset was compiled within the research project PRG1052 “National Identity and Estonian–Russian Relations: a Longitudinal Study of Elite and Mass Discourses” (2021–2025) and is a longitudinal dataset on national ...
    • Parliamentary speech and media attention in Estonia, 2011-2019 

      Mölder, Martin; Lupacheva, Tatiana (Johan Skytte Institute of Political Studies, 2024-03-11)
      This data set includes the data that was used for the models that are reported in the paper "A Place to Speak and be Heard? Parliamentary Speech and Media Attention in Estonia, 2011-2019" that is set to be published in ...
    • Stakeholder Discourse on DMA and DSA 

      Diana, Alessio; Mölder, Martin; Romanov, Bogdan; Mollona, Edoardo (University of Tartu, 2023)
      The data set contains feedback from tech companies as well as other stakeholders that has been published during the legislative process of the EU Digital Markets Act (DMA) and the Digital Services Act (DSA). This data will ...
    • Survey on Public Perceptions of Big Tech Companies in Europe 

      Ehin, Piret; Mölder, Martin; Talving, Liisa; Kondratyk, Yurii (Johan Skytte Institute of Political Studies, 2024-11-28)
      This data set contains a cross-country survey in 15 European countries on public perceptions of big-tech companies. The purpose of the dataset is to map out European citizens' perceptions of big-tech companies together ...
    • Topic Models from GAFAM Discourse 

      Mölder, Martin; Mollona, Edoardo; Diana, Alessio (University of Tartu, 2025-03-21)
      This dataset contains the results of an LDA topic model with 200 topics that was applied to a combined corpus of newspaper articles about GAFAM (Google, Amazon, Facebook, Apple, Microsoft) companies (113 123 texts). The ...