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MS Word - 26.4 KB -
MD5: 86f8834b52195873f5ca729ddf8bb1f6
Interview retranscription - Veljo Runnel |
Adobe PDF - 253.0 KB -
MD5: 97993ece2a02a9eba32aa0146984a300
Research - Milestone report 1 |
Adobe PDF - 273.3 KB -
MD5: 5b93792b042ec02d03ca098bf590f883
Research - Milestone report 2 |
Adobe PDF - 352.2 KB -
MD5: 6ccc81a97f76dfb0b4b711aac98337e8
Research - Milestone report 3 |
HTML - 24.4 KB -
MD5: 2a40e70af609e733ef99a361bb2ec7f7
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent... |
Plain Text - 1.8 KB -
MD5: 655391acd705be9a9019f59fac9c6a92
README |
MS Excel Spreadsheet - 90.3 KB -
MD5: 8de81042d48e910762885def679872b2
Dataset of the English version of the survey |
MS Excel Spreadsheet - 19.9 KB -
MD5: 3e3418fea51bcc7a78e285ae5f4ba443
Dataset of the Estonian version of the survey |
Sep 6, 2023 - Poliitikauuringute andmed
Mölder, Martin; Romanov, Bogdan, 2023, "GAFAM Self-Narratives", https://doi.org/10.23673/RE-432, DATADOI, V1
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 a collection of materials that can be used to analyse the self-image and the social and political role that GAFAM companies co... |
Sep 6, 2023 -
GAFAM Self-Narratives
Comma Separated Values - 4.6 MB -
MD5: ea7016718b9366a9bf7653edfd781a2e
Main data file |
