2026-04-30T18:08:22Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

d8cb40117ed7eefdc0409364653e28c869feb06b20338ca71ecf99cf71880ca5 2025-06-17T03:14:27Z language:enopenaire_data

DDI study level documentation for study 10.7802/1411 Multilingual historical narratives on Wikipedia Multilingual historical narratives on Wikipedia Multilingual historical narratives on Wikipedia 10.7802/141110.7802/141110.7802/141110.7802/1411 Samoilenko, Anna Samoilenko, Anna GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften Portrayals of history are never complete, and each description inherently exhibits a specific view- point and emphasis. In this work, we automatically identified such differences by computing time- lines and detecting temporal focal points of written history across languages on Wikipedia. In particular, we studied articles related to the history of all UN member states and compared them in 30 language editions. We developed a computational approach that allows to identify focal points quantitatively, and found that Wikipedia narratives about national histories (i) are skewed towards more recent events (recency bias) and (ii) are distributed unevenly across the continents with sig- nificant focus on the history of European countries (Eurocentric bias). Thus, our work explored how colonial ties shape popular historiography on Wikipedia. We also established that national historical timelines vary across language editions, although average interlingual consensus is rather high. We hope that this work provides a starting point for a broader computational analysis of written history on Wikipedia and elsewhere.Portrayals of history are never complete, and each description inherently exhibits a specific view- point and emphasis. In this work, we automatically identified such differences by computing time- lines and detecting temporal focal points of written history across languages on Wikipedia. In particular, we studied articles related to the history of all UN member states and compared them in 30 language editions. We developed a computational approach that allows to identify focal points quantitatively, and found that Wikipedia narratives about national histories (i) are skewed towards more recent events (recency bias) and (ii) are distributed unevenly across the continents with sig- nificant focus on the history of European countries (Eurocentric bias). Thus, our work explored how colonial ties shape popular historiography on Wikipedia. We also established that national historical timelines vary across language editions, although average interlingual consensus is rather high. We hope that this work provides a starting point for a broader computational analysis of written history on Wikipedia and elsewhere. Main text of Wikipedia articles on history of 193 UN memberstates (and their outlinks) in 30 language editions, collected in July 2016 Live-crawling of Wikipedia pagesLive-crawling of Wikipedia pages OtherOtherAndereOther Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY-NC 4.0: Namensnennung– Nicht kommerziell (http://creativecommons.org/licenses/by-nc/4.0/deed.de)Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. CC BY-NC 4.0: Namensnennung– Nicht kommerziell (http://creativecommons.org/licenses/by-nc/4.0/deed.de) http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_1411 2023-03-11 ddi:codebook:2_5