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Portrayals of history are never complete, and each description inherentlyexhibits a specific viewpoint and emphasis. In this paper, we aim toautomatically identify such differences by computing timelines and detectingtemporal focal points of written history across languages on Wikipedia. Inparticular, we study articles related to the history of all UN member statesand compare them in 30 language editions. We develop a computational approachthat allows to identify focal points quantitatively, and find that Wikipedianarratives about national histories (i) are skewed towards more recent events(recency bias) and (ii) are distributed unevenly across the continents withsignificant focus on the history of European countries (Eurocentric bias). Wealso establish that national historical timelines vary across languageeditions, although average interlingual consensus is rather high. We hope thatthis paper provides a starting point for a broader computational analysis ofwritten history on Wikipedia and elsewhere.

Analysing Timelines of National Histories across Wikipedia Editions: A Comparative Computational Approach