  Portrayals of history are never complete, and each description inherently
exhibits a specific viewpoint and emphasis. In this paper, we aim to
automatically identify such differences by computing timelines and detecting
temporal focal points of written history across languages on Wikipedia. In
particular, we study articles related to the history of all UN member states
and compare them in 30 language editions. We develop a computational approach
that allows to identify focal points quantitatively, and find that Wikipedia
narratives about national histories (i) are skewed towards more recent events
(recency bias) and (ii) are distributed unevenly across the continents with
significant focus on the history of European countries (Eurocentric bias). We
also establish that national historical timelines vary across language
editions, although average interlingual consensus is rather high. We hope that
this paper provides a starting point for a broader computational analysis of
written history on Wikipedia and elsewhere.

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