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Among the manifold takes on world literature, it is our goal to contribute tothe discussion from a digital point of view by analyzing the representation ofworld literature in Wikipedia with its millions of articles in hundreds oflanguages. As a preliminary, we introduce and compare three differentapproaches to identify writers on Wikipedia using data from DBpedia, acommunity project with the goal of extracting and providing structuredinformation from Wikipedia. Equipped with our basic set of writers, we analyzehow they are represented throughout the 15 biggest Wikipedia language versions.We combine intrinsic measures (mostly examining the connectedness of articles)with extrinsic ones (analyzing how often articles are frequented by readers)and develop methods to evaluate our results. The better part of our findingsseems to convey a rather conservative, old-fashioned version of worldliterature, but a version derived from reproducible facts revealing an implicitliterary canon based on the editing and reading behavior of millions of people.While still having to solve some known issues, the introduced methods will helpus build an observatory of world literature to further investigate itsrepresentativeness and biases.

World Literature According to Wikipedia: Introduction to a DBpedia-Based Framework