View of the world according to Wikipedia: Are we all little Steinbergs?

Abstract Saul Steinberg's most famous cartoon “View of the world from 9th Avenue” depicts the world as seen by self-absorbed New Yorkers. By analysing wikipediae of a range of different languages, we find that this particular fish-eye world view is ubiquitous and inherently part of human nature. By measuring the skew in the distribution of locations in different languages we can confirm the validity of plausible quantitative models. These models demonstrate convincingly that people all have similar world views: “We are all little Steinbergs.” Our Steinberg hypothesis allows the world view of specific people to be more accurately modelled; this will allow greater understanding of a person's discourse, either by someone else or automatically by a computer.

[1]  Rada Mihalcea,et al.  Using Wikipedia for Automatic Word Sense Disambiguation , 2007, NAACL.

[2]  Janusz Kacprzyk,et al.  Advances in Web Intelligence , 2003, Lecture Notes in Computer Science.

[3]  Stefan M. Rüger,et al.  Geographic co-occurrence as a tool for gir. , 2007, GIR '07.

[4]  Daniel R. Montello,et al.  Spatial Information Theory A Theoretical Basis for GIS , 1995, Lecture Notes in Computer Science.

[5]  Andrew U. Frank,et al.  Spatial Information Theory A Theoretical Basis for GIS , 1993, Lecture Notes in Computer Science.

[6]  J. Giles Internet encyclopaedias go head to head , 2005, Nature.

[7]  Johan Bollen,et al.  Twitter mood predicts the stock market , 2010, J. Comput. Sci..

[8]  Kalina Bontcheva,et al.  Human Language Technologies , 2009, Semantic Knowledge Management.

[9]  Jens Lehmann,et al.  What Have Innsbruck and Leipzig in Common? Extracting Semantics from Wiki Content , 2007, ESWC.

[10]  David A. Hull Using statistical testing in the evaluation of retrieval experiments , 1993, SIGIR.

[11]  Gerhard Weikum,et al.  WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .

[12]  Fabian M. Suchanek,et al.  Yago: A Core of Semantic Knowledge Unifying WordNet and Wikipedia , 2007 .

[13]  Gilad Mishne,et al.  Predicting Movie Sales from Blogger Sentiment , 2006, AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.

[14]  Lora Aroyo,et al.  The Semantic Web: Research and Applications , 2009, Lecture Notes in Computer Science.

[15]  Maria Ruiz-Casado,et al.  Automatic Assignment of Wikipedia Encyclopedic Entries to WordNet Synsets , 2005, AWIC.

[16]  Paolo Rosso,et al.  Inferring Geographical Ontologies from Multiple Resources for Geographical Information Retrieval , 2006, GIR.

[17]  David M. Mark,et al.  Naive Geography , 1995, COSIT.