Cultural Differences in the Understanding of History on Wikipedia

This paper sheds light on cultural differences in the understanding of historical military events between Chinese, English, French, German, and Swedish Wikipedia language editions. Differences in understanding historical events can lead to intercultural misinterpretation and conflicts that cause negative consequences for international relations. We identified the most important historical events, mined cross-cultural relations, investigated word usage in war-related pages and performed network, complexity, and sentiment analysis. We also analyzed the usage of war-related words and the quantity of war-related events mentioned in different languages. Our findings suggest that World War I and World War II are the most important historical events within English, French, and German cultures and English Wikipedia contains more violence and war-related content, with a higher level of complexity than other language editions.

[1]  Fabian Flöck,et al.  Mining cross-cultural relations from Wikipedia: A study of 31 European food cultures , 2014, WebSci.

[2]  Enrique Herrera-Viedma,et al.  Sentiment analysis: A review and comparative analysis of web services , 2015, Inf. Sci..

[3]  Bo Xu,et al.  An empirical study of the motivations for content contribution and community participation in Wikipedia , 2015, Inf. Manag..

[4]  Shahar Ronen,et al.  Pantheon: A Dataset for the Study of Global Cultural Production , 2015, ArXiv.

[5]  William H. DuBay The Principles of Readability. , 2004 .

[6]  Pnina Shachaf,et al.  Cross-cultural analysis of the Wikipedia community , 2010 .

[7]  Ian H. Witten,et al.  Mining Meaning from Wikipedia , 2008, Int. J. Hum. Comput. Stud..

[8]  Peter A. Gloor,et al.  Analyzing Cultural Differences in Collaborative Innovation Networks by Analyzing Editing Behavior in Different-Language Wikipedias , 2011 .

[9]  Peter A. Gloor,et al.  Cultural Anthropology through the Lens of Wikipedia: Historical Leader Networks, Gender Bias, and News-based Sentiment , 2015, ArXiv.

[10]  Mathieu Bastian,et al.  Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.

[11]  Ralph Schroeder,et al.  Big data and Wikipedia research: social science knowledge across disciplinary divides , 2015 .

[12]  Mark Graham,et al.  The most controversial topics in Wikipedia: A multilingual and geographical analysis , 2013, ArXiv.

[13]  Luka Bulian,et al.  Lost in Translation: Contexts, Computing, Disputing on Wikipedia , 2014 .

[14]  Alan Wolfe,et al.  Human Accomplishment: The Pursuit of Excellence in the Arts and Sciences, 800 BC to 1950 (review) , 2005 .

[15]  E. Hall The Silent Language , 1959 .

[16]  Yana Volkovich,et al.  Biographical social networks on Wikipedia: a cross-cultural study of links that made history , 2012, WikiSym '12.

[17]  Susan C. Herring,et al.  Cultural bias in Wikipedia content on famous persons , 2011, J. Assoc. Inf. Sci. Technol..

[18]  P. Dorfman,et al.  Leadership and Organizations: The GLOBE Study of 62 Societies , 2004 .

[19]  Dima Shepelyansky,et al.  Highlighting Entanglement of Cultures via Ranking of Multilingual Wikipedia Articles , 2013, PloS one.

[20]  Yao-Ting Sung,et al.  Investigating Chinese Text Readability: Linguistic Features, Modeling, and Validation , 2013 .