The Tower of Babel Meets Web 2.0: User-Generated Content and its Applications in a Multilingual Context

Abstract

This study explores language's fragmenting effect on user-generated content by examining the diversity of knowledge representations across 25 different Wikipedia language editions. This diversity is measured at two levels: the concepts that are included in each edition and the ways in which these concepts are described. We demonstrate that the diversity present is greater than has been presumed in the literature and has a significant influence on applications that use Wikipedia as a source of world knowledge. We close by explicating how knowledge diversity can be beneficially leveraged to create "culturally-aware applications" and "hyperlingual applications".

arXiv commentCHI 2010 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

References in corpus (2)

• Wikipedia-based Semantic Interpretation for Natural Language Processing
• Scale-free topology of the interlanguage links in Wikipedia

Cited by in corpus (28)

• The Geography of Pokémon GO: Beneficial and Problematic Effects on Places and Movement
• Does the Great Firewall really isolate the Chinese? Integrating access blockage with cultural factors to explain web user behavior
• How Do Global Audiences Take Shape? The Role of Institutions and Culture in Patterns of Web Use
• Interactions of cultures and top people of Wikipedia from ranking of 24 language editions
• Multilinguals and Wikipedia Editing
• Global Reactions to the Cambridge Analytica Scandal: An Inter-Language Social Media Study
• Reimagining Internet Geographies: A User-Centric Ethnological Mapping of the World Wide Web
• Understanding Editing Behaviors in Multilingual Wikipedia
• Linguistic neighbourhoods: explaining cultural borders on Wikipedia through multilingual co-editing activity
• Controlled Analyses of Social Biases in Wikipedia Bios
• Mapping bilateral information interests using the activity of Wikipedia editors
• What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions
• World Literature According to Wikipedia: Introduction to a DBpedia-Based Framework
• A Quantitative Portrait of Wikipedia's High-Tempo Collaborations during the 2020 Coronavirus Pandemic
• Cross-language Wikipedia Editing of Okinawa, Japan
• Content Translation: Computer-assisted translation tool for Wikipedia articles
• Foreign-language Reviews: Help or Hindrance?
• Crosslingual Topic Modeling with WikiPDA
• Mining cross-cultural relations from Wikipedia - A study of 31 European food cultures
• Measuring Wikipedia Article Quality in One Dimension by Extending ORES with Ordinal Regression
• LaSER: Language-Specific Event Recommendation
• A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training
• Growing Wikipedia Across Languages via Recommendation
• Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia
• Taboo and Collaborative Knowledge Production: Evidence from Wikipedia
• EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces
• Space and Time as a Primary Classification Criterion for Information Retrieval in Distributed Social Networking
• Mapping an Audience Centric World Wide Web: A Departure From Hyperlink Analysis