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Emo, love and god: making sense of Urban Dictionary, a crowd-sourced online dictionary

Published version
Peer-reviewed

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Authors

Nguyen, Dong 
McGillivray, Barbara  ORCID logo  https://orcid.org/0000-0003-3426-8200
Yasseri, Taha 

Abstract

The Internet facilitates large-scale collaborative projects and the emergence of Web 2.0 platforms, where producers and consumers of content unify, has drastically changed the information market. On the one hand, the promise of the ‘wisdom of the crowd’ has inspired successful projects such as Wikipedia, which has become the primary source of crowd-based information in many languages. On the other hand, the decentralized and often unmonitored environment of such projects may make them susceptible to low-quality content. In this work, we focus on Urban Dictionary, a crowd-sourced online dictionary. We combine computational methods with qualitative annotation and shed light on the overall features of Urban Dictionary in terms of growth, coverage and types of content. We measure a high presence of opinion-focused entries, as opposed to the meaning-focused entries that we expect from traditional dictionaries. Furthermore, Urban Dictionary covers many informal, unfamiliar words as well as proper nouns. Urban Dictionary also contains offensive content, but highly offensive content tends to receive lower scores through the dictionary’s voting system. The low threshold to include new material in Urban Dictionary enables quick recording of new words and new meanings, but the resulting heterogeneous content can pose challenges in using Urban Dictionary as a source to study language innovation.

Description

Keywords

natural language processing, linguistic innovation, computational sociolinguistics, human–computer interaction

Journal Title

Royal Society Open Science

Conference Name

Journal ISSN

2054-5703
2054-5703

Volume Title

5

Publisher

The Royal Society
Sponsorship
Alan Turing Institute (EP/N510129/1)