https://github.com/alan-turing-institute/urban-dictionary-rsos2018

Annotations for the RSOS article on Urban Dictionary (Nguyen, McGillivray and Yasseri)

https://github.com/alan-turing-institute/urban-dictionary-rsos2018

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Annotations for the RSOS article on Urban Dictionary (Nguyen, McGillivray and Yasseri)

Basic Info
  • Host: GitHub
  • Owner: alan-turing-institute
  • Default Branch: master
  • Size: 179 KB
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  • Stars: 0
  • Watchers: 5
  • Forks: 1
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Created about 8 years ago · Last pushed about 8 years ago
Metadata Files
Readme

README.md

Urban Dictionary

This repository contains annotations and R analysis code for the Royal Society Open Science article Emo, love, and god: Making sense of Urban Dictionary, a crowd-sourced online dictionary by Nguyen, McGillivray and Yasseri.

Please contact Dong Nguyen if you have any questions.

Data

  • content_type_annotations_merged.csv: This file contains the crowdsourced annotations on aspects of the content in Urban Dictionary (opinion versus meaning, familiarity, formality, proper nouns). Each definition was annotated by 3 workers. For example the familiar_1, familiar_2 and familiar_3 columns contain the annotations on familiarity. The familiar column contains the final category based on majority vote.

  • offensive_annotations_merged.csv: This file contains the crowdsourced annotations on the offensiveness of the content.

Code

  • content_types.rmd: R code for analyzing aspects of the content in Urban Dictionary
  • offensiveness.rmd: R code for analyzing the offensivess of the content.
  • popularity_content.rmd: R code for analyzing how different aspects affect the ranking of the definitions.

Owner

  • Name: The Alan Turing Institute
  • Login: alan-turing-institute
  • Kind: organization
  • Email: info@turing.ac.uk

The UK's national institute for data science and artificial intelligence.

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