Characterizing homelessness discourse on social media

Andrea Hu, Stevie Chancellor, Munmun De Choudhury

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social media allows us to connect and maintain relationships in spite of physical distance and barriers; as computers and the internet become more accessible, hard-to-reach populations are finding a voice on these platforms. One such group is those who are or have been homeless. Through a computational linguistic analysis of a large corpus of Tumblr blog posts, this paper provides preliminary insights to understand the unique ways homeless bloggers express their needs, frustrations and financial/social distress, connect with others, and seek emotional and practical support from others. We highlight future investigations, building upon this research, that can be pursued in HCI to assist an underserved population with the difficult life experience of homelessness.

Original languageEnglish (US)
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359719
DOIs
StatePublished - May 2 2019
Externally publishedYes
Event2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom
Duration: May 4 2019May 9 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period5/4/195/9/19

Bibliographical note

Publisher Copyright:
© 2019 Copyright held by the owner/author(s).

Keywords

  • Hard to research populations
  • Homelessness
  • Language analysis
  • Social media
  • Tumblr

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