Complementing studies on vulnerable youths with reddit data

Andrea Mauri, Achilleas Psyllidis, Alessandro Bozzon, Ju Sung Lee, Jason Pridmore, Liesbet Van Zoonen, Sarah Giest

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
185 Downloads (Pure)

Abstract

Social web data increasingly complement studies of various social phenomena, especially when the availability of traditional data is limited. One such case is that of vulnerable young populations that are disengaged from employment, education, or training; usually referred to as NEETs. This paper explores the extent to which social media data and discussion websites could complement conventional sources in the study of NEETs. We focus on user-generated content posted to the dedicated r/NEET subreddit, which gathers subscribers who self-identify as NEETs. We develop and implement a data processing pipeline for the analysis of the behavioral patterns and main concerns of this social group. Our analysis of Reddit data reaches similar conclusions to official reports from governmental institutions in Europe. The paper also provides insights into health-related issues and latent interests of NEETs, not recorded in official reports and related literature.

Original languageEnglish
Title of host publicationCHItaly 2021 - Frontiers of HCI
Subtitle of host publicationProceedings of the 14th Biannual Conference of the Italian SIGCHI Chapter
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Electronic)9781450389778
DOIs
Publication statusPublished - 2021
Event14th Biannual Conference of the Italian SIGCHI Chapter: Frontiers of HCI, CHItaly 2021 - Virtual, Online, Italy
Duration: 11 Jul 202113 Jul 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th Biannual Conference of the Italian SIGCHI Chapter: Frontiers of HCI, CHItaly 2021
Country/TerritoryItaly
CityVirtual, Online
Period11/07/2113/07/21

Keywords

  • NEETs
  • NLP
  • Reddit
  • Social media analysis
  • Text mining
  • Topic analysis
  • Vulnerable youth

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