Print Email Facebook Twitter Complementing studies on vulnerable youths with reddit data Title Complementing studies on vulnerable youths with reddit data Author Mauri, A. (TU Delft Human-Centred Artificial Intelligence) Psyllidis, A. (TU Delft Internet of Things) Bozzon, A. (TU Delft Human-Centred Artificial Intelligence) Lee, J.S. (Erasmus Universiteit Rotterdam) Pridmore, Jason (Erasmus Universiteit Rotterdam) Van Zoonen, Liesbet (Erasmus Universiteit Rotterdam) Giest, Sarah (Universiteit Leiden) Date 2021 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. Subject NEETsNLPRedditSocial media analysisText miningTopic analysisVulnerable youth To reference this document use: http://resolver.tudelft.nl/uuid:7e730cfb-51e0-4554-b7d3-92d89325db17 DOI https://doi.org/10.1145/3464385.3464703 Publisher Association for Computing Machinery (ACM) ISBN 9781450389778 Source CHItaly 2021 - Frontiers of HCI: Proceedings of the 14th Biannual Conference of the Italian SIGCHI Chapter Event 14th Biannual Conference of the Italian SIGCHI Chapter: Frontiers of HCI, CHItaly 2021, 2021-07-11 → 2021-07-13, Virtual, Online, Italy Series ACM International Conference Proceeding Series Part of collection Institutional Repository Document type conference paper Rights © 2021 A. Mauri, A. Psyllidis, A. Bozzon, J.S. Lee, Jason Pridmore, Liesbet Van Zoonen, Sarah Giest Files PDF 3464385.3464703.pdf 747.13 KB Close viewer /islandora/object/uuid:7e730cfb-51e0-4554-b7d3-92d89325db17/datastream/OBJ/view