Instagram Use and the Well-Being of Adolescents: Using Deep Learning to Link Social Scientific Self-reports with Instagram Data Download Packages

L. Boeschoten, Irene Van Driel, D.L. Oberski, Loes Pouwels

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Since the introduction of social media platforms, researchers have investigated how the use of such media affects adolescents’ well-being. Thus far, findings have been inconsistent. The aim of our interdisciplinary project is to provide a more thorough understanding of these inconsistencies by investigating who benefits from social media use, who does not and why it is beneficial for one yet harmful for another. In this presentation, we explain our approach to combining social scientific self-report data with the use of deep learning to analyze personal Instagram archives
Original languageEnglish
Title of host publicationICMI '20 Companion: Companion Publication of the 2020 International Conference on Multimodal Interaction
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages523
Number of pages1
ISBN (Print)978-1-4503-8002-7
DOIs
Publication statusPublished - 28 Oct 2020
Event22nd ACM International Conference on Multimodal Interaction: Workshop on Bridging Social Sciences and AI for Understanding Child Behavior - Utrecht, Netherlands
Duration: 25 Oct 202029 Oct 2020
http://icmi.acm.org/2020/

Conference

Conference22nd ACM International Conference on Multimodal Interaction: Workshop on Bridging Social Sciences and AI for Understanding Child Behavior
Abbreviated titleACM ICMI WoCBU
Country/TerritoryNetherlands
CityUtrecht
Period25/10/2029/10/20
Internet address

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