Modeling the Differential Prevalence of Online Supportive Interactions in Private Instant Messages of Adolescents

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00141937" target="_blank" >RIV/00216224:14330/25:00141937 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.findings-naacl.347/" target="_blank" >https://aclanthology.org/2025.findings-naacl.347/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2025.findings-naacl.347" target="_blank" >10.18653/v1/2025.findings-naacl.347</a>

Result language
angličtina
Original language name
Modeling the Differential Prevalence of Online Supportive Interactions in Private Instant Messages of Adolescents
Original language description
This paper focuses on modeling gender-based and pair-or-group disparities in online supportive interactions among adolescents. To address the limitations of conventional social science methods in handling large datasets, this research employs language models to detect supportive interactions based on the Social Support Behavioral Code and to model their distribution. The study conceptualizes detection as a classification task, constructs a new dataset, and trains predictive models. The novel dataset comprises 196,772 utterances from 2165 users collected from Instant Messenger apps. The results show that the predictions of language models can be used to effectively model the distribution of supportive interactions in private online dialogues. As a result, this study provides new computational evidence that supports the theory that supportive interactions are more prevalent in online female-to-female conversations. The findings advance our understanding of supportive interactions in adolescent communication and present methods to automate the analysis of large datasets, opening new research avenues in computational social science.
Czech name
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Czech description
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Project
<a href="/en/project/EH22_008%2F0004583" target="_blank" >EH22_008/0004583: Research of Excellence on Digital Technologies and Wellbeing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Findings of the Association for Computational Linguistics: NAACL 2025
ISBN
9798891761957
ISSN
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e-ISSN
—
Number of pages
19
Pages from-to
6223-6241
Publisher name
Association for Computational Linguistics
Place of publication
Albuquerque, New Mexico
Event location
Albuquerque, New Mexico
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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