Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect

Yunhao Yuan, Koustuv Saha, Barbara Keller, Erkki Tapio Isometsä, Talayeh Aledavood

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review


The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use of social media, individuals often express and share lived experiences and struggles with mental health. However, there is a gap in our understanding about the existence and effectiveness of the Papageno effect in social media, which we study in this paper. In particular, we adopt a causal-inference framework to examine the impact of exposure to mental health coping stories on individuals on Twitter. We obtain a Twitter dataset with ∼2M posts by ∼10K individuals. We consider engaging with coping stories as the Treatment intervention, and adopt a stratified propensity score approach to find matched cohorts of Treatment and Control individuals. We measure the psychosocial shifts in affective, behavioral, and cognitive outcomes in longitudinal Twitter data before and after engaging with the coping stories. Our findings reveal that, engaging with coping stories leads to decreased stress and depression, and improved expressive writing, diversity, and interactivity. Our work discusses the practical and platform design implications in supporting mental wellbeing.

Titel på värdpublikationWWW '23 : Proceedings of the ACM Web Conference 2023
RedaktörerYing Ding, Jie Tang, Juan Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben
Antal sidor9
UtgivningsortNew York
FörlagAssociation for Computing Machinery
Utgivningsdatum30 apr. 2023
ISBN (elektroniskt)978-1-4503-9416-1
StatusPublicerad - 30 apr. 2023
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangACM Web Conference - Austin, Förenta Staterna (USA)
Varaktighet: 30 apr. 20234 maj 2023

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