Evidence map›Paper›PMID 42211386›Full record

ArticleProceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media2026

Characterizing Online Activities Contributing to Suicide Mortality among Youth.

Aparna Ananthasubramaniam, Elyse J Thulin, Viktoryia Kalesnikava, Silas Falde, Jonathan Kertawidjaja, Lily Johns, Alejandro Rodríguez-Putnam, Emma Spring, Kara Zivin, Briana Mezuk

Abstract read
In one paragraph

Article in Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Aparna AnanthasubramaniamUniversity of Michigan.
Elyse J ThulinUniversity of Michigan.
Viktoryia KalesnikavaUniversity of Michigan.
Silas FaldeUniversity of Michigan.
Jonathan KertawidjajaUniversity of Michigan.
Lily JohnsUniversity of Michigan.
Alejandro Rodríguez-PutnamUniversity of Michigan.
Emma SpringUniversity of Michigan.
Kara ZivinUniversity of Michigan.
Briana MezukUniversity of Michigan.

Funding

Diversity Supplement: Aging, Major Life Transitions, and Suicide RiskR01MH128198 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Briana Mezuk, Kara Zivin · 2022 to 2026
$3.9M
NIMH NIH HHS R01 MH128198
6 · The paper itself

Abstract

The recent rise in youth suicide highlights the urgent need to understand how online experiences contribute to this public health issue. Our mixed-methods approach responds to this challenge by developing a set of themes focused on risk factors for suicide mortality in online spaces among youth ages 10-24, and a framework to model these themes at scale. Using 29,124 open text summaries of death investigations between 2013-2022, we conducted a thematic analysis to identify 12 types of online activities that were considered by investigators or next of kin to be relevant in contextualizing a given suicide death. We then develop a zero-shot learning framework to model these 12 themes at scale, and analyze variation in these themes by decedent characteristics and over time. Our work uncovers several online activities related to harm to self, harm to others, interpersonal interactions, activity levels online, and life events, which correspond to different phases of suicide risk from two prominent suicide theories. We find an association between these themes and decedent characteristics like age, means of death, and interpersonal problems, and many themes became more prevalent during the 2020 COVID-19 lockdowns. While digital spaces have taken some steps to address expressions of suicidality online, our work illustrates the opportunities for developing interventions related to less explicit indicators of suicide risk by combining suicide theories with computational research.

Identifiers

PMID42211386
PMCPMC13215376

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.