Evidence map›Paper›PMID 41001680›Full record

ArticleJournal of online trust & safety2021

How Search Engines Handle Suicide Queries.

Olivia Borge, Victoria Cosgrove, Elena Cryst, Shelby Grossman, Shelby Perkins, Anna Van Meter

Abstract read
In one paragraph

Article in Journal of online trust & safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Olivia BorgeVictoria Cosgrove at Stanford University.
Victoria CosgroveDivision of Child and Adolescent Psychiatry at the Stanford University School of Medicine.
Elena CrystStanford Internet Observatory.
Shelby GrossmanStanford Internet Observatory.
Shelby PerkinsStanford University's Masters in International Policy Program.
Anna Van MeterAssistant Professor at the Institute of Behavioral Science, Feinstein Institutes for Medical Research, and an Assistant Professor at the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell.

Funding

The Digital Phenotype of Bipolar Disorder: Harnessing Technology to Identify Bipolar Mood Symptoms - Revision - 1K23MH120505 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI VAN METER, ANNA ROBINSON · 2019 to 2024
$1.0M
NIMH NIH HHS K23 MH120505
6 · The paper itself

Abstract

The suicide contagion effect posits that exposure to suicide-related content increases the likelihood of an individual engaging in suicidal behavior. Internet suicide-related queries correlate with suicide prevalence. However, suicide-related searches also lead people to access help resources. This article systematically evaluates the results returned from both general suicide terms and terms related to specific suicide means across three popular search engines-Google, Bing, DuckDuckGo-in both English and Spanish. We find that Bing and DuckDuckGo surface harmful content more often than Google. We assess whether search engines show suicide prevention hotline information, and find that 53% of English queries have this information, compared to 13% of Spanish queries. Looking across platforms, 55% of Google queries include hotline information, compared to 35% for Bing and 10% for DuckDuckGo. Specific suicide means queries are 20% more likely to surface harmful results on Bing and DuckDuckGo compared to general suicide term queries, with no difference on Google.

Indexed as

Search enginesself harmsuicide

Identifiers

PMID41001680
PMCPMC12459198

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.