Evidence map›Paper›PMID 38609517›Full record

ArticleNpj mental health research2024

Loneliness and suicide mitigation for students using GPT3-enabled chatbots.

Bethanie Maples, Merve Cerit, Aditya Vishwanath, Roy Pea

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Npj mental health research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 pooled it
–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

54 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Emerging realities of artificial intelligence and mental health.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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  20. TechnologicalNature. Mental health · 2026
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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

4 authors.

Bethanie MaplesGraduate School of Education, Stanford University, Stanford, CA, 94305, USA. bethanie@stanford.edu.
Merve Cerit *Graduate School of Education, Stanford University, Stanford, CA, 94305, USA.
Aditya Vishwanath *Graduate School of Education, Stanford University, Stanford, CA, 94305, USA.
Roy PeaGraduate School of Education, Stanford University, Stanford, CA, 94305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health is a crisis for learners globally, and digital support is increasingly seen as a critical resource. Concurrently, Intelligent Social Agents receive exponentially more engagement than other conversational systems, but their use in digital therapy provision is nascent. A survey of 1006 student users of the Intelligent Social Agent, Replika, investigated participants' loneliness, perceived social support, use patterns, and beliefs about Replika. We found participants were more lonely than typical student populations but still perceived high social support. Many used Replika in multiple, overlapping ways-as a friend, a therapist, and an intellectual mirror. Many also held overlapping and often conflicting beliefs about Replika-calling it a machine, an intelligence, and a human. Critically, 3% reported that Replika halted their suicidal ideation. A comparative analysis of this group with the wider participant population is provided.

Identifiers

PMID38609517
PMCPMC10955814

What OpenQuestion holds

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LicenceCC BY
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.