Evidence map›Paper›PMID 40420443›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2025

The role of generative artificial intelligence in evaluating adherence to responsible press media reports on suicide: A multisite, three-language study.

Zohar Elyospeh, Bénédicte Nobile, Inbar Levkovich, Raphael Chancel, Philippe Courtet, Yossi Levi-Belz

Abstract readMulticenter Study
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zohar Elyospehhttps://ror.org/02f009v59University of Haifa, Mount Carmel, Haifa, Israel.
Bénédicte NobileDepartment of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France.ORCID 0000-0002-2570-6996
Inbar LevkovichFaculty of Education, https://ror.org/009st3569Tel Hai College, Upper Galilee, Israel.ORCID 0000-0003-1582-3889
Raphael ChancelDepartment of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France.ORCID 0009-0009-3741-7508
Philippe CourtetDepartment of Emergency Psychiatry and Acute Care, CHU Montpellier, Montpellier, France.ORCID 0000-0002-6519-8586
Yossi Levi-BelzLior Tsfaty Center for Suicide and Mental Pain Studies, https://ror.org/0361c8163Ruppin Academic Center, Emek Hefer, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving media adherence to World Health Organization (WHO) guidelines is crucial for preventing suicidal behaviors in the general population. However, there is currently no valid, rapid, and effective method to evaluate the adherence to these guidelines.

methodsThis comparative effectiveness study (January-August 2024) evaluated the ability of two artificial intelligence (AI) models (Claude Opus 3 and GPT-4O) to assess the adherence of media reports to WHO suicide-reporting guidelines. A total of 120 suicide-related articles (40 in English, 40 in Hebrew, and 40 in French) published within the past 5 years were sourced from prominent newspapers. Six trained human raters (two per language) independently evaluated articles based on a WHO guideline-based questionnaire addressing aspects, such as prominence, sensationalism, and prevention. The same articles were also processed using AI models. Intraclass correlation coefficients (ICCs) and Spearman correlations were calculated to assess agreement between human raters and AI models.

resultsOverall adherence to WHO guidelines was ~50% across all languages. Both AI models demonstrated strong agreement with human raters, with GPT-4O showing the highest agreement (ICC = 0.793 [0.702; 0.855]). The combined evaluations of GPT-4O and Claude Opus 3 yielded the highest reliability (ICC = 0.812 [0.731; 0.869]).

conclusionsAI models can replicate human judgment in evaluating media adherence to WHO guidelines. However, they have limitations and should be used alongside human oversight. These findings may suggest that AI tools have the potential to enhance and promote responsible reporting practices among journalists and, thus, may support suicide prevention efforts globally.

Indexed as

Artificial IntelligenceGuideline AdherenceMass MediaSuicideSuicide PreventionGenerative Artificial IntelligenceHumansLanguageWorld Health Organizationartificial intelligencemedianatural language processingsuicidesuicide prevention

Identifiers

PMID40420443
PMCPMC12188334

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