Improving 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.

This 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.

Overall 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]).

AI 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.

Global suicide rates among older adults are very high. Public attitudes towards older adults’ suicide may affect older adults upon their contemplating such an act. Previous research has demonstrated that message framing affects persons’ judgments and decision making. Thus, message framing may have particular significance in the context of attitudes towards end-of-life phenomena, such as physician-aided suicide. This study examined the possible role of ageism in moderating the effect of message framing on attitudes towards older adults’ suicide.

Two studies examined the association between ageism and attitudes towards older adults’ suicide. Study 1 assessed both variables by self-administered questionnaires; Study 2 further examined these variables, incorporating participants’ responses to a suicide-related vignette, and evaluating the possible effect of message framing, using a between-participants design.

High-ageism participants expressed greater acceptance for older adults’ suicide, whereas low-ageism participants expressed a less permissive approach to it (Study 1). In addition, ageism moderated the effect of message framing on attitudes towards older adults’ suicide: High-ageism participants revealed a more permissive attitude towards older adults’ suicide when the issue was presented in positive terms of not prolonging life, relative to a negative presentation of ending life; a similar effect was not found for low-ageism participants (Study 2).

The moderating effect of ageism on attitudes towards older adults’ suicide has both theoretical and practical implications. We discuss these implications with respect to suicide prevention among older adults, and suggest future research.