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Perspective

Speakability of Suffering and Media Ecologies: A Coupled Model of Suicide Risk

by
Enrique Fernández-Vilas
* and
Juan R. Coca
Social Research Unit on Health and Rare Diseases, University of Valladolid, 42004 Soria, Spain
*
Author to whom correspondence should be addressed.
Psychiatry Int. 2026, 7(3), 106; https://doi.org/10.3390/psychiatryint7030106
Submission received: 15 January 2026 / Revised: 1 April 2026 / Accepted: 6 May 2026 / Published: 8 May 2026

Abstract

Suicide is commonly approached through clinical and psychological frameworks centred on the individual, alongside social explanations emphasising collective conditions. These perspectives offer complementary leverage for understanding and preventing suicidal behaviour. Between these levels, a clinically decisive segment can be specified with greater precision for psychiatric practice, namely the processes through which suffering becomes speakable, socially legitimate and clinically actionable, or is displaced into self-censorship, isolation and delayed help-seeking. This paper advances a service-facing biosemiotic model of suicide risk that formalises this segment as a communicative infrastructure and links it to the public circulation of suicide narratives across media and digital environments. The model comprises two coupled modules. The first, the communicative-classification module, characterises labelling and delegitimation operations that allocate epistemic credibility to crisis talk, foster self-stigma and increase the social cost of disclosing suffering. The second, the public-feedback module, specifies how media representation and repetition regulate the symbolic availability of narrative scripts, with closure- and openness-oriented configurations positioned along the Werther–Papageno continuum. Coupling the modules yields testable propositions concerning mediation via anticipated sanction and moderation by stigma and speakability and identifies conditions under which protective content may show limited translation into help-seeking behaviour. Implications are outlined for how the model may inform therapeutic risk assessment, continuity of care, and prevention. These implications are framed as hypotheses and implementation-relevant considerations derived from the model, with emphasis on (i) operationalising speakability as a clinically evaluable dimension, (ii) identifying institutional conditions that may reduce the communicative cost of help-seeking, and (iii) aligning public communication strategies with international reporting standards. The model is intended to support future empirical testing rather than to establish effectiveness at this stage.

1. Introduction

Suicide has historically been conceptualised through moral, juridical, biomedical and psychological registers. Their coexistence constitutes a field of legitimacy that structures which interpretations are treated as admissible, which forms of distress can be expressed without sanction, whose testimony is granted clinical credibility, and which institutional responses become stabilised—particularly under risk-governance and coercive-care logics in mental health systems [1,2].
This paper proceeds from the premise that suicide, beyond constituting a biographically salient clinical event, can be analysed as a biosemiotic object: psychobiological distress is organised, communicated and regulated through socially circulating signs, narrative templates and institutional categories. Here, “biosemiotic” denotes the coupling between psychobiological vulnerability states and the semiotic organisation of distress under service constraints. Biological processes shape phase-specific propensity and symptom salience, whereas semiotic and institutional processes regulate what becomes reportable, credible and actionable within care pathways. Accordingly, explanation and prevention require a multilevel framework that links subjective experience, mechanisms implicated in suicidality, and environmental processes of recognition and delegitimation as components of biosocial meaning-making [3,4].
In parallel, the clinical literature has consistently shown that traditional risk indicators and risk assessment approaches (including diagnostic history, prior suicidal behaviour, and sociodemographic correlates) have limited predictive value at the individual level, with particularly low positive predictive value for near-term outcomes. This limitation has motivated a shift away from individual-level prediction towards therapeutic risk assessment, formulation and management approaches that target proximal, clinically actionable processes [2].
This reframing aligns with contemporary work within ideation-to-action approaches that explicitly focus on mechanisms governing critical transitions (e.g., ideation → behaviour) and that can be operationalised for clinical and preventive purposes [5,6]. Within this trajectory, recent work has proposed clinically modifiable mediators linking adverse experiences to suicidality, including sleep disturbance as a psychobiological pathway connecting trauma exposure, affective dysregulation and elevated risk, articulated through integrative conceptual models [7].
The clinical problem is not exhausted by explaining why risk increases in particular contexts. A central task is to specify how psychological and somatic distress is subjectively construed as personal failure, guilt or inevitability, and how such construals relate to cognitive biases, hopelessness and cognitive constriction. These processes reduce psychological flexibility and restrict the representation of future alternatives, promoting closure states. Interpersonal and institutional environments shape this dynamic through contingencies that penalise or reinforce the expression of suffering, thereby facilitating silence, euphemism or risk minimisation. Within service settings, these dynamics are instantiated in practices of clinical listening, diagnostic recording, referral and continuity of care. Evidence indicates that care transitions and discontinuities in follow-up are associated with higher suicide risk, underscoring the importance of identifying conditions that facilitate or impede help-seeking [8].
At the population level, mass media and, increasingly, digital environments contribute to the construction of narrative frames around suicide that interact with individual psychological vulnerabilities. Empirical evidence has described associations between specific patterns of non-fictional coverage—particularly prominent reporting of celebrity suicides and certain reporting features—and subsequent population-level variation in suicides, reinforcing the need to treat representation as part of the risk environment [9]. Among adolescents and young adults, processes of social learning, modelling and contagion mediated by digital ecologies carry particular clinical relevance, especially in relation to the sharing and viewing of self-harm/suicide-related imagery and related interactional dynamics [10,11].
Within this perspective, available narrative frames shape the subjective definition of crisis, perceived legitimacy to seek help and expectations regarding clinical response. In a Luhmannian sense, this operates by structuring communicative expectations and the boundaries of what is “sayable” within a given interactional and institutional setting [12], thereby modulating the threshold between distress that can be articulated and distress that remains inhibited, with downstream effects on psychological isolation and delayed presentation [13,14]. Consistent with this, stigma associated with mental health problems and with seeking professional help has been identified as a significant barrier to help-seeking, with robust pooled associations—especially for help-seeking self-stigma, which shows strong negative associations with help-seeking attitudes and more moderate negative associations with intentions and subsequent help-seeking behaviour [15,16]. The present contribution formulates a service-facing biosemiotic infrastructure of suicide risk, defined as the set of communicative, institutional and psychological operations through which psychobiological distress becomes speakable, clinically credible and action-guiding within care pathways, while restricting the alternatives of meaning available to the individual and modulating the cognitive accessibility of suicide as an option under conditions of vulnerability. This infrastructure is organised into two coupled modules. The first, communicative-classification module, concerns processes of labelling and devaluation that impact self-concept, foster self-stigma and are associated with avoidance of disclosure and avoidance of help-seeking, with indirect effects on risk progression [16,17,18]. The second, public-feedback module, posits that media representation regulates the symbolic and cognitive availability of suicide, with effects ranging from imitative amplification to protective attenuation, consistent with meta-analytic evidence linking media reporting characteristics (including celebrity suicides and content features) to subsequent population-level variation, and with contemporary syntheses framing harmful versus protective reporting effects along the Werther–Papageno pattern [9,19]. The scope is restricted to clinically operative interfaces linking vulnerability states, narrative availability and institutional decision thresholds.
The model depends on the dynamic interaction between these modules. In environments characterised by a high stigma load, the speakability of suffering is reduced and crisis management tends to occur under psychological isolation. Stigmatisation, including its internalisation, is associated with reduced willingness to disclose suicidal ideation and lower likelihood of seeking professional help, in part through anticipated negative reactions and perceived adverse consequences of disclosure [20,21]. Synthesised evidence indicates that a substantial proportion of people with suicidal ideation or behaviour do not communicate these experiences to others, leaving many cases outside the reach of care systems and rendering speakability clinically salient as a critical dimension of access to help [13].
When the media environment additionally accumulates redundant closure-oriented narratives, suicide may acquire increased availability as an imaginable script. Empirical syntheses report associations between particular coverage styles and subsequent population-level variation, and international guidance indicates that repeated dissemination of suicide-death narratives can undermine prevention efforts, whereas narratives centred on coping and continued living can strengthen them [9,22]. For clarity, we use the Werther–Papageno continuum as an analytic shorthand for a spectrum of media and narrative configurations discussed in suicidology, ranging from portrayals associated with harmful contagion-like dynamics to portrayals associated with protective, coping- and help-seeking-oriented responses.
This articulation is consistent with contemporary approaches that distinguish the genesis of suicidal ideation from the transition to suicidal behaviour, and it supports the treatment of meaning-making and its communicative conditions as potentially relevant mechanisms in both phases [6,23]. The result is a concurrent restriction of alternatives, at the internal level through self-stigma, hopelessness and anticipated sanction, and at the external level through penalisation of distress expression and public circulation of narratives that normalise closure. By “speakability of suffering,” we refer to the extent to which suicidal distress can be expressed, recognised as legitimate, and communicated without disproportionate anticipated sanction within a given clinical and institutional context.
To orient the reader, we first present the coupled model (see Section 3) and its propositions, then summarise the most directly relevant evidence for each module, provide a prospective operationalisation map, and finally discuss how the framework may extend current practice by specifying service-facing interfaces for future evaluation.

2. Objectives and Method

2.1. Objectives

The overall objective (O0) is to develop a biosemiotic model of suicide risk that links the communicative-classification module of suffering with the mediated public-feedback module, with the capacity to generate testable propositions regarding self-stigma, speakability and help-seeking. The following specific objectives (Ox) are derived:
  • O1. To specify the communicative-classification module by identifying labelling, stigmatisation and unequal distribution of discursive legitimacy, and by articulating their theoretical links to self-stigma and withdrawal from help-seeking.
  • O2. To specify the public-feedback module as a mechanism regulating symbolic availability through media narratives and digital circulation, with an analytic anchor in the Werther–Papageno continuum.
  • O3. To derive testable propositions that articulate both modules, incorporating expectations of mediation and moderation between stigma, narrative exposure and risk markers.
The specific objectives delimit the inferential space for the research propositions. O1 yields an expectation regarding self-stigma and help-seeking when the communicative-classification module degrades identity and sanctions the articulation of suffering. O2 yields an expectation regarding the symbolic availability of suicide as a script as a function of narrative redundancy and public circulation. O3 integrates both modules to formulate expectations of mediation and moderation, such that exposure to narrative frames translates differentially according to the level of stigma and the social speakability of distress.

2.2. Narrative Review and Model-Building Approach

The manuscript adopts a problem-driven narrative review for conceptual model-building, designed to integrate heterogeneous empirical and theoretical literatures into an explicit mechanistic framework rather than to estimate pooled effects.
The aim is not exhaustiveness, but sufficient coverage of domains required to formalise the model, including stigma/self-stigma and help-seeking, Werther–Papageno media effects, digital ecologies and exposure, ideation-to-action frameworks, and continuity of care and care transitions, and to derive evaluable propositions.
A targeted search was conducted in major bibliographic databases used in the field (PubMed/MEDLINE, Scopus and Web of Science), supplemented by backward citation tracking from key reviews and meta-analyses and forward citation tracking of seminal contributions on stigma, ideation-to-action and Werther–Papageno effects. Searches combined terms including suicide/suicidality, stigma/self-stigma, help-seeking, media reporting, Werther/Papageno, social media/online exposure, ideation-to-action, transition of care/discharge, together with terms relating to communication and discursive legitimacy (e.g., disclosure, silence, narratives). Priority was given to recent literature (past 5 years) and, in particular, to systematic reviews, meta-analyses, international guidance and scoping/rapid reviews from 2021 onwards, while retaining foundational theoretical sources where required for conceptual formalisation.
To preserve mechanistic tractability, inclusion criteria followed a principle of mechanistic relevance. Included sources comprised (i) evidence syntheses (systematic reviews/meta-analyses) on stigma and help-seeking and on media effects; (ii) primary and experimental studies recurrently cited within those syntheses; (iii) contemporary theoretical frameworks in suicidology that distinguish phases (ideation versus transition to action) and locate intermediate mechanisms; and (iv) international technical standards relevant to prevention and public communication. Studies whose focus did not contribute mechanistic content to the model were excluded, including broad correlations without process specification and purely descriptive literature not linked to the model variables, except where used for contextual framing.
The output of this procedure is a structured conceptual synthesis and a set of evaluable propositions (P1–P4), not pooled estimates or direct hypothesis tests. First, a domain-based conceptual map was constructed, covering stigma–self-stigma–anticipated sanction–help-seeking, media representation and symbolic availability, exposure and repetition in digital environments, and care transitions, identifying convergences, contested areas and limitations. Second, these domains were integrated into a two-module coupled model and translated into testable propositions (P1–P4), formulated in terms of mediation (anticipated sanction/self-stigma/speakability) and moderation (stigma and speakability modulating the translation of narrative inputs into help-seeking), alongside operationalisation suggestions and minimally sufficient compatible designs. This operationalisation guidance is summarised as a prospective mapping in Table 1.

3. Model Structure and Assumptions

The suicide-risk model presented here specifies a putative clinical–communicative mechanism that links the psychiatric organisation of care, information-circulation ecologies and trajectories of suicidal crisis within service pathways. The model proceeds from a widely accepted multilevel assumption in contemporary suicidology, namely that suicidal behaviour emerges from the interaction between clinical vulnerabilities, exposure to stressors and social conditions, with determinants that vary by phase across the clinical process, from ideation to transition to behaviour [24,25]. Within this framework, the model isolates a segment of specific psychiatric relevance, namely the institutional production of the speakability of suicidal suffering and its effects on access, continuity and effectiveness of care.
In contemporary psychiatry, social determinants are integrated into the clinical phenomenon as conditions shaping symptomatic expression, risk assessment and continuity of care. The model is situated within this intersection, characteristic of social and services psychiatry, and conceptualises the speakability of suffering as a relational clinical variable. It emerges from interactions between patient, care settings and organisational norms, and conditions the threshold, channels and interlocutors through which suicidal ideation acquires the status of a clinically actionable presentation.
The model is organised into two coupled modules. The communicative-classification module describes the operations through which suicidal suffering is recognised, minimised or delegitimated within clinical and institutional contexts. These operations include diagnostic labelling, risk stratification, application of admission criteria, referral decisions and the use of operational categories in suicide assessment. Collectively, they shape the clinical credibility of the patient’s account and the care-related costs of disclosing suicidal ideation. The core mechanism is the translation of social and institutional stigma into clinically consequential self-stigma and into anticipated service responses perceived as punitive, including coercive hospitalisation, loss of autonomy or neglect of suffering. This process is associated with symptom concealment, under-reporting of ideation and avoidance of contact with psychiatric services, and is consistent with the public-stigma/self-stigma distinction and with evidence identifying stigma as a structural barrier to access and continuity of mental health treatment [13,14,18,26]. The public-feedback module specifies how mass media and digital platforms configure a narrative environment that interacts with psychiatric practice and patient experience. This environment contributes to the formation of interpretive frames for suicidal crisis that shape how patients understand their distress and anticipate service responses. The minimal formalisation draws on the Werther–Papageno continuum, treated here as a regulator of the clinical availability of narrative scripts for interpreting suicidal ideation. Under closure-oriented configurations, representation tends to promote dramatisation, reductive attribution and models of inevitability, which may intensify hopelessness, cognitive constriction and avoidance of clinical contact. Under protective configurations, representation emphasises coping, support, therapeutic alternatives and access to resources, facilitating the incorporation of suffering into care pathways. Synthesised evidence reports associations between particular coverage styles and population-level variation in suicide, and experimental evidence indicates protective effects of hope- and recovery-oriented narratives under specific design and exposure conditions [9,22,27].
The model’s central hypothesis concerns clinical–service coupling. Exposure to public narratives does not translate directly or uniformly into suicidal behaviour or psychiatric help-seeking. Its effects depend on the local structure of clinical classification, in particular, the level of institutional stigma and the speakability of suffering within available care settings. Where the perceived care-related cost of speaking is high, through fear of sanction, diagnostic invalidation, involuntary admission or disruption of therapeutic continuity, narrative inputs may be processed without resource activation, promoting silent consumption and disengagement from the health system. Where vulnerability is clinically speakable and care settings are accessible, continuous and non-punitive, the same inputs may facilitate early activation of care and sustained engagement. This assumption positions speakability as a specifically psychiatric intermediate mechanism by linking service organisation, patient experience and clinical outcomes. In this model, care activation is operationalised as disclosure during assessment, acceptance of referral, initial service contact and continuity of care. Figure 1 summarises the model and makes explicit the mediation and moderation relations that structure the empirical propositions.
As shown in Figure 1, the model delineates two complementary and coupled clinical pathways, which can be read from left to right. The institutional–service pathway represents the communicative-classification module and its effects on disclosure and care activation through self-stigma, anticipated sanction, and the speakability of suffering, thereby affecting the likelihood of disclosing suicidal ideation, accepting referrals, and sustaining therapeutic continuity. The public pathway represents narrative circulation and the symbolic availability of scripts for interpreting crisis, with configurations ranging from closure-oriented to openness-oriented patterns along the Werther–Papageno continuum. The critical feature is the coupling between the two pathways: exposure to circulating narratives may facilitate contact with psychiatric services or be functionally neutralised when the care organisation increases the clinical cost of speaking.

3.1. Testable Propositions

P1. In clinical and institutional contexts in which suicide is implicitly or explicitly associated with moral weakness, irrationality or a stable defect, higher clinically consequential self-stigma is expected, alongside lower likelihood of disclosing suicidal ideation during assessment and lower stated intention to seek or maintain contact with services. This effect is mediated by anticipated institutional sanction, including expectations of coercive hospitalisation, delegitimation of suffering or loss of autonomy. This proposition is consistent with evidence identifying stigma and self-stigma as structural barriers to access and continuity of mental health treatment [13,14,18,26].
P2. In media or digital environments characterised by high redundancy of closure-oriented narratives, dramatisation and monocausal attributions of suicide, increased clinical availability of suicide as an interpretive script for crisis is expected. This increase is observable in language of inevitability, identification with suicidal models and behavioural modelling in subsequent communications, and is associated with elevated clinical risk markers such as hopelessness, cognitive constriction and avoidance of service contact. This proposition accords with syntheses documenting associations between particular forms of media coverage and population-level variation in suicide, underscoring the role of content characteristics in determining effect magnitude [9].
P3. Sustained circulation of Papageno components, understood as representations of coping, social support, therapeutic alternatives and access to care resources, is expected to be associated with increased explicit references to professional help, greater diversity of narrative alternatives for interpreting crisis and reduced expressions of temporal closure. Clinically, greater readiness to contact services, accept referrals and sustain continuity of care is anticipated. This proposition is congruent with synthesised experimental evidence on hope- and recovery-oriented stories and with technical standards for responsible reporting emphasising resources and therapeutic alternatives [22,27].
P4. The effect of media narratives on clinical risk markers and activation of help-seeking behaviour is moderated by the communicative-classification module. Given equivalent narrative exposure, service contexts with lower institutional stigma and higher speakability of suffering are expected to show greater translation of protective inputs into effective contact with care pathways, whereas contexts characterised by stigmatising practices are expected to promote silent narrative consumption, concealment of ideation and reduced activation of resources. This expectation follows directly from the proposed coupling and is consistent with evidence on stigma as a barrier to help-seeking and continuity of mental health treatment [13,18,26].
These propositions do not presuppose individual-level prediction or prospective diagnostic classification. They specify mechanisms and conditions under which clinically relevant associations, mediations and moderations may be observed at the level of clinical interaction, service organisation and public circulation of narratives. The following section develops the underlying mechanisms and identifies the points at which the available evidence is most directly informative for empirical testing of the model.

3.2. Mechanisms of a Communicative-Classification Module

Deviance is defined here as a clinical–relational effect produced by situated operations of diagnostic and administrative classification, risk stratification and differential validation of suffering within care settings. In psychiatric practice, these operations organise case intelligibility and structure triage decisions, resource allocation, therapeutic intensity and continuity of care. Within this framework, stigma functions as a mechanism of clinical credibility. It modulates the epistemic uptake of the patient’s testimony and shapes its incorporation into clinical judgement, its prioritisation or its dismissal. In clinical suicidology, their relevance is immediate through effects on thresholds for presentation, risk formulation and service response.
In the case of suicide, high normative density and the ‘unspeakable’ status of suicidal suffering increase perceived sanction, symptom concealment and self-censorship during clinical assessment. These dynamics affect the likelihood that suicidal ideation is verbalised and shape how it is presented, minimised or reformulated by the patient [14,28].
Stigma is therefore conceptualised as a clinically operative communicative infrastructure rather than an aggregate of individual attitudes. In psychiatry, the distinction between public stigma and self-stigma is central for understanding how social and institutional norms are internalised and come to modulate clinically relevant processes. Evidence indicates that self-stigma affects treatment expectations, perceived legitimacy of receiving care, therapeutic adherence and sustained engagement with care settings. Consistently, syntheses show that stigma is associated with delayed help-seeking and treatment gaps, and meta-analytic evidence indicates that help-seeking self-stigma is negatively associated with help-seeking (stronger for attitudes, moderate for intentions and behaviour), with effect sizes that are robust but vary by population and service context [16,18]. Operationally, this infrastructure is instantiated in psychiatric linguistic and procedural practices. It includes interview routines, risk-assessment instruments, triage systems, operational diagnostic categories and professional discourses that allocate clinical positions, for example, ‘complex case’, ‘low risk’, ‘manipulation’ or ‘instrumental behaviour’. These classifications, even when they serve necessary organisational functions, may restrict the patient’s narrative agency at critical moments, limit the articulation of ambivalence and reinforce strategies of concealing suicidal suffering.
The circuit closes with self-stigma as a clinically consequential proximal mechanism. Internalisation of degrading or delegitimating categories increases anticipatory shame, fear of service responses perceived as punitive and reduced willingness to disclose suicidal ideation. This process narrows the repertoire of interlocutors deemed safe both within and outside the health system. Within ideation-to-action frameworks, these mechanisms plausibly modulate the motivational phase, particularly persistent ideation and hopelessness, and, indirectly, the volitional transition when crisis is managed in isolation without access to formal or informal supports [24].

3.3. Public-Feedback Module and Regulation of Symbolic Availability

Evidence on media effects focuses on specific properties of suicide representation and on exposure conditions of direct clinical relevance. These properties include level of detail, causal attribution, dramatisation, identification with a model, and the presence or absence of therapeutic alternatives. Evidence syntheses consistently indicate associations between specific properties of suicide representation and subsequent suicide-related outcomes, while also noting methodological limits on causal inference in observational designs [29]. A broad-scope meta-analysis reports a higher risk following coverage of suicides involving public figures and effects contingent on content characteristics [9], consistent with mechanisms of modelling, vicarious learning, and symbolic availability operating conditional on pre-existing clinical vulnerabilities.
The preventive counterpart is formalised as the Papageno effect. At the experimental level, a synthesis with meta-analysis of randomised trials examining media stories of hope and recovery reported reductions in suicidal ideation among vulnerable individuals and discussed conditions under which such narratives may improve help-seeking attitudes and intentions [27]. In parallel, international standards for responsible reporting recommend minimising elements that facilitate imitation and strengthening components oriented towards service resources, support and therapeutic alternatives [22]. On this basis, propositions P2 and P3 are framed as clinically grounded hypotheses derived from the empirical literature and technical guidance rather than as general inferences.

3.4. Digital Ecologies and Visibility Architecture

Digitalisation shifts analytic attention to a visibility regime with direct implications for the services of psychiatry. This regime is governed by recommender systems, engagement metrics and repetition dynamics that shape cumulatively relevant exposure patterns from a clinical standpoint. Exposure can be characterised in terms of narrative redundancy, temporal sequences with peaks and carryover, access via search or recommendation, and the stability of interpretive communities. In younger populations, available syntheses report heterogeneous relations between digital environments and self-harm, with both magnitude and direction dependent on content type, use modality and prior clinical vulnerability, rendering global “social media use” an inadequate exposure proxy [30,31].
At the communicative level, platforms privilege highly replicable, low-friction units (e.g., images, micro-narratives, memes, and tags) and enable internal semiosis through codified repertoires that may evade external interpretation. Empirical work illustrates these dynamics in platform-specific forms, including ambiguous self-harm-related hashtag practices on Instagram and low adherence to responsible reporting guidance in suicide news shared on Facebook, with engagement providing a measurable visibility parameter [10,32].

3.5. Operationalisation

The proposed empirical strategy for future research is oriented towards isolating communicative mechanisms and testing the propositions, without any aim of individual-level prediction. This choice is consistent with well-documented limitations of prediction based on risk factors, including the limited clinical utility of global stratification and of tools/scales intended to predict suicide or repetition of self-harm, and with the need for evaluable, formulation-oriented mechanistic approaches [33,34].
The mapping between constructs, indicators, units of analysis, data sources and analytic strategies is summarised in Table 1.
Table 1. Mapping of model constructs to observable indicators, units of analysis, data sources, and analytic strategies.
Table 1. Mapping of model constructs to observable indicators, units of analysis, data sources, and analytic strategies.
ConstructObservable IndicatorUnit of AnalysisData SourceAnalytic Strategy
Public stigmaFrequency of moralising frames and derogatory labels in local corporaTextLocal media, public networks, institutional documentsDictionary-based content analysis and human coding
Self-stigmaScores on validated scales and linguistic markers of shame and self-censorshipIndividual, textSurveys, interviews, diaries, anonymised public textsRegression models and comparative qualitative analysis
SpeakabilityWillingness to disclose suffering, breadth of interlocutors, and help-seeking intentionIndividualSurveys, interviews, experimental vignettesMediation models with measures of anticipated sanction
Werther componentsImitative detail, dramatisation, monocausality, identification with modelsMedia itemNews, public posts, short-form videoFrame coding; time-series analyses with exposure windows
Papageno componentsCoping, support, access to resources, narrative alternativesMedia item, conversationNews, campaigns, public postsTrials or quasi-experiments; pre–post analyses; exposure-based comparisons
Visibility architectureRedundancy, persistence, peaks, access routes via recommendation or searchTime seriesPublic metrics, ethical scraping, APIs, aggregation databasesTime-series models, distributed lag models, diffusion analysis
Help-seekingStated intention, resource contact, referralsIndividual, eventSurveys, aggregated service recordsMultilevel models and discontinuity analyses
Note. Indicators are illustrative and should be parameterised to local service configuration and data-generating processes. “Speakability” is operationalised as perceived disclosure cost, anticipated institutional or interpersonal sanction, and availability of safe interlocutors. “Visibility architecture” refers to observable exposure dynamics such as redundancy, persistence, peaks and access routes, without assuming access to platform recommender parameters. Associations are expected to concentrate on specific exposure constructs rather than global use proxies, and estimates require explicit temporal windows and confounding control. Source: own elaboration.
This mapping is programmatic and prospective: it specifies minimally compatible measurement strategies for future empirical testing of the model, rather than methods applied to original data in the present paper. The communicative-classification module can be approximated through linguistic and procedural indicators in local corpora, interactions and institutional documentation. Self-stigma can be measured with validated scales and with linguistic signals of shame and self-censorship in interviews or texts. Speakability can be measured as willingness to disclose suffering, the range of plausible interlocutors and the perceived cost of speaking in relevant contexts. The public-feedback module can be approximated through content coding and circulation measurement. Visibility architecture can be approximated through redundancy, persistence and temporal peaks in exposure, without assuming access to internal recommender parameters.
Compatible evaluation designs include mediation models for P1, exposure-window approaches for P2–P3 (combining content features with temporal dynamics), and interaction models for P4 incorporating local measures of institutional stigma/speakability. Table 1 summarises candidate indicators, data sources, and analytic families; specific windowing, confounding control, and lag specification should be set to local service configuration and data-generating processes.

3.6. Implications

Implications follow in four domains. For therapeutic risk assessment, the model highlights speakability and anticipated sanction as clinically evaluable constraints on disclosure. For continuity of care, it foregrounds transition points and institutional conditions that increase or reduce the communicative cost of remaining in contact with services. For prevention and public communication, it situates media narratives within a visibility architecture that can shift symbolic availability toward closure- or coping-oriented scripts. Finally, it motivates literacy- and environment-oriented strategies as potentially modifiable interfaces linking clinical and public ecologies, delineating targets for future evaluation in settings characterised by high vulnerability.

4. Discussion and Conclusions

This discussion focuses on what the model adds beyond current practice by specifying service-facing interfaces, clarifying evidential requirements for evaluation, and identifying where effects are expected to depend on local stigma and speakability conditions.
The proposed model specifies a putative intermediate clinical–communicative mechanism for understanding variation in suicide risk and, in particular, activation, delay, or discontinuation of help-seeking. As a conceptual Perspective, the model is not presented as a validated clinical framework or as evidence of demonstrated preventive or clinical impact; rather, it specifies mechanisms and testable propositions that require empirical evaluation across service contexts.
Relative to approaches focused exclusively on individual factors or broad structural conditions, the model formalises speakability as an articulation point linking psychiatric practices, service organisation, clinical interactions and public circulation of narratives. This specification is pertinent in a field where, despite the accumulation of predictors, stratification algorithms and risk models, limitations in clinical utility, generalisability and capacity to inform concrete service decisions persist, strengthening the case for interpretable, situated and intervention-oriented mechanisms [35,36,37,38]. From a clinical and services psychiatry perspective, the model proposes that a non-trivial portion of observed variation in persistent ideation, risk concealment and late service contact is organised around perceived costs of disclosing suicidal suffering and the effective availability of interlocutors and care routes. This framing integrates dispersed evidence on stigma, help-seeking and continuity of care within a common structure and offers a mechanistic account of why structurally similar interventions may yield divergent outcomes depending on institutional and relational implementation context.
In public communication, the model supports interpretation of recent evidence without reducing it to average effects or simple causal relations. A synthesis on fictional portrayals of suicide and attempt in entertainment media supports the view that clinical impact depends on specific narrative configurations and reception conditions, including identification with characters and availability of represented alternatives [39]. Experimental evidence on hope- and recovery-oriented stories suggests beneficial effects on suicidal ideation among vulnerable individuals, with greater uncertainty for help-seeking indicators, warranting caution in translating these findings into general recommendations [27]. The model’s contribution is to attribute part of this variability to coupling between narrative circulation and local conditions of institutional stigma and speakability, variables directly relevant to psychiatric practice.
Regarding digital environments, the meta-analysis on social media and self-injurious thoughts and behaviours reinforces the need for clinically informed and conceptually precise measurement. Associations strengthen when specific constructs are used, such as exposure to self-harm-related content, problematic use or victimisation experiences, and weaken when global proxies such as total time connected are employed [31]. This pattern is consistent with the model’s visibility-architecture concept and with the proposition that repetition and narrative saturation stabilise interpretive scripts, while clinical and institutional environments regulate what can be done with those scripts in terms of disclosure, access to help and continuity of care. From a psychiatric standpoint, this shifts analytic focus from platform use per se to the conditions under which exposure interacts with clinical vulnerabilities and access barriers.
The clinical and organisational dimension is particularly salient for empirical testing of the model. The linkage between speakability, continuity of care and help-seeking barriers aligns with recent reviews describing a multi-layered landscape of facilitators and obstacles to accessing and sustaining care and highlighting the difficulty of integrating individual, institutional and contextual levels within a single analytic framework [40,41]. Evidence on post-discharge risk and the impact of early follow-up further emphasises the importance of maintaining accessible, continuous and non-punitive contact channels during periods of high clinical vulnerability [42].
The model has methodological and measurement limitations. Speakability requires instrumentation sensitive to care context, institutional relations and asymmetries of clinical authority, to avoid reification as a stable individual trait. Empirically, estimating effects of narrative circulation requires separating exposure from self-selection, given that consumption patterns may depend on prior vulnerability, clinical trajectory and active search behaviour. These considerations define evidential requirements for evaluation and orient testing strategies towards interactions, care transitions and local conditions, with confounding control and explicit temporal specification.
The model further posits a clinically relevant coupling between the communicative-classification module and public-feedback module that contributes to variation in help-seeking, continuity of care and availability of crisis-interpretation scripts. In application, it identifies candidate intervention targets—reducing communicative costs of help request, reinforcing continuity of care at critical transitions, and promoting protective narrative ecologies compatible with psychiatric practice. In research, it specifies a test programme based on designs estimating interactions between narrative exposure, institutional stigma and speakability, using specific measures, defined temporal windows and outcomes linked to clinical and organisational decision-making.

Author Contributions

Conceptualization, E.F.-V. and J.R.C.; methodology, E.F.-V. and J.R.C.; software, E.F.-V.; validation, E.F.-V. and J.R.C.; formal analysis, E.F.-V. and J.R.C.; investigation, E.F.-V. and J.R.C.; resources, E.F.-V.; data curation, E.F.-V.; writing—original draft preparation, E.F.-V.; writing—review and editing, E.F.-V.; visualisation, E.F.-V.; supervision, J.R.C.; project administration, J.R.C.; funding acquisition, E.F.-V. and J.R.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the University of Valladolid, The Bank of Santander (Spain), Grant number: 2024-3608, and “Research Development Grants 2025–2026” Cátedra CeI-Caja Rural.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Hawton, K.; Lascelles, K.; Brand, F.; Casey, D.; Bale, E.; Ness, J. Assessment of suicide risk in mental health practice: Shifting from prediction to therapeutic assessment, formulation, and risk management. Lancet Psychiatry 2022, 9, 922–928. [Google Scholar] [CrossRef]
  2. Lundahl, A. Suicide Risk Assessments Understood as Medical Rituals: Functions and Implications from Societal and Medico-Ethical Perspectives. J. Bioethical Inq. 2025, 22, 781–790. [Google Scholar] [CrossRef]
  3. Gómez-Carrillo, A.; Kirmayer, L.J. A cultural-ecosocial systems view for psychiatry. Front. Psychiatry 2023, 14, 1031390. [Google Scholar] [CrossRef]
  4. Tio, E.S.; Misztal, M.C.; Felsky, D. Evidence for the biopsychosocial model of suicide: A review of whole person modeling studies using machine learning. Front. Psychiatry 2024, 14, 1294666. [Google Scholar] [CrossRef]
  5. Torino, G.; Calati, R.; Brambilla, P.; Delvecchio, G. Ideation-to-action framework of suicide: A systematic review of the Integrated Motivational-Volitional model and the Three-Step Theory. J. Affect. Disord. 2026, 399, 121138. [Google Scholar] [CrossRef]
  6. Souza, K.; Sosu, E.M.; Thomson, S.; Rasmussen, S. A systematic review of the studies testing the integrated motivational-volitional model of suicidal behaviour. Health Psychol. Rev. 2024, 18, 698–722. [Google Scholar] [CrossRef]
  7. Baldini, V. From Trauma to Suicidality: The Mediating Role of Sleep Disturbances—Evidenced from a Narrative Mini-Review. Psychiatry Int. 2025, 6, 149. [Google Scholar] [CrossRef]
  8. Tai, A.; Pincham, H.; Basu, A.; Large, M. Meta-analysis of risk factors for suicide after psychiatric discharge and meta-regression of the duration of follow-up. Aust. N. Z. J. Psychiatry 2025, 59, 679–691. [Google Scholar] [CrossRef]
  9. Niederkrotenthaler, T.; Braun, M.; Pirkis, J.; Till, B.; Stack, S.; Sinyor, M.; Tran, U.S.; Voracek, M.; Cheng, Q.; Arendt, F.; et al. Association between suicide reporting in the media and suicide: Systematic review and meta-analysis. BMJ 2020, 368, m575. [Google Scholar] [CrossRef]
  10. Marchant, A.; Hawton, K.; Burns, L.; Stewart, A.; John, A. Impact of Web-Based Sharing and Viewing of Self-Harm-Related Videos and Photographs on Young People: Systematic Review. J. Med. Internet Res. 2021, 23, e18048. [Google Scholar] [CrossRef]
  11. Susi, K.; Glover-Ford, F.; Stewart, A.; Knowles Bevis, R.; Hawton, K. Research Review: Viewing self-harm images on the internet and social media platforms: Systematic review of the impact and associated psychological mechanisms. J. Child Psychol. Psychiatry Allied Discip. 2023, 64, 1115–1139. [Google Scholar] [CrossRef]
  12. Luhmann, N. The Reality of the Mass Media; Stanford University Press: Stanford, CA, USA, 2000. [Google Scholar]
  13. Hallford, D.J.; Rusanov, D.; Winestone, B.; Kaplan, R.; Fuller-Tyszkiewicz, M.; Melvin, G. Disclosure of suicidal ideation and behaviours: A systematic review and meta-analysis of prevalence. Clin. Psychol. Rev. 2023, 101, 102272. [Google Scholar] [CrossRef]
  14. Litschi, M.A.; Lancaster, S.L.; Linkh, D.J.; Lafferty, M. “They’ll Talk About Everything Else… But Suicidal Ideation”: Clinician Experiences Addressing Non-Disclosure of Suicidal Ideation Among Military-Affiliated Clients. J. Gen. Intern. Med. 2025, 40, 3684–3693. [Google Scholar] [CrossRef]
  15. Crockett, M.A.; Núñez, D.; Martínez, P.; Borghero, F.; Campos, S.; Langer, Á.I.; Carrasco, J.; Martínez, V. Interventions to Reduce Mental Health Stigma in Young People: A Systematic Review and Meta-Analysis. JAMA Netw. Open 2025, 8, e2454730. [Google Scholar] [CrossRef]
  16. Lannin, D.G.; Bible, J.P. Self-stigma of seeking help: A meta-analysis. In The Cambridge Handbook of Stigma and Mental Health; Vogel, D.L., Wade, N.G., Eds.; Cambridge University Press: Cambridge, UK, 2022; pp. 111–142. [Google Scholar]
  17. Goffman, E. Stigma: Notes on the Management of Spoiled Identity; Prentice-Hall: Englewood Cliffs, NJ, USA, 1963. [Google Scholar]
  18. Kågström, A.; Guerrero, Z.; Aliev, A.A.; Tomášková, H.; Rüsch, N.; Ouali, U.; Thornicroft, G.; Sartorius, N.; Winkler, P. Mental health stigma and its consequences: A systematic scoping review of pathways to discrimination and adverse outcomes. EClinicalMedicine 2025, 89, 103588. [Google Scholar] [CrossRef]
  19. Domaradzki, J. The Werther Effect, the Papageno Effect or No Effect? A Literature Review. Int. J. Environ. Res. Public Health 2021, 18, 2396. [Google Scholar] [CrossRef]
  20. Kelly, A.G.; Tonge, N.A. Internalized stigma and help-seeking across problems and targets: Internalized stigma and help-seeking willingness across help-seeking targets. J. Behav. Health Serv. Res. 2025. [Google Scholar] [CrossRef]
  21. Wyllie, J.M.; Robb, K.A.; Sandford, D.; Etherson, M.E.; Belkadi, N.; O’Connor, R.C. Suicide-related stigma and its relationship with help-seeking, mental health, suicidality and grief: Scoping review. BJPsych Open 2025, 11, e60. [Google Scholar] [CrossRef]
  22. World Health Organization. Preventing Suicide: A Resource for Media Professionals, Updated 2023; World Health Organization: Geneva, Switzerland, 2023; Available online: https://www.who.int/publications/i/item/9789240076846 (accessed on 12 January 2026).
  23. Littleton, L.L.; Rehbein, D.M.; Barber, J.J.; Muehlenkamp, J.J. Testing Suicide Ideation-to-Action Theory Differences Among Those with Nonsuicidal Self-Injury. Arch. Suicide Res. 2025, 29, 91–102. [Google Scholar] [CrossRef]
  24. O’Connor, R.C.; Kirtley, O.J. The integrated motivational-volitional model of suicidal behaviour. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 2018, 373, 20170268. [Google Scholar] [CrossRef]
  25. Turecki, G.; Brent, D.A. Suicide and suicidal behaviour. Lancet 2016, 387, 1227–1239. [Google Scholar] [CrossRef] [PubMed]
  26. Dubreucq, J.; Plasse, J.; Franck, N. Self-stigma in Serious Mental Illness: A Systematic Review of Frequency, Correlates, and Consequences. Schizophr. Bull. 2021, 47, 1261–1287. [Google Scholar] [CrossRef]
  27. Niederkrotenthaler, T.; Till, B.; Kirchner, S.; Sinyor, M.; Braun, M.; Pirkis, J.; Tran, U.S.; Voracek, M.; Arendt, F.; Ftanou, M.; et al. Effects of media stories of hope and recovery on suicidal ideation and help-seeking attitudes and intentions: Systematic review and meta-analysis. Lancet Public Health 2022, 7, e156–e168. [Google Scholar] [CrossRef] [PubMed]
  28. Rex, M.; Waern, M.; Carlström, E.; Joneken, I.; Tell, S.; Brezicka, T.; Ali, L. Person-centred suicide prevention: Key elements from the perspective of people living with suicidality. Int. J. Qual. Stud. Health Well-Being 2025, 20, 2549752. [Google Scholar] [CrossRef] [PubMed]
  29. Pirkis, J.; Blood, R.W. Suicide and the media. Part I: Reportage in nonfictional media. Crisis 2001, 22, 146–154. [Google Scholar] [CrossRef]
  30. Jaycox, L.H.; Murphy, E.R.; Zehr, J.L.; Pearson, J.L.; Avenevoli, S. Social Media and Suicide Risk in Youth. JAMA Netw. Open 2024, 7, e2441499. [Google Scholar] [CrossRef]
  31. Nesi, J.; Burke, T.A.; Bettis, A.H.; Kudinova, A.Y.; Thompson, E.C.; MacPherson, H.A.; Fox, K.A.; Lawrence, H.R.; Thomas, S.A.; Wolff, J.C.; et al. Social media use and self-injurious thoughts and behaviors: A systematic review and meta-analysis. Clin. Psychol. Rev. 2021, 87, 102038. [Google Scholar] [CrossRef]
  32. Sumner, S.A.; Burke, M.; Kooti, F. Adherence to suicide reporting guidelines by news shared on a social networking platform. Proc. Natl. Acad. Sci. USA 2020, 117, 16267–16272. [Google Scholar] [CrossRef]
  33. Ballard, E.D.; Gilbert, J.R.; Wusinich, C.; Zarate, C.A., Jr. New Methods for Assessing Rapid Changes in Suicide Risk. Front. Psychiatry 2021, 12, 598434. [Google Scholar] [CrossRef]
  34. Gariépy, G.; Zahan, R.; Osgood, N.D.; Yeoh, B.; Graham, E.; Orpana, H. Dynamic Simulation Models of Suicide and Suicide-Related Behaviors: Systematic Review. JMIR Public Health Surveill. 2024, 10, e63195. [Google Scholar] [CrossRef]
  35. Kirtley, O.J.; van Mens, K.; Hoogendoorn, M.; Kapur, N.; de Beurs, D. Translating promise into practice: A review of machine learning in suicide research and prevention. Lancet Psychiatry 2022, 9, 243–252. [Google Scholar] [CrossRef]
  36. Kusuma, K.; Larsen, M.; Quiroz, J.C.; Gillies, M.; Burnett, A.; Qian, J.; Torok, M. The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review. J. Psychiatr. Res. 2022, 155, 579–588. [Google Scholar] [CrossRef]
  37. Seyedsalehi, A.; Fazel, S. Suicide risk assessment tools and prediction models: New evidence, methodological innovations, outdated criticisms. BMJ Ment. Health 2024, 27, e300990. [Google Scholar] [CrossRef] [PubMed]
  38. Seyedsalehi, A.; Bailey, J.; Ogonah, M.G.T.; Fanshawe, T.R.; Fazel, S. Prediction models for self-harm and suicide: A systematic review and critical appraisal. BMC Med. 2025, 23, 549. [Google Scholar] [CrossRef] [PubMed]
  39. Niederkrotenthaler, T.; Kirchner, S.; Till, B.; Sinyor, M.; Tran, U.S.; Pirkis, J.; Spittal, M.J. Systematic review and meta-analyses of suicidal outcomes following fictional portrayals of suicide and suicide attempt in entertainment media. EClinicalMedicine 2021, 36, 100922. [Google Scholar] [CrossRef] [PubMed]
  40. Cox, J.A.; Mills, L.; Hermens, D.F.; Read, G.J.M.; Salmon, P.M. A Systematic Review of the Facilitators and Barriers to Help-Seeking for Self-Harm in Young People: A Systems Thinking Perspective. Adolesc. Res. Rev. 2024, 9, 411–434. [Google Scholar] [CrossRef]
  41. Shin, H.D.; Kemp, J.; Groves, S.; Bennett-Poynter, L.; Pape, C.; Lascelles, K.; Strudwick, G. Help-Seeking Needs Related to Suicide Prevention for Individuals in Contact with Mental Health Services: A Rapid Scoping Review. J. Psychiatr. Ment. Health Nurs. 2025, 32, 217–241. [Google Scholar] [CrossRef]
  42. Che, S.E.; Gwon, Y.G.; Kim, K.H. Follow-Up Timing After Discharge and Suicide Risk Among Patients Hospitalized with Psychiatric Illness. JAMA Netw. Open 2023, 6, e2336767. [Google Scholar] [CrossRef]
Figure 1. Suicide risk model. The communicative-classification module influences psychiatric help-seeking via self-stigma, anticipated sanction and the speakability of suffering (P1). The public-feedback module regulates the symbolic availability of narrative scripts along the Werther–Papageno continuum and is associated with clinical risk markers (P2–P3). The effect of narrative exposure on care activation is moderated by institutional stigma and speakability (P4). Solid arrows indicate primary hypothesised pathways/direct influences within and across modules; dotted arrows indicate contextual modulation and coupling relations (including conditional or moderating effects). Source: own elaboration.
Figure 1. Suicide risk model. The communicative-classification module influences psychiatric help-seeking via self-stigma, anticipated sanction and the speakability of suffering (P1). The public-feedback module regulates the symbolic availability of narrative scripts along the Werther–Papageno continuum and is associated with clinical risk markers (P2–P3). The effect of narrative exposure on care activation is moderated by institutional stigma and speakability (P4). Solid arrows indicate primary hypothesised pathways/direct influences within and across modules; dotted arrows indicate contextual modulation and coupling relations (including conditional or moderating effects). Source: own elaboration.
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Fernández-Vilas, E.; Coca, J.R. Speakability of Suffering and Media Ecologies: A Coupled Model of Suicide Risk. Psychiatry Int. 2026, 7, 106. https://doi.org/10.3390/psychiatryint7030106

AMA Style

Fernández-Vilas E, Coca JR. Speakability of Suffering and Media Ecologies: A Coupled Model of Suicide Risk. Psychiatry International. 2026; 7(3):106. https://doi.org/10.3390/psychiatryint7030106

Chicago/Turabian Style

Fernández-Vilas, Enrique, and Juan R. Coca. 2026. "Speakability of Suffering and Media Ecologies: A Coupled Model of Suicide Risk" Psychiatry International 7, no. 3: 106. https://doi.org/10.3390/psychiatryint7030106

APA Style

Fernández-Vilas, E., & Coca, J. R. (2026). Speakability of Suffering and Media Ecologies: A Coupled Model of Suicide Risk. Psychiatry International, 7(3), 106. https://doi.org/10.3390/psychiatryint7030106

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