Aller au contenu principal
Accès ouvert déclaré 2024 article

Investigating AVHs narratives through text analysis: the proposal of Dialogic Science for tackling stigmatization

3Citations signalées, ce qui n’est pas une note de qualité
2Institutions déclarées
2Pays d’affiliation déclarés

Rattachement africain : es, it. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

BACKGROUND: Auditory verbal hallucinations (AVHs) are a significant symptom of various psychological conditions, often stigmatized and misunderstood. Moving beyond traditional psychological, psychotherapeutic and psychiatric approaches, recent research shifts focus on understanding AVHs through community perspectives and the resulting stigmatization. This research approach is crucial for better support and understanding of AVHs, however it still suffers from the lack of a rigorous and shared methodology for studying and reducing stigma. METHODS: Our study, part of the Italian "PsicoVoice" project, aims to investigate community discourses on AVHs, in order to observe whether and to what extent they are drivers of stigmatisation processes. Engaging 268 participants with direct (hearers) and indirect (such as relatives and professionals) experiences of AVHs, the research analyzes a corpus of 54,320 instances using MADIT: a text analysis methodology which is both qualitative and quantitative. MADIT allows for an innovative examination of the rhetorical-argumentative structures within narratives, producing an index for measuring the narratives' practical impact on people' interactions around AVHs. RESULTS: The analysis revealed that the overall community discourses are predominantly shaped by absolute and personal belief-driven modalities. This way of conveying sense, even with non-necessarily-judgmental words, contributes to a stigmatizing environment for individuals with AVHs, cementing a static representation dominated by personal opinions and reducing the potential for more nuanced, diverse interactions about AVHs. CONCLUSION: The study's findings underscore the importance of addressing the narrative structures within community discourses. By intervening in these narratives, there is potential to shift towards a less stigmatizing social construction of AVHs. Thus, the article concludes using the results to provide some insights on how to generate these interventions. This approach could significantly impact how communities understand and interact with individuals experiencing AVHs, promoting more inclusive and supportive environments and interventions.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Investigating AVHs narratives through text analysis: the proposal of Dialogic Science for tackling stigmatization
Date Crossref
10/08/2024
Éditeur
Springer Science and Business Media LLC
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Où se fait cette recherche

  • Universidade de Santiago de Compostela pays non établi dans la notice
    Université ou école supérieure
  • University of Padua Pedagogia e Psicologia Applicata (FISPPA) pays non établi dans la notice
    Université ou école supérieure
  • University of Santiago de Compostela Centro Singular de Investigacion en Tecnoloxìas Intelixentes (CiTIUS) pays non établi dans la notice
    Université ou école supérieure
  • Associazione Nazionale "Sentire le Voci" pays non établi dans la notice
    Institution

Universidade de Santiago de Compostela, Pedagogia e Psicologia Applicata (FISPPA) — University of Padua et Centro Singular de Investigacion en Tecnoloxìas Intelixentes (CiTIUS) — University of Santiago de Compostela, avec 1 autre affiliation.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Mental Health Treatment and AccessSchizophrenia research and treatmentAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.