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

Abstract

Abstract 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.