Gay men who believe to sound ‘gay’ expect to be discriminated against because of their voices and gay-sounding men are discriminated against in the hiring process. We examined whether uttering an agency-based message decreased discrimination expectancy and enactment. In Study 1a (N = 256; gay and bisexual men) and Study 1b (N = 216; gay men), speakers uttered agentic (vs. neutral) messages. We assessed their self-perception as gay sounding, agency self-attribution and discrimination expectancy. Uttering agentic (vs. neutral) messages made the speakers self-perceive as more agentic and this decreased discrimination expectancy. Additionally, self-perception as gay sounding predicted discrimination expectancy. In Study 2 (N = 466), heterosexual participants listened to gay- and straight-sounding speakers uttering either neutral or agentic messages and rated them in terms of agency and employability. Gay-sounding speakers uttering agentic messages were less likely to be discriminated against than when uttering neutral messages. Results show the positive impact of linguistic strategies involving agentic messages to reduce discrimination expectancy and hiring biases.
Any war increases at least twice the prevalence of post-traumatic stress disorder (PTSD) in its victims. Post-traumatic stress disorder (PTSD) affects about 10% of car accident victims, half of the people who have experienced rape or war, and victims of violence. PTSD negatively affects the quality of life. It is associated with direct and indirect health costs. Any effort to treat and prevent PTSD with evidence-based methods is our obligation toward trauma victims and to professionals at an increased risk of job-related traumatization. In the paper, we will focus on three aspects. First – a rationale of decision making – the role of evidence in elaborating the intervention guidelines will be described. Second, an overview of evidence-based guidelines for the psychological help and for the diagnosis and treatment of PTSD will be presented, according to current NICE (National Institute of Care Excellence) and APA (American Psychological Association) and meta-analyses focusing on war-related trauma. The third part of the paper will be devoted to the prevention of PTSD in people who are exposed to professional, duty-related trauma – the data on the efficacy of preventive interventions together with a short description of the programs (on the example of “Effective performance under stress” program designed to prevent PTSD in firefighters and other professions).
In this study, we explore the use of Large Language Models (LLMs) to counteract hate speech. We conducted the first real-life A/B test assessing the effectiveness of LLM-generated counter-speech. During the experiment, we posted 753 automatically generated responses aimed at reducing user engagement under tweets that contained hate speech toward Ukrainian refugees in Poland.Our work shows that interventions with LLM-generated responses significantly decrease user engagement, particularly for original tweets with at least ten views, reducing it by over 20%. This paper outlines the design of our automatic moderation system, proposes a simple metric for measuring user engagement and details the methodology of conducting such an experiment. We discuss the ethical considerations and challenges in deploying generative AI for discourse moderation.
Psychotherapy as an evidence-based clinical practice is a relatively young field. In defining psychotherapy, we will outline a continuum – from the use of psycho-
logical methods to improve well-being to psychotherapy as an evidence-based method of treating mental disorders. We discuss the types of outcome research,
metaanalyses and recommendations for practice. Based on the example of research program TRAKT on psychotherapy and pharmacotherapy PTSD conducted in Poland, we will point out important questions of modern psychotherapy regarding the interpretation of research results, patient safety, personalization
of treatment and ways of development and its place in the mental healthcare.
