درخت حوزه‌های تخصصی

Background: Misinformation has undergone significant transformations over the past few decades, evolving from relatively simple text-based fake news articles to highly sophisticate AI-driven content such as deepfakes and other forms of manipulated media.Aims: This paper traces the historical development of misinformation, its increasing reliance on Artificial Intelligence (AI), and the potential future trajectories of disinformation as AI technologies advance.Methodology: We begin by examining the shift from traditional text-based disinformation campaigns, often propagated via social media platforms, to more immersive and persuasive forms of AI-generated media.Discussions: We discuss how AI techniques, such as Generative Adversarial Networks and Natural Language Processing, have revolutionized the landscape of false information, allowing for the automation of misinformation production and its widespread dissemination at an unprecedented scale. Furthermore, this paper investigates the role of social media algorithms in amplifying disinformation, demonstrating how these platforms, originally designed to prioritize user engagement, inadvertently aid in the spread of false information by promoting sensationalized or emotionally charged content. Through an in-depth analysis of case studies, including the COVID-19 pandemic and the 2020 U.S. elections, this paper highlights the dangers posed by AI-generated misinformation, particularly deepfakes, which are becoming increasingly difficult to detect, even by advanced AI systems. The implications of this shift for democratic processes, public trust, and societal cohesion are profound. This paper also explores the ethical dilemmas posed by AI-driven misinformation and presents potential solutions through the lens of AI-enhanced detection technologies and policy interventions. Lastly, this paper emphasizes the urgent need for interdisciplinary cooperation between policymakers, technologists, and media organizations to mitigate the harmful impacts of AI-driven misinformation while preserving the integrity of information in the digital age.Conclusions: By exploring both technological and regulatory approaches, a comprehensive framework for understanding the evolving threat of AI-driven disinformation is essential and pathways for future research in this critical area is suggested.

Background: Over the past few decades, the rapid expansion of cross-border e-commerce has reshaped global trade, acting as a key driver of economic transformation. As a crucial aspect of globalization, e-commerce has facilitated the integration of businesses into international markets, reducing geographical barriers and transaction costs while fostering economic development.Aims: The present study aims to examine e-commerce and its role in economic transformation from a business management perspective.Methodology: The research employs a descriptive survey method, with a statistical population comprising all students and graduates in the fields of e-commerce and business management in Bandar Abbas. Using a convenience sampling method, a total of 203 individuals were selected as the study sample. A researcher-developed questionnaire with a reliability coefficient exceeding 0.8 was distributed among the participants. Data analysis was conducted using descriptive and inferential statistical methods, specifically the T-test, through SPSS version 22.Findings: The findings revealed that the T-test statistic for the role of e-commerce in accelerating economic transactions was 73.7, its impact on inflation in the global economy was 54.9, and its contribution to facilitating transactions was 65.5, all statistically significant at a 95% confidence level (P<0.05).Conclusions: E-commerce plays a significant role in enhancing the speed of economic transactions, influencing inflation in the global economy, and facilitating trade from a business management perspective.

Objective: This study aimed to evaluate the effectiveness of a forgiveness-based intervention in enhancing marital commitment and restoring trust among married individuals experiencing relational distress. Methods: A randomized controlled trial was conducted with 30 married participants from Indonesia, randomly assigned to either an intervention group (n = 15) or a control group (n = 15). The intervention group received six structured forgiveness-based therapy sessions over six weeks, while the control group received no intervention. Standardized measures of marital commitment and trust were administered at three time points: pre-test, post-test, and five-month follow-up. Data were analyzed using repeated measures analysis of variance (ANOVA) and Bonferroni post-hoc tests, with SPSS version 27. Findings: Results from repeated measures ANOVA revealed significant time × group interaction effects for marital commitment (F(2, 54) = 17.12, p < .001, η² = .39) and trust (F(2, 54) = 19.68, p < .001, η² = .42). Bonferroni post-hoc analyses indicated that both marital commitment and trust significantly increased from pre-test to post-test (p < .001) and were maintained at the five-month follow-up (p < .001), with no significant decline between post-test and follow-up (p > .05). Conclusion: The therapeutic gains were not only immediate but also sustained over time, supporting the use of structured forgiveness interventions in marital counseling settings. These findings highlight the potential of forgiveness as a valuable tool in relationship repair and emotional healing.

Objective: This study aimed to compare the effectiveness of compassion-focused therapy (CFT) and schema therapy on psychological well-being and sense of coherence among infertile women. Methods and Materials: A quasi-experimental, pretest-posttest-follow-up design with a control group was used. Thirty infertile women referring to Saarem Hospital in Tehran during the first half of 2024 were randomly assigned to three groups: CFT (n=10), schema therapy (n=10), and waitlist control (n=10). The CFT group received eight sessions, and the schema therapy group received ten sessions. Psychological well-being was assessed using the 18-item Ryff Psychological Well-Being Scale, and sense of coherence was measured with the Flensborg et al. (2006) Sense of Coherence Questionnaire. Data were analyzed using multivariate analysis of covariance (MANCOVA) and Bonferroni post-hoc tests. Findings: MANCOVA results showed significant differences between groups on both psychological well-being and sense of coherence at posttest (Wilks’ Lambda = .350, F(4,54)=18.76, p<.001). Univariate tests indicated significant group effects on psychological well-being (F(2,27)=18.45, p<.001) and sense of coherence (F(2,27)=22.13, p<.001). Post-hoc analyses revealed that CFT significantly improved psychological well-being compared to schema therapy and control at posttest (p<.05), while schema therapy led to greater improvements in sense of coherence compared to CFT and control (p<.05). Both interventions maintained their effects at the one-month follow-up. Conclusion: The findings suggest that compassion-focused therapy is more effective in enhancing psychological well-being, whereas schema therapy is more effective in strengthening sense of coherence among infertile women. Both interventions showed sustained benefits over time, highlighting the importance of incorporating structured psychological treatments into infertility care to promote adaptive functioning and resilience.