درخت حوزه‌های تخصصی

Background: The 2024 Iranian presidential election intensified political polarization on Persian Twitter (X), where ideological factions engaged in networked contestation. This study employs social network analysis to examine polarization mechanics, mapping key actors, echo chambers, and discursive strategies. Findings illuminate digital factionalism, algorithmic amplification, and the role of influencers in political mobilization.Aims: This study explores the mechanisms driving political polarization on Persian Twitter (X) during the 2024 Iranian presidential election.Methodology: Utilizing computational social science methodologies, the research combines social network analysis (SNA) and thematic analysis to examine over 133,000 active users and numerous election-related hashtags. Data collection spanned June 1–16, 2024, leveraging Twitter's API to identify clusters, user interactions, and thematic trends. Key tools included the Louvain algorithm for community detection and centrality measures for network analysis, visualized through Gephi software.Findings: Findings reveal a fragmented political landscape characterized by ideological divides, echo chambers, and limited interaction between opposing factions. Analysis identified six major clusters, each aligned with distinct political affiliations, including reformists, conservatives, and opposition groups. Thematic analysis further highlighted the rhetoric surrounding leading candidates Masoud Pezeshkian and Saeed Jalili, revealing polarized sentiments and distinct narratives among their supporters and detractors. The study also underscores the role of platform algorithms, influencer strategies, and group identities in deepening polarization.Conclusions: This research contributes to the understanding of digital polarization within Iran's socio-political context. It emphasizes the dual role of social media as both a space for public discourse and a driver of ideological segregation. Recommendations include strategies for promoting digital literacy, fostering inclusive discussions, and enhancing algorithmic transparency to mitigate polarization in Iran.

Purpose: The purpose of this research was to compare the effectiveness of emotional intelligence training and self-compassion practices on mental well-being, academic vitality, and academic self-concept among female high school students in Hamedan. Methodology: The research method was a semi-experimental three-group design (two experimental groups and one control group) with pre-tests and post-tests. The sample was selected using multi-stage cluster sampling from the population of female high school students in Hamedan in the academic year 2023-2024, with 60 individuals randomly chosen (20 in the first experimental group, 20 in the second experimental group, and 20 in the control group). Measurement tools included the Keyes and Magyar-Moe (2003) Mental Well-being Scale and the Liu and Wang (2005) Academic Self-concept Questionnaire. MANCOVA test and its assumptions were used to test the research hypotheses. ANOVA (one-way analysis of variance) with box plot and post-hoc tests like Tukey and Scheffé were employed for multiple comparisons in the post-test using SPSS version 23. Findings: The results showed that both emotional intelligence training and self-compassion practices are effective in improving the mental well-being and academic self-concept of female high school students in Hamedan. Additionally, it was found that self-compassion training is more effective than emotional intelligence training in enhancing academic self-concept, but there is no significant difference in the effectiveness of emotional intelligence training and self-compassion practices on mental well-being. Conclusion: Psychologists can help students gain more awareness of their emotions and learn how to deal with them, set meaningful and achievable goals, increase academic vitality and motivation through realistic goals aligned with personal interests, and strengthen their academic self-confidence. Students should be taught how to cope with educational stress and anxiety, find creative solutions, and learn to utilize available resources and supports.