Digital Altruism and Social Intelligence Relationship among youth: Case of Addis Ababa University

dc.contributor.advisorDawit Mekonnen
dc.contributor.authorBetelhem Tesfaye
dc.date.accessioned2026-02-06T08:52:53Z
dc.date.available2026-02-06T08:52:53Z
dc.date.issued2025-06
dc.description.abstractstudents through structured questionnaires. Descriptive statistics used to analyse demographic variables, while Pearson correlation and multiple linear regression were employed to examine the analytical power of each component of social intelligence on digital altruism. The findings reveal that social skills and social awareness are significant positive predictors of digital altruism, supporting the first two hypotheses. However, social information processing did not show statistically significant relationship with digital altruism, suggesting its influence may be mediated by other psychological or contextual variables. The study also found that most participants were between in their 20 - 22 years old, female students are more likely than male students to engage in digital altruism, and students in later years of university exhibit higher levels of digital altruism than those in earlier years. Platforms such as TikTok, Instagram, and YouTube primarily for entertainment and educational purposes use. These results contribute to the understanding of how different aspects of social intelligence shape prosocial behaviours in digital contexts. It highlights the importance of nurturing social emotional competencies in youth as a way of promoting ethical and empathetic digital engagement. The study concludes with recommendations for educators, policymakers, and digital platform developers to integrate social intelligence training into university curricula and digital literacy programs
dc.identifier.urihttps://etd.aau.edu.et/handle/123456789/7647
dc.language.isoen
dc.publisherAddis Ababa University
dc.subjectSocial Intelligence Relationship among youth
dc.titleDigital Altruism and Social Intelligence Relationship among youth: Case of Addis Ababa University
dc.typeThesis

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