SchoRes Journal of Social Sciences and Humanities

Artificial Intelligence as Creator: A Survey on the Impact of AI on Art and Literary Expression

2026-01-28T17:19:58+00:00

Artificial Intelligence (AI) has rapidly evolved from a technical tool to an active agent in creative fields, profoundly influencing the domains of art and literature. Once limited to mechanistic and repetitive tasks, AI now contributes to imaginative and expressive processes traditionally considered uniquely human. This paper surveys the multifaceted impact of AI as a creative entity, focusing on how it redefines authorship, aesthetic value, and the creative process itself in the context of visual arts and literary production. Recent developments in generative models such as GPT, DALL·E, Midjourney, and other AI systems have opened new frontiers for storytelling, image generation, and poetic composition. These systems challenge the boundaries between machine and human creativity by producing artworksand texts that mimic, complement, or even surpass traditional modes of expression. In literature, AI generated poetry, novels, and scripts are reshaping ideas of originality and authorship, while in visual arts, algorithmic creativity is producing abstract art, photorealistic images, and experimental designs at scale. This transformation raises critical questions about ownership, intention, and the role of the artist in the age of automation. This paper explores the applications implications, and critiques of AI generated art and literature, drawing on examples from contemporary digital culture, publishing platforms, and artistic collaborations. It considers the philosophical, ethical, and cultural debates surrounding AI's creative autonomy and its impact on human identity, emotion, and imagination. Additionally, it investigates how artists, writers, and audiences perceive and interact with AI as co-creators. By surveying both the technological mechanisms and the socio-cultural reception of AI-generated creativity, the paper aims to provide a balanced understanding of how AI is transforming the cultural landscape. Ultimately, it examines whether AI can truly "create" in a human sense, or whether its outputs reflect new forms of collaboration and interpretation in a digitally augmented world.

Global Goals, Local Actions: A Review of Multi-Stakeholder Collaborations for Sustainable Development and Equity

2026-01-28T18:01:47+00:00

This paper explores the intersection between global development agendas and local implementation efforts by reviewing multi-stakeholder collaborations aimed at promoting sustainable development and equity. The SDGs, adopted by the United Nations in 2015, emphasize the importance of inclusive partnerships that bring together governments, civil society, the private sector, and local communities. While the SDGs offer a global blueprint, the practical realization of these goals depends heavily on local actions and cooperative governance. This review examines how various stakeholders work together to address key development challenges such as poverty, health, education, climate resilience, and social justice in different regional and cultural contexts. Drawing on a diverse range of case studies and interdisciplinary literature, this paper highlights the strategies, successes, and limitations of collaborative efforts across sectors and levels. It focuses on how power dynamics, resource sharing, institutional capacity, and community participation influence the effectiveness of these partnerships. Special attention is given to equity-focused initiatives that prioritize marginalized groups, indigenous communities, and gender-inclusive approaches. The paper also investigates the role of policy frameworks, digital innovation, and financial mechanisms in supporting or hindering sustainable collaborations. Through a critical synthesis of recent research and practice, the paper aims to identify patterns of successful engagement and the conditions that enable or constrain long-term impact. In doing so, it contributes to a deeper understanding of how global development goals can be translated into meaningful local action. Ultimately, the review underscores that achieving sustainable and equitable outcomes requires not only technical solutions but also trust, accountability, and shared vision among all stakeholders involved.

Digital Dependency and Human Disconnection: A Sociological Study of Technology’s Impact on Interpersonal Relationship

2026-01-28T17:35:38+00:00

In today's digitally mediated world, smartphone and social media usage have transformed interpersonal relationships in complex and often problematic ways. This study undertakes a comprehensive sociological investigation into the effects of digital dependency on human disconnection, focusing on the decline in offline relational quality and evolving social norms. Drawing on the theoretical frameworks of attachment theory and compensatory internet use theory, we propose that individuals with weaker early-life interpersonal bonds develop heightened reliance on digital media, thereby diminishing in-person communication skills and relational satisfaction Conversely, those with missing social needs may turn to online platforms for compensation. Our meta- analytic overview synthesizes findings from over 98 studies involving 134,593 participants, revealing a robust negative correlation between digital addiction and offline interpersonal relationships, while demonstrating a moderate positive correlation with online relations. Qualitative insights indicate that phubbing the habit of snubbing companions by using phones erodes trust and emotional intimacy in both familial and romantic contexts. Behavioral studies further show that both passive and active social media use predict increased loneliness over time, suggesting that digital engagement fails to substitute real-world social connection. Moreover, the phenomenon of continual partial attention and superficial communication is associated with increased depersonalization and decreased empathy. Our proposed mixed-methods study combining a cross-sectional survey and in-depth interviews seek to empirically validate these patterns within a sample of young adults aged 18–30. We anticipate confirming that high digital dependency predicts poor face-to-face relational satisfaction and elevated psychological distress. Implications include potential interventions such as structured digital detoxes to restore offline connectedness and design of technology that supports rather than disrupts meaningful interaction. This research contributes to digital sociology and public mental health discourses by clarifying the social costs of digital dependency and proposing actionable mitigation strategies.

Interlinked Narratives: A Comprehensive Review of Network Analysis in the Humanities and Social Science

2026-01-28T18:13:31+00:00

In recent decades, the rise of digital tools and computational methodologies has profoundly influenced the landscape of humanities and social science research. Among these, network analysis has emerged as a powerful approach for understanding complex relationships, patterns, and structures across diverse domains. This paper presents a comprehensive review of how network analysis is applied in the humanities and social sciences, examining both methodological frameworks and real-world applications. It traces the historical development of network thinking, starting from early sociograms and literary linkages to contemporary computational social science and digital humanities projects. In the humanities, network analysis is used to map connections in literary texts, historical correspondence, and cultural interactions, offering new perspectives on authorship, influence, and ideological dissemination. In the social sciences, it enhances our understanding of social capital, power dynamics, and community formation by quantitatively visualizing interpersonal, institutional, and societal networks. The paper also discusses key tools, datasets, and software platforms that facilitate such analyses, including Gephi, Cytoscape, and Pajek, while highlighting the interpretive challenges researchers face in balancing quantitative precision with qualitative depth. Through case studies from literature, history, and digital sociology, this review identifies the main benefits, limitations, and future directions of using network analysis in interdisciplinary research. By integrating data-driven visualizations with contextual interpretation, network analysis not only reveals hidden structures in texts and societies but also transforms traditional academic narratives. This synthesis contributes to a growing body of work that supports a more interconnected and computationally enriched understanding of human culture and social organization.

Engaging the Public: A Review of Citizen Science and Participatory Research in the Humanities

2026-01-28T17:47:57+00:00

In recent years, citizen science and participatory research have emerged as powerful tools for bridging the gap between academic inquiry and public engagement, particularly within the humanities. Traditionally perceived as domains reserved for scholars and experts, the humanities are increasingly embracing collaborative methodologies that value the knowledge, perspectives, and contributions of non-professional participants. This paper presents a comprehensive review of citizen science and participatory research in the humanities, examining how these approaches redefine the relationship between researchers and the public. By highlighting historical foundations and contemporary shifts, it explores how public involvement can enrich research on culture, history, literature, heritage, and social identity. The study draws attention to the theoretical frameworks that inform participatory approaches, such as co-production of knowledge, epistemic justice, and inclusive research ethics. It also examines the tools and digital platforms that enable wide-scale collaboration, from crowdsourced transcription and annotation projects to open archives and interactive storytelling platforms. Moreover, this review discusses the practical and institutional models that support participatory research, including museums, libraries, community archives, and online humanities labs. Through illustrative case studies, the paper showcases successful examples of citizen engagement, including heritage mapping, oral history projects, and collaborative curation efforts. While acknowledging the immense potential of participatory methods, it also critically reflects on challenges such as data reliability, representation, consent, and the digital divide. Ethical considerations and questions of authority and recognition remain central to evaluating these models of engagement. In conclusion, this review argues that citizen science and participatory research offer the humanities new pathways for social relevance, democratic knowledge production, and sustainable community partnerships. By placing public collaboration at the heart of research, the humanities can evolve into more inclusive and impactful disciplines that resonate with contemporary civic life and cultural memory.