Volume-3, Issue-2, Jul-Dec-2025
Volume-3, Issue-2, Jul-Dec-2025
Article-01
Algorithmic Influence on Youth Political Cognition: A Deep Behavioral Analysis of Short-Form Video Platforms
Author:Pages:38-45
DOI: https://doi.org/10.55306/GRJSSM.2025.030101
Abstract:
The emergence of short-form video platforms and their rapid development in the past two years (Tik Tok, Instagram Reels, YouTube Shorts) has changed the way Gen Z consumes information, and the issue of the impact of the algorithm on political cognition is raised. Such sites rely on AI-based recommendation systems that customize the feed to the users, which may influence their political views and opinions. Nonetheless, current literature focuses mostly on the behavioral or algorithmic facet of the problem but does not present an analytical framework that combines the two. This paper considers the effects of algorithmic exposure on political cognition in Gen Z users by proposing a hybrid cognitive-AI model. The behavioral survey data is used with interaction-based indicators and quantified with the help of Structural Equation Modeling and machine learning methods. The main variables are the exposure to an algorithm, the cognitive bias and the change in political perception. The results have shown that the idea of algorithmic curation contributes to the strength of cognitive bias and affects political perception greatly. The research provides a new framework of political cognition in digital space with AI.
Key Words: Algorithmic Influence, Political Cognition, Cognitive Bias, Short-Form Video Platforms, Gen Z, Recommendation Systems, Behavioral Analytics.
Citation: Shizy RKC, “Algorithmic Influence on Youth Political Cognition: A Deep Behavioral Analysis of Short-Form Video Platforms” Global Research Journal of Social Sciences and Management, Vol. 3(2), pp. 38-45, 2025, doi: 10.55306/GRJSSM.2025.030201
Article-02
Hybrid Work Ecology Model: A Socio-Behavioural Framework for Sustainable Work-Life Integration in Urban India
Author:Pages: 46-54
DOI: https://doi.org/10.55306/GRJSSM.2025.030202
Abstract:
The post-pandemic restructuring of work arrangements has further intensified the introduction of hybrid work arrangements in urban India, especially in the Information Technology Enabled Services (ITES) industry. On the one hand, hybrid work is flexible and less stressful in terms of commuting, on the other hand, it increases the level of digital exhaustion, blurs family lines, and redefines organizational relationships of trust. Current research investigates these factors one by one without a multidimensional ecological model that has the ability to encompass the interplay of these factors on sustainable work-life integration. To overcome this gap, the paper will introduce a new Work Ecology Index (WEI), which combines digital fatigue, family role negotiation, and organizational trust into a single socio-behavioural measure model. The survey was done on 412 ITES employees in Chennai, one of the major urban IT centers in India. Structural Equation Modeling (PLS-SEM) was used to analyse the data. Measurement model had high reliability and validity (CR = 0.80, AVE = 0.50) and model fit measures were good (SRMR = 0.054). The results of the structural analysis showed that digital fatigue has detrimental effects on sustainable work life integration (0.001, 0.41), and family role negotiation (0.46, 0.36) and organizational trust (0.48, 0.41) have substantial positive impacts. The model explains 64% of the variance (R² = 0.64). Work Ecology Index is a policy tool that can be used by HR leaders and urban organizations to develop trust-based hybrid governance systems and sustainable employee well-being policies in emerging economies.
Key Words: Professional Ethics, Technology Transfer, Intellectual Property (IP).
Citation: Shizy RKC, “Hybrid Work Ecology Model: A Socio-Behavioural Framework for Sustainable Work-Life Integration in Urban India” Global Research Journal of Social Sciences and Management, Vol. 3(2), pp. 46-54, 2025, doi: 10.55306/GRJSSM.2025.030202
Article-03
CDigital Widowhood and Emotional Displacement: A Socio-Digital Analysis of Elderly Women in Transnational Families
Author:Pages: 63-70
DOI: https://doi.org/10.55306/GRJSSM.2025.030203
Abstract:
The growing number of transnational families has altered the conventional care giving and communication patterns especially among the elderly women. Although digital technologies can create a high level of virtual communication, they cannot confirm emotional satisfaction, and this process is known as digital widowhood. Although the topic of digital communication in older adults is increasingly being considered, there are no quantifiable models that can be used to evaluate emotional displacement within this group. This paper seeks to examine the emotional isolation and identity rebuilding in elder women in tech-mediated families using a new Digital Widowhood Index (DWI). It uses a mixed-method, which integrates survey data with qualitative interviews and Structural Equation Modeling to confirm the findings. The most important variables are the frequency of digital interaction, perceived emotional support, and identity transformation. The results indicate that increased digital communication does not always correlate with emotional intimacy, which points to the disconnect between connectivity and care. The research adds a novel socio-digital model of aging, isolation, and identity in digitally-linked family systems.
Key Words: Digital Widowhood, Emotional Displacement, Elderly Women, Transnational Families, Digital Communication, Identity Reconstruction, Social Isolation.
Citation: SShizy RKC, “Digital Widowhood and Emotional Displacement: A Socio-Digital Analysis of Elderly Women in Transnational Families” Global Research Journal of Social Sciences and Management, Vol. 3(2), pp. 63-70, 2025. doi: 10.55306/GRJSSM.2025.030202
Article-04
Cyber-Resilience in Higher Education: A Social Defense Model Against Online Harassment in Virtual Campuses
Author:Pages: 26-30
DOI: https://doi.org/10.55306/GRJSSM.2025.030104
Abstract:
The sudden growth of the virtual campuses in the higher education has led to a greater exposure to online harassments such as cyberbullying and abusive interaction. Though the issues are increasingly becom res to counter the challenges. Current methods are likely to concentrate on technological moderation/individual coping modalities, which has led to splintered cyber-safety processes. This paper presents a multi-layered model of cyber-resilience involving the incorporation of AI-assisted moderation with psychological training on resilience and institutional governance. It is done on the basis of a quantitative methodology with the help of survey and institutional evidence and assessed with the help of Structural Equation Modeling and AI-based moderation assessment. The variables are critical such as cyber exposure, the level of online harassment, psychological stability, effectiveness of AI moderation, and institutional support. The results indicate that AI-based detection in the context of human-centered resilience strategies is much more effective in enhancing cyber safety. The research adds to an innovative socio-technical framework that will increase the institutional readiness and facilitate safer virtual learning settings.
Key Words: Cyber-Resilience, Online Harassment, Virtual Campuses, Higher Education, AI Moderation, Psychological Resilience, Cyber Safety, Institutional Governance
Citation: Shizy RKC, “Cyber-Resilience in Higher Education: A Social Defense Model Against Online Harassment in Virtual Campuses” Global Research Journal of Social Sciences and Management, Vol. 3(2), pp. 71-78, 2025. doi: 10.55306/GRJSSM.2025.030204
Article-05
Cultural Memory in the Age of AI: An AI-Assisted Framework for Intergenerational Transmission of Indigenous Knowledge Through Digital Storytelling Systems
Author:Pages: 31-37
DOI: https://doi.org/10.55306/GRJSSM.2025.030105
Abstract:
The indigenous knowledge and oral traditions have been gradually eroded due to the rapid digitalization of the society that has traditionally been based on the intergenerational transmission. Although there are increasing efforts in digital preservation, the current practices do not have systematic and scalable frameworks of capturing and maintaining cultural accounts. In this paper, the researcher contends that AI can be used to support cultural remembrance by using digital storytelling platforms. The method combines narrative data collection, natural language processing, and semantic clustering in order to organize and interpret indigenous oral narratives. These variables are the narrative richness, cultural relevance, semantic coherence and knowledge retention. The evaluation of engagement and effectiveness is to be provided with user-based evaluation. The results indicate that AI-based methods are important in terms of preserving, maintaining, and transferring cultural knowledge. The suggested model brings a new dimension to the preservation of oral heritage by connecting the artificial intelligence to the cultural memory systems.
Key Words: Cultural Memory, Indigenous Knowledge, Digital Storytelling, Artificial Intelligence, Narrative Mining, Semantic Clustering, Oral Heritage Preservation.
Citation: Shizy RKC, “Cultural Memory in the Age of AI: An AI-Assisted Framework for Intergenerational Transmission of Indigenous Knowledge Through Digital Storytelling Systems” Global Research Journal of Social Sciences and Management, Vol. 3(2), pp. 79-86, 2025.doi: 10.55306/GRJSSM.2025.030205