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Journal of Social Science Utilizing Technology
Published by Yayasan Adra Karima Hubbi
ISSN : 30265959     EISSN : 3026605X     DOI : 10.70177/jssut
Core Subject :
Journal of Social Science Utilizing Technology focused on new research addressing Information, Management, Educational Technology, eLearning, Media Management, Human Resources, Fine and Applied Arts, Humanities Social Sciences, General and CrossDisciplinary and Communications Technologies as Applied to the Digital Worlds of Business, Government and Non-Governmental Enterprises. The Journal publishes work from all disciplinary, theoretical and methodological perspectives. It is designed to be read by researchers, scholars, teachers and advanced students in the fields of Information Systems, Management and Information Science, as well as information technology developers, consultants, software vendors, and senior business and information technology executives seeking an update on current experience and future prospects in relation to contemporary information and communications technologies.
Arjuna Subject : -
Articles 124 Documents
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Digital Natives and Civic Disengagement: Investigating the Role of Social Media Echo Chambers on Youth Political Apathy John Ngirabong; Monica Kintomw; Timothy Rechab
Journal of Social Science Utilizing Technology Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i4.2875

Abstract

Background. The growing prevalence of algorithmically curated social media environments has intensified concerns about youth civic disengagement, particularly among digital natives who rely heavily on online platforms for information and social interaction. Emerging scholarship suggests that echo chambers may limit exposure to diverse viewpoints, yet their specific influence on political apathy among young users remains insufficiently examined. Purpose. This study aims to investigate how social media echo chambers shape patterns of civic disengagement and attenuate political motivation among digital native populations. Method. A mixed-methods design was employed, combining a survey of 512 respondents aged 18–25 with in-depth interviews and digital trace analysis of users’ online interaction networks. Results. The findings indicate that strong echo chamber effects correlate with reduced interest in public affairs, lower perceived political efficacy, and diminished motivation to participate in offline or institutional civic activities. Interview data reveal that repetitive, ideologically homogeneous content fosters a sense of political fatigue and reinforces disengaged orientations. Conclusion. The study concludes that echo chambers contribute to youth political apathy not through coercive influence but through the gradual normalization of passivity and selective avoidance within digital cultures. These results underscore the need for media literacy interventions and platform-level design strategies that promote exposure to diverse political perspectives.
Beyond The ‘Like’: The Influence of Social Media Algorithms on the Formation of Social Movements and Collective Identity Liam Taylor; Olivia Williams; Benjamin Carter
Journal of Social Science Utilizing Technology Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i5.2876

Abstract

Background. Social media platforms have become a pivotal force in shaping modern social movements, with algorithms playing a significant role in influencing collective behavior and identity. This research investigates the impact of social media algorithms on the formation of social movements and the construction of collective identity. Purpose. The study explores how algorithmic content curation, such as personalized recommendations and engagement-driven metrics, affect users' perceptions and participation in social movements. The primary objective is to analyze how these algorithms enhance or hinder the visibility of movements and influence individuals' alignment with collective causes. Method. A mixed-methods approach is employed, combining quantitative analysis of social media data with qualitative interviews to understand user experiences and motivations. Results. The findings indicate that social media algorithms both empower and constrain social movements by amplifying certain narratives while marginalizing others. The study also reveals that algorithms contribute to the creation of echo chambers, reinforcing group identities but also limiting exposure to diverse perspectives Conclusion. . In conclusion, while social media algorithms provide a platform for social mobilization, they also present challenges related to inclusivity and diverse representation. The research highlights the dual nature of algorithmic influence and calls for a more ethical approach to algorithm design to foster democratic participation in online movements.
Anatomy of A Hoax: A Network Analysis of Disinformation Propagation and Its Impact on Public Trust During Health Crises Nyasha Zindove; Tendai Makoni; Chipo Mutema
Journal of Social Science Utilizing Technology Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i5.2877

Abstract

Background. The rapid spread of disinformation during health crises has significant implications for public trust, especially when misinformation undermines health policies and safety measures. This research examines the anatomy of a disinformation hoax by analyzing the network dynamics of its propagation and the subsequent impact on public trust. The study focuses on the recent health crises, specifically during the COVID-19 pandemic, when false information about health measures, vaccines, and the virus itself circulated widely on social media platforms. Purpose. The primary objective of this research is to understand how disinformation networks form, spread, and influence public trust in health institutions and policies. Method. A network analysis approach was employed to map the flow of disinformation across social media platforms, identifying key nodes and influencers responsible for its spread. The study also incorporates survey data to measure the impact of exposure to disinformation on public trust. Results. Findings reveal that disinformation networks are highly interconnected, with certain individuals and groups acting as central nodes in the dissemination process. Moreover, exposure to disinformation significantly correlated with decreased trust in health authorities and the adoption of health measures. Conclusion. In conclusion, disinformation poses a serious threat to public trust during health crises, emphasizing the need for effective communication strategies and countermeasures to mitigate its impact.
Immersive Empathy: Assessing the Efficacy of Virtual Reality (VR) Simulations in Developing Cross-Cultural Competence in Higher Education Ahmed Ali; Fadumo Ibrahim; Mohamed Ahmed
Journal of Social Science Utilizing Technology Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i5.2898

Abstract

Background. In higher education, fostering cross-cultural competence is essential for preparing students to navigate a globally interconnected world. Traditional methods of teaching cultural understanding have often been limited by the constraints of classroom environments. Virtual Reality (VR) simulations present a promising tool for enhancing empathy and providing immersive, experiential learning opportunities. This research investigates the efficacy of VR simulations in developing cross-cultural competence among higher education students. Purpose. The study aims to assess whether VR-based experiences can effectively improve students' ability to understand and empathize with cultures different from their own. Method. A mixed-methods approach was employed, combining pre- and post-assessments of cross-cultural competence with qualitative feedback from participants. The sample consisted of 200 university students who engaged in a series of VR simulations designed to simulate interactions in diverse cultural contexts. Results. The results indicate a significant improvement in students' empathy levels and understanding of cultural nuances, as evidenced by both quantitative assessments and qualitative reflections. Conclusion. The study concludes that VR simulations offer a highly effective and engaging method for enhancing cross-cultural competence, providing an immersive platform for students to experience and reflect on cultural diversity in ways that traditional methods cannot replicate.
The AI Tutor's Dilemma: An Ethical Framework for Personalized Education Systems to Mitigate Data Privacy Risks and Algorithmic Bias John Mizzi; Mark Galea; Claire Camilleri
Journal of Social Science Utilizing Technology Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i5.2899

Abstract

Background. The integration of Artificial Intelligence (AI) into personalized education systems has the potential to revolutionize learning by providing tailored experiences for students. However, this shift raises significant ethical concerns, particularly regarding data privacy risks and algorithmic bias. AI-driven education systems collect vast amounts of personal data to adapt learning materials to individual needs, but this data usage often comes with risks related to student privacy, security, and the unintended reinforcement of biases. Purpose. This research aims to develop an ethical framework for personalized AI-based education systems, focusing on strategies to mitigate data privacy risks and prevent algorithmic bias. Method. A qualitative research approach was employed, combining a review of existing literature, case studies of AI in education, and expert interviews. Results. The results highlight the critical need for robust data protection measures, transparency in algorithmic decision-making, and continuous monitoring of AI systems to ensure fairness. The study proposes a set of ethical guidelines for designing AI tutors that prioritize student privacy, fairness, and accountability. Conclusion. In conclusion, this research contributes to the ongoing discourse on the ethical implications of AI in education, offering a framework to guide the development of more equitable and secure AI-powered educational tools.
Closing the Second-Level Digital Divide: An Analysis of Digital Literacy Interventions and Their Effect on Educational Outcomes in Rural Communities Laura Lehtonen; Jari Koskinen; Katri Salo
Journal of Social Science Utilizing Technology Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i6.2904

Abstract

Background. The digital divide remains a significant challenge, particularly in rural communities, where limited access to technology and digital resources exacerbates educational inequities. While the first-level digital divide focuses on access to technology, the second-level digital divide addresses disparities in digital literacy the ability to effectively use digital tools to enhance learning. This study explores the effectiveness of digital literacy interventions in rural communities and their impact on educational outcomes. Purpose. The primary objective of this research is to assess how targeted digital literacy programs can improve students’ learning experiences and academic performance in rural areas. Method. A mixed-methods approach was employed, combining quantitative analysis of academic performance data with qualitative interviews from students, teachers, and community stakeholders. Results. The findings reveal that digital literacy interventions significantly enhance students' technological proficiency, with improvements in both their academic performance and engagement with digital learning platforms. However, the study also identifies challenges related to the sustainability of these programs and the need for continuous support. Conclusion. In conclusion, this research underscores the importance of bridging the second-level digital divide through comprehensive digital literacy initiatives, which can help mitigate educational disparities in rural communities and contribute to long-term improvements in educational equity.
Platform Capitalism and Its Discontents: Labor Precarity and Resistance Strategies among Ride-Hailing Drivers in Indonesia Patricia González; Jorge García; Andrea Vargas
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.2905

Abstract

Background. This research examines the phenomenon of platform capitalism and its implications on labor precarity, focusing on ride-hailing drivers in Indonesia. The rise of digital platforms has revolutionized labor markets worldwide, yet it has also exacerbated the precariousness of work, especially in the gig economy. This study investigates how ride-hailing drivers navigate the challenges posed by platform capitalism, particularly concerning their labor rights, income security, and work conditions. Purpose. The research aims to explore the strategies of resistance employed by drivers to combat exploitation and negotiate for better working conditions. Method. The study employs a qualitative research design, utilizing in-depth interviews with ride-hailing drivers in major Indonesian cities to collect empirical data. Results. The findings reveal that while drivers experience significant labor precarity, including low pay, irregular work hours, and lack of social security, they actively resist through collective actions, advocacy for regulation, and negotiation with platforms. These resistance strategies reflect an emerging form of labor activism in the digital economy. Conclusion. The study concludes that despite the challenges of platform capitalism, there is potential for drivers to foster solidarity and advocate for structural reforms that address labor exploitation within the gig economy.
Fintech for Inclusion or Exclusion? The Impact of Digital Credit Scoring Algorithms on Access to Finance for the Urban Poor Samantha Gonzales; Luis Santos; Andres Villanueva
Journal of Social Science Utilizing Technology Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i6.2906

Abstract

Background. The rise of fintech and digital financial services has transformed access to finance, particularly for underserved populations. However, concerns have emerged regarding the potential for digital credit scoring algorithms to either facilitate inclusion or perpetuate exclusion, especially for the urban poor. In many developing countries, these algorithms are being used to assess creditworthiness, but their reliance on big data, social media activity, and other non-traditional factors raises questions about fairness and transparency. Purpose. This study aims to evaluate the impact of digital credit scoring algorithms on access to finance for the urban poor, focusing on whether these algorithms contribute to financial inclusion or exclusion. Method. The research adopts a mixed-methods approach, combining quantitative data analysis from fintech platforms with qualitative interviews from urban poor individuals in Indonesia. Results. The findings reveal that while digital credit scoring has improved access to financial products for some, it has also disproportionately excluded individuals with limited digital footprints or those lacking access to traditional banking systems. Conclusion. The study concludes that digital credit scoring, if not carefully regulated, risks exacerbating financial inequality. Policy recommendations include enhancing transparency, addressing biases in algorithmic decision-making, and ensuring greater financial literacy to bridge the digital divide.
Blockchain for Social Good: A Case Study on the Use of Distributed Ledger Technology for Transparent Supply Chains in Fair Trade Coffee Shahram Rahimov; Dilshod Tursunov; Gulbahor Alimova
Journal of Social Science Utilizing Technology Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v3i6.2907

Abstract

Background. The increasing demand for transparency in global supply chains has prompted the exploration of emerging technologies such as blockchain. In particular, the application of distributed ledger technology (DLT) in fair trade industries has the potential to enhance accountability, traceability, and ethical sourcing practices. This study examines the use of blockchain in the fair trade coffee sector, where transparency is crucial to ensure that producers receive fair compensation and consumers can trust the authenticity of ethical claims. Purpose. The primary aim of this research is to investigate how blockchain technology can improve transparency and efficiency in the coffee supply chain, from farm to consumer. Method. The study employs a case study methodology, focusing on a fair trade coffee cooperative that implemented blockchain to track the journey of coffee beans. Qualitative interviews with stakeholders, including farmers, distributors, and consumers, were conducted to gather insights into the practical applications and challenges of blockchain in this context. Results. The findings indicate that blockchain enhances transparency by providing immutable records of transactions, but challenges related to technology adoption, cost, and scalability remain. Conclusion. The study concludes that while blockchain shows promise for social good in fair trade coffee, further research and development are needed to address the limitations and expand its implementation across the industry.
The Illusion of Control: User Perceptions of Privacy and Data Agency on Social Media Platforms After GDPR Kabelo Dube; Kgomotso Seretse; Keaolwe Matlhomola
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.2908

Abstract

Background. The General Data Protection Regulation (GDPR), implemented in 2018, aimed to enhance user privacy and give individuals more control over their personal data on social media platforms. However, despite these regulatory changes, concerns about data privacy and user agency persist. This study explores how users perceive their privacy and data control on social media platforms post-GDPR, focusing on whether the regulation has led to a genuine increase in user agency or if it remains an illusion. Purpose. The research aims to assess the gap between perceived and actual control over personal data, as well as the factors that influence these perceptions. Method. Using a mixed-methods approach, the study combines surveys and in-depth interviews with social media users across various platforms. Results. The findings reveal that while users feel more empowered by the GDPR’s transparency requirements, many still feel limited in their ability to effectively control their data. Privacy settings remain confusing, and the complexity of consent mechanisms leaves users uncertain about the full extent of their data usage. Conclusion. The study concludes that, while GDPR has improved transparency, it has not fully addressed the underlying issues of user agency, suggesting the need for further regulatory refinement to provide users with meaningful control over their data.

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